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Introduction to Internet of Things (IoT) – Set 1

IoT stands for Internet of Things. It refers to the interconnectedness of physical devices, such as appliances and vehicles, that are embedded with software, sensors, and connectivity which enables these objects to connect and exchange data. This technology allows for the collection and sharing of data from a vast network of devices, creating opportunities for more efficient and automated systems.

Internet of Things (IoT) is the networking of physical objects that contain electronics embedded within their architecture in order to communicate and sense interactions amongst each other or with respect to the external environment. In the upcoming years, IoT-based technology will offer advanced levels of services and practically change the way people lead their daily lives. Advancements in medicine, power, gene therapies, agriculture, smart cities, and smart homes are just a few of the categorical examples where IoT is strongly established. 

IOT is a system of interrelated things, computing devices, mechanical and digital machines, objects, animals, or people that are provided with unique identifiers. And the ability to transfer the data over a network requiring human-to-human or human-to-computer interaction.

History of IOT

Here you will get to know about how IOT is involved and also from the explanation of each will let you know how IOT plays a role in this innovations !

  • 1982 – Vending machine: The first glimpse of IoT emerged as a vending machine at Carnegie Mellon University was connected to the internet to report its inventory and status, paving the way for remote monitoring.
  • 1990 – Toaster: Early IoT innovation saw a toaster connected to the internet, allowing users to control it remotely, foreshadowing the convenience of smart home devices.
  • 1999 – IoT Coined (Kevin Ashton): Kevin Ashton coined the term “Internet of Things” to describe the interconnected network of devices communicating and sharing data, laying the foundation for a new era of connectivity.
  • 2000 – LG Smart Fridge: The LG Smart Fridge marked a breakthrough, enabling users to check and manage refrigerator contents remotely, showcasing the potential of IoT in daily life.
  • 2004 – Smart Watch: The advent of smartwatches introduced IoT to the wearable tech realm, offering fitness tracking and notifications on-the-go.
  • 2007 – Smart iPhone: Apple’s iPhone became a game-changer, integrating IoT capabilities with apps that connected users to a myriad of services and devices, transforming smartphones into hubs.
  • 2009 – Car Testing: IoT entered the automotive industry, enhancing vehicles with sensors for real-time diagnostics, performance monitoring, and remote testing.
  • 2011 – Smart TV: The introduction of Smart TVs brought IoT to the living room, enabling internet connectivity for streaming, app usage, and interactive content.
  • 2013 – Google Lens: Google Lens showcased IoT’s potential in image recognition, allowing smartphones to provide information about objects in the physical world.
  • 2014 – Echo: Amazon’s Echo, equipped with the virtual assistant Alexa, demonstrated the power of voice-activated IoT, making smart homes more intuitive and responsive.
  • 2015 – Tesla Autopilot: Tesla’s Autopilot system exemplified IoT in automobiles, introducing semi-autonomous driving capabilities through interconnected sensors and software.

Four Key Components of IOT

  • Device or sensor
  • Connectivity
  • Data processing

IoT is network of interconnected computing devices which are embedded in everyday objects, enabling them to send and receive data.

Over 9 billion ‘Things’ (physical objects) are currently connected to the Internet, as of now. In the near future, this number is expected to rise to a whopping 20 billion. 

Main Components Used in IoT

  • Low-power embedded systems: Less battery consumption, high performance are the inverse factors that play a significant role during the design of electronic systems. 
  • Sensors: Sensors are the major part of any IoT application. It is a physical device that measures and detects certain physical quantities and converts it into signal which can be provided as an input to processing or control unit for analysis purpose.

Different types of Sensors

  • Temperature Sensors
  • Image Sensors
  • Gyro Sensors
  • Obstacle Sensors
  • MQ-02/05 Gas Sensor
  • Ultrasonic Distance Sensor
  • Control Units: It is a unit of small computer on a single integrated circuit containing microprocessor or processing core, memory and programmable input/output devices/peripherals. It is responsible for major processing work of IoT devices and all logical operations are carried out here.
  • Cloud computing: Data collected through IoT devices is massive, and this data has to be stored on a reliable storage server. This is where cloud computing comes into play. The data is processed and learned, giving more room for us to discover where things like electrical faults/errors are within the system. 
  • Availability of big data: We know that IoT relies heavily on sensors, especially in real-time. As these electronic devices spread throughout every field, their usage is going to trigger a massive flux of big data. 
  • Networking connection: In order to communicate, internet connectivity is a must, where each physical object is represented by an IP address. However, there are only a limited number of addresses available according to the IP naming. Due to the growing number of devices, this naming system will not be feasible anymore. Therefore, researchers are looking for another alternative naming system to represent each physical object.

Ways of Building IOT

There are two ways of building IoT:

  • Form a separate internet work including only physical objects. 
  • Make the Internet ever more expansive, but this requires hard-core technologies such as rigorous cloud computing and rapid big data storage (expensive).

In the near future, IoT will become broader and more complex in terms of scope. It will change the world in terms of 

“anytime, anyplace, anything in connectivity.”

IoT Enablers

  • RFIDs: uses radio waves in order to electronically track the tags attached to each physical object.
  • Sensors: devices that are able to detect changes in an environment (ex: motion detectors).
  • Nanotechnology: as the name suggests, these are tiny devices with dimensions usually less than a hundred nanometers.
  • Smart networks: (ex: mesh topology). 

Working with IoT Devices

  • Collect and Transmit Data : For this purpose sensors are widely used they are used as per requirements in different application areas.
  • Actuate device based on triggers produced by sensors or processing devices: If certain conditions are satisfied or according to user’s requirements if certain trigger is activated then which action to perform that is shown by Actuator devices. 
  • Receive Information: From network devices, users or devices can take certain information also for their analysis and processing purposes .
  • Communication Assistance: Communication assistance is the phenomenon of communication between 2 networks or communication between 2 or more IoT devices of same or different networks. This can be achieved by different communication protocols like: MQTT, Constrained Application Protocol, ZigBee, FTP, HTTP etc.

Working of IoTac

Working of IoTac

Characteristics of IoT

  • Massively scalable and efficient
  • IP-based addressing will no longer be suitable in the upcoming future.
  • An abundance of physical objects is present that do not use IP, so IoT is made possible.
  • Devices typically consume less power. When not in use, they should be automatically programmed to sleep.
  • A device that is connected to another device right now may not be connected in another instant of time.
  • Intermittent connectivity – IoT devices aren’t always connected. In order to save bandwidth and battery consumption, devices will be powered off periodically when not in use. Otherwise, connections might turn unreliable and thus prove to be inefficient.

Desired Quality of any IoT Application

Interconnectivity.

It is the basic first requirement in any IoT infrastructure. Connectivity should be guaranteed from any devices on any network then only devices in a network can communicate with each other.

Heterogeneity

There can be diversity in IoT enabled devices like different hardware and software configuration or different network topologies or connections, but they should connect and interact with each other despite so much heterogeneity.

Dynamic in Nature

IoT devices should dynamically adapt themselves to the changing surroundings like different situations and different prefaces.

Self-adapting and self configuring technology

For example, surveillance camera. It should be flexible to work in different weather conditions and different light situations (morning, afternoon, or night).

Intelligence

Just data collection is not enough in IoT, extraction of knowledge from the generated data is very important. For example, sensors generate data, but that data will only be useful if it is interpreted properly. So intelligence is one of the key characteristics in IoT. Because data interpretation is the major part in any IoT application because without data processing we can’t make any insights from data. Hence, big data is also one of the most enabling technologies in IoT field.

Scalability

The number of elements (devices) connected to IoT zones is increasing day by day. Therefore, an IoT setup should be capable of handling the expansion. It can be either expand capability in terms of processing power, storage, etc. as vertical scaling or horizontal scaling by multiplying with easy cloning.

Each IoT device has a unique identity (e.g., an IP address). This identity is helpful in communication, tracking and to know status of the things. If there is no identification then it will directly affect security and safety of any system because without discrimination we can’t identify with whom one network is connected or with whom we have to communicate. So there should be clear and appropriate discrimination technology available between IoT networks and devices.

Sensitive personal details of a user might be compromised when the devices are connected to the Internet. So data security is a major challenge. This could cause a loss to the user. Equipment in the huge IoT network may also be at risk. Therefore, equipment safety is also critical.

Architecture

It should be hybrid, supporting different manufacturer’s products to function in the IoT network.

As a quick note, IoT incorporates trillions of sensors, billions of smart systems, and millions of applications. 

Application Domains

IoT is currently found in four different popular domains: 

Modern Applications

  • Smart Grids and energy saving
  • Smart cities
  • Smart homes/Home automation
  • Earthquake detection
  • Radiation detection/hazardous gas detection
  • Smartphone detection
  • Water flow monitoring
  • Traffic monitoring
  • Smart door lock protection system
  • Robots and Drones
  • Healthcare and Hospitals, Telemedicine applications
  • Biochip Transponders (For animals in farms)
  • Heart monitoring implants (Example Pacemaker, ECG real time tracking)
  • Agriculture

Advantages of IoT

  • Improved efficiency and automation of tasks.
  • Increased convenience and accessibility of information.
  • Better monitoring and control of devices and systems.
  • Greater ability to gather and analyze data.
  • Improved decision-making.
  • Cost savings.

Disadvantages of IoT

  • Security concerns and potential for hacking or data breaches.
  • Privacy issues related to the collection and use of personal data.
  • Dependence on technology and potential for system failures.
  • Limited standardization and interoperability among devices.
  • Complexity and increased maintenance requirements.
  • High initial investment costs.
  • Limited battery life on some devices.
  • Concerns about job displacement due to automation.
  • Limited regulation and legal framework for IoT, which can lead to confusion and uncertainty.

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An Introduction to the Internet of Things

Introduction.

During the last few years, Internet of Things (IoT) devices have started becoming a more and more important component in our daily lives. Some common applications for IoT devices are:

  • Smart Home (eg. smart lamps)
  • Wearables (eg. smart-watches)
  • Autonomous vehicles
  • Smart cities
  • Smart Retail

According to Wikipedia, IoT devices are defined as:

"The Internet of things ( IoT ) is the extension of Internet connectivity into physical devices and everyday objects. Embedded with electronics, Internet connectivity, and other forms of hardware (such as sensors), these devices can communicate and interact with others over the Internet, and they can be remotely monitored and controlled "                                                                                                        –   Wikipedia [1]

One of the most interesting characteristics of IoT devices is that they are able to produce large amounts of data. This can be particularly used in applications such as Artificial Intelligence and Machine Learning.

Most of IoT devices can produce in fact a great variety of Time Series data which are of huge interest in Artificial Intelligence.

According to a study carried out by Global Data , the IoT market is projected to reach $318bn new worth by 2023 (in constantly rise compared to the previous years).

IoT-grow-chart

These projections are confirmed by the increased interest of companies such as Google and Microsoft to invest in IoT cloud platforms.

How do IoT devices work?

An IoT system is compromised of four main components:

  • Sensors: enables the devices to collect data from the environment surrounding the device (eg. velocity, GPS coordinates, temperature, etc...).
  • Connectivity: successively the data collected is sent to the cloud (through either WiFi or Bluetooth connection).
  • Data Processing: once the data is received by the cloud infrastructure, it can then be processed (eg. check if the data received adhere to the requirements and if its not alert the user).
  • User Interface: Once the data is processed, the results are then given to the and user.

As a simple workflow example, let's consider a security system in a house.

Our IoT device will check if there are any intruders in our house using a Computer Vision system ( Sensors ). The video recordings of the house are then sent to the cloud to see if there are any intruders or not ( Connectivity ). Successively, the data is processed in the cloud ( Data Processing ) and if some intruders are detected we get alerted ( User Interface ).

An IoT system could be able to alert us in many different ways (eg. phone call/message or App notification) and in some cases we could be able to control remotely the system itself (eg. lock the house doors).

how-iot-works-summary.001

Internet of Things cloud platforms

I will now introduce you to some of the most interesting IoT cloud platforms which can be used for analysing and controlling IoT devices.

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Google Cloud Internet of Things

Google Cloud is currently one of the main Cloud solutions provider on the market. Some of the packages offered by Google Cloud for IoT implementations are:

  • Cloud IoT Core: is used to set up the device(s) and establish a secure connection between them.
  • Cloud Machine Learning Engine: it allows users to create Machine Learning models from the data gathered by the IoT devices in order to increase and monitor performances.
  • Cloud Pub/Sub: provides real time analytics of the IoT devices.

Azure Internet of Things

Microsoft Azure is another really important cloud services provider. Azure is able to deliver both pre-customized and fully customizable solutions. In this way, Azure is able to provide solutions for both beginners and experts in IoT. Microsoft Azure enables to easily scale IoT systems to include devices from different manufacturers and also provides analytics and Machine Learning services support.

Amazon Web Services (AWS)

AWS is one of the most popular solution for cloud based services. AWS can enable to perform IoT projects from end to end and making use of the four following packages:

  • AWS IoT Core: is the basic package which can be used to set up IoT devices. Using IoT Core we can integrate different devices to communicate each other over a secured connection making possible to exchange data through cloud storage.
  • AWS IoT Analytics: is used to process and analyse all the data produced by IoT devices. Once all the data is stored using a semi-structured format (eg. JSON, CSV) it can be then used for Machine Learning purposes (eg. monitor and optimise the interaction between IoT devices).
  • AWS IoT Device Defender: is used to construct and personalise the security mechanisms of IoT devices (such as choosing device authentication and data encryption).
  • AWS IoT Device Management: enables to easily integrate new IoT devices to an environment and monitor/update their functionalities.

Internet of Things devices are definitely going to play a really important role in future technology advancements. Although there are still the same issues that have to be addressed. In fact, one of the main concerns about IoT devices can be cyber-security.

Because most IoT devices make use of a cloud centre to store their data and to collect useful information from the internet, that makes them vulnerable from Hackers attacks (creating a single point of failure).

In order to resolve this problem, could be either possible to increase the encryption standards (slowing down the transfer of data) or makes use of Artificial Intelligence security powered techniques such as Differential Privacy and Federated Learning .

In case a Hacker would be able to access control of an IoT device (or an entire group) there would be two main risks associated with it:

  • The Hacker would be able to access and steal sensitive data of the IoT device users.
  • The Hacker could be able to take remote control of the device itself.

In addition to the cloud services provided before, also the following ones can be considered a valid alternative: SAP , Oracle Internet of Things , Cisco IoT Cloud Connect , IBM Watson Internet of Things , etc...

If you want to keep updated with my latest articles and projects follow me and subscribe to my mailing list . These are some of my contacts details:

  • Personal Blog
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  • Medium Profile

Cover photo from this article .

Bibliography

[1] Wikipedia, Internet of Things. Accessed at: https://en.wikipedia.org/wiki/Internet_of_things

[2] Global IoT market to reach $318 billion by 2023, says GlobalData. Michelle Froese, Windpower Engineering & Development. Accessed at: https://www.windpowerengineering.com/business-news-projects/global-iot-market-to-reach-318-billion-by-2023-says-globaldata/

[3] Anni Junnila, HOW IOT WORKS – SUMMARY – TRACKINNO BLOG. Accessed at: https://trackinno.com/2018/08/09/how-iot-works-part-4-user-interface/how-iot-works-summary-001/

[4] Overview of the best IOT platforms. Tips for selecting the right cloud solution in 2019. Anna Davydova, Edsson. Accessed at: https://www.edsson.com/en/blog/article?id=iot-platforms

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Internet of Things (IoT)

The term “Internet of Things” (IoT) describes a network of “things” physical objects that are embedded with sensors, software, and other technologies in order to communicate and share data over the Internet with other devices and systems. IoT is a network in which, through network devices or routers and data exchange, all physical objects such as mechanical and digital machines, interrelated computing devices, animals, or humans are linked to the internet. Such devices vary from ordinary household items to specialized industrial instruments. Experts expect this number to rise to 10 billion by 2020 and 22 billion by 2025, with more than 7 billion linked IoT devices today.

IoT makes it possible to remotely control artifacts through the current network infrastructure; it also allows for autonomous system control. Over the past few years, the IoT has been one of the most significant 21st-century inventions. Now that we can connect kitchen appliances, vehicles, thermostats, baby monitors to the internet through embedded devices with everyday items, seamless communication between people, processes, and stuff is possible. Due to the integration of various technologies, real-time analytics, machine learning, commodity sensors, and embedded devices, the concept of the Internet of things has evolved. The Internet of Things is made possible by traditional fields of embedded systems, wireless sensor networks, control systems, automation (including home and building automation), and others.

With minimal human interference, physical items can exchange and collect data through low-cost computing, the cloud, big data, analytics, and mobile technologies. Digital systems can log, track, and change each interaction between connected things in this hyper-connected world. In the consumer market, IoT innovation is generally inseparable from items relating to the idea of the “smart home”, including gadgets and machines, (for example, lighting installations, indoor regulators, home security frameworks and cameras, and other home apparatuses) that help one or more normal biological systems, and can be controlled through gadgets related with that environment, for example, cell phones and keen speakers.

Kevin Ashton (a British technology pioneer) of Procter & Gamble, later MIT’s Auto-ID Center, coined the word “Internet of things” (IoT) in 1999, although he prefers the expression” Internet for things. He considered radio-frequency identification (RFID) at that stage as the key to the Internet of Things, allowing computers to handle all individual things.

Today, IoT and the possibilities of rising sales, reducing operating costs, and enhancing efficiencies inspire companies. From output flow tracking and remote equipment control to condition-based warnings and more, IoT affects every aspect of manufacturing. In order to minimize wastage, IoT-driven product flow management helps maximize material use. IoT gadget organizations give the information and bits of knowledge important to smooth out work processes, picture use designs, computerize measures, meet consistent prerequisites, and contend all the more viably in a changing business condition.

Healthcare IoT also allows connectivity from machine to machine, sharing of information, and interoperability to make healthcare delivery efficient. It can collect reports and analyze data in real-time, thus reducing the need for raw data to be processed. The fourth wave of the industrial revolution is often referred to as IoT, or Industry 4.0. The following are some common uses for IoT:

  • Smart manufacturing
  • Preventive and predictive maintenance
  • Smart power grids
  • Smart cities
  • Connected and smart logistics
  • Smart digital supply chains

Logistics can be converted from IoT to output to delivery. IoT also significantly helps the unit and weapon system. RFID (Radio Frequency Identification System) is an automated technology that allows artifacts and metadata to be recognized by computers. When connecting RFID to the internet terminal, readers can, if necessary, automatically recognize, track, and monitor attached objects in real-time; this uses IoT. With cloud-based IoT applications, business clients can rapidly improve existing cycles for gracefully chains, client care, HR, and money related administrations. There’s no compelling reason to reproduce whole business measures.

It’s the latest revolution; it is assumed that IoT would alter the way people connect, work, and live. In recent years, the IoT’s most significant development has been the exponential growth of Internet-connected and regulated devices. The wide scopes of utilizations for IoT innovation imply that the particulars can be altogether different starting with one gadget then onto the next yet there are fundamental qualities shared by most. Beginning from home apparatuses to huge modern hardware, all that will be savvy. IoT is the up and coming age of innovation.

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Introduction to internet of things

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Internet of Things (IoT) is presently a hot technology worldwide. Government, academia, and industry are involved in different aspects of research, implementation, and business with IoT. IoT cuts across different application domain verticals ranging from civilian to defence sectors. These domains include agriculture, space, healthcare, manufacturing, construction, water, and mining, which are presently transitioning their legacy infrastructure to support IoT. Today it is possible to envision pervasive connectivity, storage, and computation, which, in turn, gives rise to building different IoT solutions. IoT-based applications such as innovative shopping system, infrastructure management in both urban and rural areas, remote health monitoring and emergency notification systems, and transportation systems, are gradually relying on IoT based systems. Therefore, it is very important to learn the fundamentals of this emerging technology.

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CHANDAN KUMAR

CHANDAN KUMAR 75%

KANISH S

KANISH S 75%

PARUKH GOYAL

PARUKH GOYAL 75%

CHITKARA UNIVERSITY

RAVINDER KUMAR

RAVINDER KUMAR 75%

PRASHANT KUMAR SINGH

PRASHANT KUMAR SINGH 75%

Steel Authority of India Limited

MANISHA KUMARI

MANISHA KUMARI 75%

HANNA MARIAM MONCY

HANNA MARIAM MONCY 75%

College of Engineering, Adoor

GOHEL SHOBHEN ASHVINBHAI

GOHEL SHOBHEN ASHVINBHAI 75%

GOVERNMENT POLYTECHNIC FOR GIRLS, AHMEDABAD

DHANUSH PRABHU S

DHANUSH PRABHU S 73%

KALPANA DEVI S

KALPANA DEVI S 73%

EASWARI ENGINEERING COLLEGE

KARTHICK R

KARTHICK R 73%

College of Engineering Guindy

SUBRAMANIASIVA

SUBRAMANIASIVA 73%

NEIL GOGTE INSTITUTE OF TECHNOLOGY

ABDUL QAYUM

ABDUL QAYUM 73%

Department of Physics & Electronics, Dr. Ram Manohar Lohia Avadh University Ayodhya(Faizabad)

SRIDEVI R

SRIDEVI R 73%

MANIKANDAN G

MANIKANDAN G 73%

ST.JOSEPH COLLEGE OF ENGINEERING, CHENNAI

BORRA SRI HARSHITHA

BORRA SRI HARSHITHA 73%

R.V.R. & J.C. COLLEGE OF ENGINEERING

DR RACHANA P

DR RACHANA P 73%

NEW HORIZON COLLEGE

DISHA HANDA

DISHA HANDA 73%

KIET GROUP OF INSTITUTIONS

MUTHAMSETTY RITVIK VENKAT SAI

MUTHAMSETTY RITVIK VENKAT SAI 73%

S.R.M. INSTITUTE OF SCIENCE AND TECHNOLOGY

SANGAMITHRAA R

SANGAMITHRAA R 73%

KPR INSTITUTE OF ENGINEERING AND TECHNOLOGY

SATYASHEEL SRIVASTAVA

SATYASHEEL SRIVASTAVA 73%

GANDIBHOENA DURGA ANAND

GANDIBHOENA DURGA ANAND 73%

VIGNAN`S INSTITUTE OF INFORMATION TECHNOLOGY

KAJARI SUR

KAJARI SUR 73%

INSTITUTE OF ENGINEERING & MANAGEMENT

MADHURASHREE M

MADHURASHREE M 73%

S G M R N S MALLIKARJUNAGUPTA

S G M R N S MALLIKARJUNAGUPTA 73%

SRI VENKATESWARA UNIVERSITY COLLEGE OF ENGINEERING

ANISHA ROY

ANISHA ROY 72%

DR. B. C. ROY ENGINEERING COLLEGE

KARANAM PAVAN KALYAN

KARANAM PAVAN KALYAN 72%

YASH CHAUHAN

YASH CHAUHAN 72%

BHATI SATISH HARJIBHAI

BHATI SATISH HARJIBHAI 72%

INDIAN INSTITUTE OF TECHNOLOGY,ROORKEE

NITHYASHREE BALACHANDRAN

NITHYASHREE BALACHANDRAN 72%

DR M N SUDHA

DR M N SUDHA 72%

INSTITUTE OF ROAD AND TRANSPORT TECHNOLOGY

P S SUREKHA

P S SUREKHA 72%

MALLA REDDY ENGINEERING COLLEGE AND MANAGEMENT SCIENCES

VED MITRA

VED MITRA 72%

ENGINEERING COLLEGE JHALAWAR

HARISH RAJA M

HARISH RAJA M 72%

DR. MAHALINGAM COLLEGE OF ENGINEERING AND TECHNOLOGY

KANARAPU MOHAN SRINIVAS

KANARAPU MOHAN SRINIVAS 72%

AARTHI D

AARTHI D 72%

KARPAGAM COLLEGE OF ENGINEERING

G L SUMALATA

G L SUMALATA 72%

GOKARAJU RANGARAJU INSTITUTE OF ENGINEERING AND TECHNOLOGY

KOSARAJU PRATHYUSHA

KOSARAJU PRATHYUSHA 72%

NRI INSTITUTE OF TECHNOLOGY

KESHAV ABHAY SHAH

KESHAV ABHAY SHAH 72%

MANISHA RAJENDRA DHAGE

MANISHA RAJENDRA DHAGE 72%

SKN SINHGAD INSTITUTE OF TECHNOLOGY & SCIENCE

KARTIKEY RAJ SINGH

KARTIKEY RAJ SINGH 72%

SHRI RAM MURTI SMARAK COLLEGE OF ENGINEERING AND TECHNOLOGY

PRATHYUSHA GUDELLI

PRATHYUSHA GUDELLI 72%

BHAVANI B

BHAVANI B 72%

VIJAY KUMAR C

VIJAY KUMAR C 72%

SRI RAMAKRISHNA ENGINEERING COLLEGE

RAVI SHANKAR JHA

RAVI SHANKAR JHA 72%

MUZAFFARPUR INSTITUTE OF TECHNOLOGY, MUZAFFARPUR

DIVYADHARSHINI R

DIVYADHARSHINI R 72%

ASWIN S

ASWIN S 72%

KEERTANA SUJIT

KEERTANA SUJIT 71%

K K THYAGHARAJAN

K K THYAGHARAJAN 71%

R.M.D. ENGINEERING COLLEGE

SANJEEV K

SANJEEV K 71%

DR L SHERLY PUSPHA ANNABEL

DR L SHERLY PUSPHA ANNABEL 71%

ST.JOSEPHS COLLEGE OF ENGINEERING

SATHISHKUMAR S

SATHISHKUMAR S 71%

FATHIMA NILOOFAR K

FATHIMA NILOOFAR K 71%

MEA ENGINEERING COLLEGE

HIREN HARIBHAI VAVAIYA

HIREN HARIBHAI VAVAIYA 71%

SARVAJANIK COLLEGE OF ENGINEERING & TECHNOLOGY

ANJALY JAYARAJ

ANJALY JAYARAJ 71%

COLLEGE OF ENGINEERING ARANMULA

KHUSHI PATEL

KHUSHI PATEL 71%

ABES INSTITUTE OF TECHNOLOGY

ABDUL SHUKUR

ABDUL SHUKUR 71%

ABHILASH SHREEDHAR HEGDE

ABHILASH SHREEDHAR HEGDE 71%

AKSHANTULA NEHA

AKSHANTULA NEHA 71%

ANIRBAN GHOSH

ANIRBAN GHOSH 71%

WEST BENGAL STATE UNIVERSITY

TULASI SINGAMPALLI

TULASI SINGAMPALLI 71%

INDIAN INSTITUTE OF INFORMATION TECHNOLOGY, DESIGN AND MANUFACTURING, KANCHEEPURAM

SUBHAM SARKAR

SUBHAM SARKAR 71%

MUNISH SACHDEVA

MUNISH SACHDEVA 71%

I.K.G Punjab Technical University

DIKSHA

THE NORTHCAP UNIVERSITY

PATEL APURVA SURESHBHAI

PATEL APURVA SURESHBHAI 71%

GOVERNMENT POLYTECHNIC AHMEDABAD

VANI PRAKASHAN CHOYYAN

VANI PRAKASHAN CHOYYAN 71%

AASITHA VENKATA LAKSHMI SANAGAPALLI

AASITHA VENKATA LAKSHMI SANAGAPALLI 71%

VIGNANS FOUNDATION FOR SCIENCE,TECHNOLOGY AND RESEARCH

KIRRUTHICK E

KIRRUTHICK E 70%

College of Engineering Guindy, Anna University

RAMASAHAYAM RIDDHIMA REDDY

RAMASAHAYAM RIDDHIMA REDDY 70%

MAHATMA GANDHI INSTITUTE OF TECHNOLOGY

MURUGAVEL K

MURUGAVEL K 70%

SHANMUGA INDUSTRIES ARTS AND SCIENCE COLLEGE

RISHITHA KYAMA

RISHITHA KYAMA 70%

SHRIYA ATUL PRATAPWAR

SHRIYA ATUL PRATAPWAR 70%

DR. VISHWANATH KARAD MIT WORLD PEACE UNIVERSITY, PUNE

SUPRAAJHA M

SUPRAAJHA M 70%

LOKESH JONNADULA

LOKESH JONNADULA 70%

ABHISHEK NIGUDGI

ABHISHEK NIGUDGI 70%

Poojya Doddappa College Of Engineering

S VIGNESHWARI

S VIGNESHWARI 70%

RITESH YADAV

RITESH YADAV 70%

J. C. BOSE UNIVERSITY OF SCIENCE AND TECHNOLOGY, YMCA, FARIDABAD

NIDHI KUMARI

NIDHI KUMARI 70%

PATNA WOMENS COLLEGE

MAHESHWAR M

MAHESHWAR M 70%

COIMBATORE INSTITUTE OF TECHNOLOGY

MANNEM YETHIN CHANDRA SAI

MANNEM YETHIN CHANDRA SAI 70%

SHANTABAI ASHOK BADDI

SHANTABAI ASHOK BADDI 70%

M S RAMAIAH INSTITUTE OF TECHNOLOGY

HEMANTH S

HEMANTH S 70%

NITTE MEENAKSHI INSTITUTE OF TECHNOLOGY

SALAPU VAMSI KIRAN

SALAPU VAMSI KIRAN 70%

YALAVARTHY SAI GOKUL SAAVEER

YALAVARTHY SAI GOKUL SAAVEER 70%

ADITYA SINGH

ADITYA SINGH 70%

YESWANTH SAI YERRAMASU

YESWANTH SAI YERRAMASU 70%

CHEEDU VENKAT SAHITH REDDY

CHEEDU VENKAT SAHITH REDDY 70%

AAGAM JAIN

AAGAM JAIN 70%

A C SUMATHI

A C SUMATHI 70%

SAI SINDHU KOSARAJU

SAI SINDHU KOSARAJU 70%

GRANDHI S V S PAVAN SAHITH

GRANDHI S V S PAVAN SAHITH 70%

JALLURI JYOTHI SWAROOP

JALLURI JYOTHI SWAROOP 70%

SRI VASAVI INSTITUTE OF ENGINEERING & TECHNOLOGY

DIBYANSHU JAISWAL

DIBYANSHU JAISWAL 70%

INDIAN INSTITUTE OF TECHNOLOGY,KHARAGPUR

HARSHITH V

HARSHITH V 70%

LOKESHWARAN B

LOKESHWARAN B 70%

MRIDUL SETHI

MRIDUL SETHI 70%

MACHERLA LAHARI

MACHERLA LAHARI 70%

BURRI SHALINI

BURRI SHALINI 70%

SRINITHI

SRINITHI 69%

YERRAGUNTA GOWTHAM REDDY

YERRAGUNTA GOWTHAM REDDY 69%

KOLANUPAKA AKHILESHWAR REDDY

KOLANUPAKA AKHILESHWAR REDDY 69%

HARIRAM PRAKASH

HARIRAM PRAKASH 69%

Ardhas Technology India Pvt. Ltd.

PARIGI VARSHA REDDY

PARIGI VARSHA REDDY 69%

ARUN K

SACHIN SAHARA 69%

AKANKSHA JAGDISH

AKANKSHA JAGDISH 69%

RAGHAVENDAR S

RAGHAVENDAR S 69%

ANUSHA RAMKUMAR KOMMURU

ANUSHA RAMKUMAR KOMMURU 69%

DRONACHARYA GROUP OF INSTITUTIONS

SRINIVAS S HUNGUND

SRINIVAS S HUNGUND 69%

BASAVESHWAR ENGINEERING COLLEGE (AUTONOMOUS)

SREEJITH A

SREEJITH A 69%

THANGAL KUNJU MUSALIAR COLLEGE OF ENGINEERING

PATLOLLA SAI KEERTHANA

PATLOLLA SAI KEERTHANA 69%

VAIBHAV SETHIA

VAIBHAV SETHIA 69%

NATIONAL INSTITUTE OF TECHNOLOGY, SILCHAR

VRINDA

UNIVERSITY DEPARTMENTS, RAJASTHAN TECHNICAL UNIVERSITY

DARSH PARESHKUMAR PATEL

DARSH PARESHKUMAR PATEL 69%

DEVANG PATEL INSTITUTE OF ADVANCE TECHNOLOGY AND RESEARCH

RINJU ROY

RINJU ROY 69%

SAINTGITS COLLEGE OF ENGINEERING

ALEETA BOBY

ALEETA BOBY 69%

NEHRU COLLEGE OF ENGINEERING AND RESEARCH CENTRE

PREMKUMAR B

PREMKUMAR B 69%

SRI KRISHNA COLLEGE OF ENGINEERING AND TECHNOLOGY

SACHIN THAMMAIAH

SACHIN THAMMAIAH 69%

Telit Communications India Pvt Ltd

KANNIMUTHU S

KANNIMUTHU S 69%

G RAMGOPAL

G RAMGOPAL 69%

SHIVANI D

SHIVANI D 69%

SHAFNA

NAGAMALLI LOKESWARA 69%

JNTUA COLLEGE OF ENGINEERING PULIVENDULA

CHAVA SURYA VAMSI

CHAVA SURYA VAMSI 69%

NIVAASH I

NIVAASH I 69%

ANJALI SACHAN

ANJALI SACHAN 69%

PRANVEER SINGH INSTITUTE OF TECHNOLOGY

ABHISHEK AP

ABHISHEK AP 69%

ADITHYA HEGDE

ADITHYA HEGDE 69%

AKSHANSH VIJOY

AKSHANSH VIJOY 69%

DEEPAK

SIVA DURGA KALYANI LAKKOJU 69%

Aditya Engineering college

PRATIKSHYA SUPRAVAT JENA

PRATIKSHYA SUPRAVAT JENA 69%

KALINGA INSTITUTE OF INDUSTRIAL TECHNOLOGY

SOGALA HARSHITH

SOGALA HARSHITH 69%

Indian Institute Of Technology Tirupati

HIBA VALIYAPARAMPATH MALIYEKKAL

HIBA VALIYAPARAMPATH MALIYEKKAL 69%

GOVERNMENT ENGINEERING COLLEGE, KOZHIKODE

DHEERAJ SURESH

DHEERAJ SURESH 69%

NEIL RAJEEV JOHN

NEIL RAJEEV JOHN 69%

SRMIST( SRM Institute of Science and Technology)

DILBER P SHAKIR

DILBER P SHAKIR 69%

PRAJWAL DILIP NIVALE

PRAJWAL DILIP NIVALE 69%

THAKUR COLLEGE OF ENGINEERING AND TECHNOLOGY

ADVAITH VISWAMBHARAN SANKARAN

ADVAITH VISWAMBHARAN SANKARAN 69%

BINUSHYA PRAKASH E

BINUSHYA PRAKASH E 69%

GOVERNMENT COLLEGE OF TECHNOLOGY

SINDHU SURESH

SINDHU SURESH 69%

HIDA DILEEP

HIDA DILEEP 69%

VUTUKURI BHUVAN CHANDRA

VUTUKURI BHUVAN CHANDRA 69%

SREYAS INSTITUTE OF ENGINEERING & TECHNOLOGY

CHANDRA TARUNESWAR REDDY

CHANDRA TARUNESWAR REDDY 69%

JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY ANANTAPUR COLLEGE OF ENGINEERING

V KUSHWANTI

V KUSHWANTI 69%

PRANITHA CHILLA

PRANITHA CHILLA 69%

CHINMAYRAJ J N

CHINMAYRAJ J N 69%

BAPUJI INSTITUTE OF ENGINEERING & TECHNOLOGY

KANKATI SRUTHA AISHWARYA

KANKATI SRUTHA AISHWARYA 68%

COWSIGAN SP

COWSIGAN SP 68%

KAUSHIKI GHOSE CHOUDHURY

KAUSHIKI GHOSE CHOUDHURY 68%

RCC INSTITUTE OF INFORMATION TECHNOLOGY

PRATHIBA M

PRATHIBA M 68%

N.S.S COLLEGE OF ENGINEERING

NAVYA

DEVIKA SINDHU 68%

Rajagiri School of Engineering & Technology

SABITHA V

SABITHA V 68%

INDHUMATHI P

INDHUMATHI P 68%

MUDUNURI DEVAMSH VARMA

MUDUNURI DEVAMSH VARMA 68%

G SARUTHI

G SARUTHI 68%

SATYANARAYAN JAGANATHAN

SATYANARAYAN JAGANATHAN 68%

SRI CHANDRIKA

SRI CHANDRIKA 68%

PRIYADHARSHINI S

PRIYADHARSHINI S 68%

DEEPIKA T

DEEPIKA T 68%

YAKESH G

YAKESH G 68%

VISHNU PRAJIT V

VISHNU PRAJIT V 68%

PRINCE

Netaji Subash Institute of technology, Bihta

DAMANJOT SINGH

DAMANJOT SINGH 68%

I.K.GUJRAL PUNJAB TECHNICAL UNIVERSITY

ADITYA SRIVASTAVA

ADITYA SRIVASTAVA 68%

BALAJI NAGARAJ MELAGIRI

BALAJI NAGARAJ MELAGIRI 68%

NAGEKAR NAINESH VASANTBHAI

NAGEKAR NAINESH VASANTBHAI 68%

Government Engineering College,Modasa

CHEETARALA SHIVA KARTHIK

CHEETARALA SHIVA KARTHIK 68%

NAVNEETH S

NAVNEETH S 68%

JSS ACADEMY OF TECHNICAL EDUCATION, BENGALURU

HARIHARAN V

HARIHARAN V 68%

PONDICHERRY TECHNOLOGICAL UNIVERSITY

RAMYA S

RAMYA S 68%

SASTRA DEEMED TO BE UNIVERSITY

ARSHIYA KUMARI

ARSHIYA KUMARI 68%

V A BALAKRISHNA JAKKA

V A BALAKRISHNA JAKKA 68%

VNR VIGNANA JYOTHI INSTITUTE OF ENGINEERING &TECHNOLOGY

RITHIKA RAJITH

RITHIKA RAJITH 68%

SAHRDAYA COLLEGE OF ENGINEERING & TECHNOLOGY

ANUSHYA M

ANUSHYA M 68%

THIAGARAJAR COLLEGE OF ENGINEERING

SAKSHI KUSHWAHA

SAKSHI KUSHWAHA 68%

BHAVANI KRISHNA J S

BHAVANI KRISHNA J S 68%

SCHOOL OF ENGINEERING

UNNATI SHARMA

UNNATI SHARMA 68%

SATYAM KUMAR

SATYAM KUMAR 68%

ZEHRA JAFRI

ZEHRA JAFRI 68%

MEERUT INSTITUTE OF ENGINEERING & TECHNOLOGY

HARISH

M RAGHAVI 68%

R ARUNKUMAR

R ARUNKUMAR 68%

LOYOLA INSTITUTE OF TECHNOLOGY

DR R MURUGANANTHAM

DR R MURUGANANTHAM 68%

TKR COLLEGE OF ENGINEERING & TECHNOLOGY

DR SUNITHA G P

DR SUNITHA G P 68%

JAWAHARLAL NEHRU NEW COLLEGE OF ENGINEERING

NAGA SIVUDU KODI

NAGA SIVUDU KODI 68%

ANNAMACHARYA INSTITUTE OF TECHNOLOGY AND SCIENCES AUTONOMOUS,RAJAMPET

NIDHARSHNAA P

NIDHARSHNAA P 68%

HARSHIL SHARMA

HARSHIL SHARMA 68%

Government Engineering College Baran

POLURU KISHORE BABU

POLURU KISHORE BABU 68%

Enrollment Statistics

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Online Free Samples

IoT SmartCity : Internet of Things Assignment

Task: Choose one of the topics given below and submit a research project, which should not exceed 4000 words. The help file is available in the Student Resources Folder on Interact2.

Topics to select from but not limited to:

  • IoT Smart City
  • IoT Mining Industry
  • IoT Health Care
  • IoT in Farming
  • IoT for Independent Living of the Older Generation
  • IoT for Reducing Food Wastage in Australia
  • IoT in Finance Industry and Security Challenges
  • Business Intelligence in IoT
  • Future of the Fog Domain
  • IoT and Data Analytics
  • IoT in Intelligent Transport Systems
  • Big Data challenges in IoT and Cloud
  • Machine Learning for Intelligent Decision Making in IoT
  • Common Currency for IoT
  • Utilising block chain technology in IoT

If you think of any other related topics please talk to your lecturer before deciding.

1. Analyse the Task (Milestone 1: Should be completed by 11 Aug 18)

Analyse what is expected of you. This includes careful reading of the assignment task as specified in the Subject Outline. The executive summary of the research project is to be written as an Abstract. For Analysis:

  • What is the purpose of this report?
  • What is the topic you have chosen for your report? (The topic can be one specified as above, but you can come up with new ideas and topics of your choice in IoT)
  • What is the expected format of the report? (Refer to the format on Interact2 resources: Assignment 3 Help file).
  • Come up with a Problem Statement based on your topic, note it down and discuss it with your lecturer.
  • Write a small executive summary as an abstract

Abstract: In today's world, most of the population lives in cities, due to which IoT Smart city is especially generated in the city. It is spread all over the world as it promises people to provide with various useful technology as well as systems that will give them better services and improve their standard of living. It will put a great impact in the future as it will provide with a better platform for the IT professionals. This Internet of things assignment will discuss the purpose of the report of what is expected from this research. It will introduce the concept of IoT Smart city as of how it will provide the citizen with better technologies and systems which will help them to interact with the people. The main aim of this Internet of Things assignment is to focus on the problems faced by the IoT smart city in building their technologies across the world.

Introduction: This Internet of Things assignment will analyze the importance of IoT Smart city, IoT (Internet of things) and Smart city, it mainly focuses on the concept of IoT in the smart city, the purpose of IoT, what is expected from IoT Smart City as well as the problem faced due to IoT Smart City to the environment.

Analysis: The purpose of this Internet of Things assignment is to cover the entire area of the study and the research design should be convenient to understand. The significant purpose of the research paper is to provide with the outline, brief as well as the basic idea about the topic to the instructor. It also aims to describe the problems or challenges faced.

The topic chosen for this Internet of Things assignment is IoT Smart City, it is an application that enables smart city throughout the world. It provides to integrate the sensors as well as monitoring various devices via a network, especially an internet, in order to provide better services as well as getting better opportunities to interact with the citizens (Latre et al., 2016).

The smart city is known to be the wired, the networked or a ubiquitous city which is grabbing attention across the world that promises of developing the technology for the economic growth of the city as well as its management. But there are various problems as well as challenges to be faced by the smart city, such as it requires smart citizen who ill energetically participate in governance as well as reforms (Monzon, 2015). The very first problem related to this IOT assignment is power, without the wireless power smart city will be seen to be a sci-fi kind of fantasy for the citizens. Another question arises when discussing the problem of the smart city is: What is deserved in a human habitat? This means that we could easily form a dystopia as same as utopia. Problem-based on Re-designing our environment that assures people that if the city is natural, the smart city will be supernatural is also a big challenge for developing smart city (Wiig, 2015). Without overcoming these challenges of IoT Smart City it will always remain a dream for the people as well as for the founders of IoT Smart City.

References Latre, S., Leroux, P., Coenen, T., Braem, B., Ballon, P., & Demeester, P. (2016, September). City of things: An integrated and multi-technology testbed for IoT smart city experiments. In Smart Cities Conference (ISC2), 2016 IEEE International (pp. 1-8). IEEE.

Monzon, A. (2015, May). Smart cities concept and challenges: Bases for the assessment of smart city projects. In Smart Cities and Green ICT Systems (SMARTGREENS), 2015 International Conference on (pp. 1-11). IEEE.

Wiig, A. (2015). IBM's smart city as techno-utopian policy mobility. City, 19(2-3), 258-273.

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Introduction To Internet Of Things | NPTEL | Week 4 Solutions

This set of MCQ(multiple choice questions) focuses on the  Introduction To Internet Of Things NPTEL Week 4 Solutions .

You should practice these questions to improve fundamentals of Internet of Things needed for various interviews (like company interview, campus interview, walk-in interview), entrance exams, placements and other competitive exams. All the questions in this particular section are based on only “ Introduction To Internet Of Things NPTEL Week 4 Solutions “.

Course layout (All week answers link)

Week 0 Week 1 : Introduction to IoT Week 2: Basics of Networking Week 3: Communication Protocols Week 4:  Sensor Networks Week 5:   Interoperability in IoT Week 6: Introduction to Python programming Week 7:   Implementation of IoT with Raspberry Pi (contd), Introduction to SDN, SDN for IoT Week 8:   SDN for IoT (contd), Data Handling and Analytics, Cloud Computing Week 9 :  Cloud Computing(contd), Sensor-Cloud Week 10:  Fog Computing, Smart Cities and Smart Homes Week 11: Connected Vehicles, Smart Grid, Industrial IoT Week 12: Industrial IoT (contd), Case Study: Agriculture, Healthcare, Activity Monitoring

NOTE:  You can check your answer immediately by clicking show answer button. Moreover, this set of “Introduction To Internet Of Things NPTEL Week 4 Solution” contains 15 questions.

Now, start attempting the quiz.

Introduction To Internet Of Things NPTEL Week 4 Solutions

Q1. State whether the following statement is true or false. Statement: Coverage in WSN is defined as the area-of-interest is covered satisfactorily.

a) True b) False

Answer: a) True

Q2. If transmission range >= 2* sensing range,

a) Coverage implies greater coverage b) Coverage implies connectivity c) Both (a) and (b) d) None of these

Answer: b) Coverage implies connectivity

Q3. The two types of reporting in WSN are –

a. Event driven and machine driven b. Event driven and weather driven c. Event driven and on demand d. None of these

Answer: c. Event driven and on demand

Q4. The objective of coverage in WSN is to use a _______________ number of sensors and _______________ the network lifetime.

a. minimum, minimize b. minimum, maximize c. maximum, minimize d. maximum, maximize

Answer: b. minimum, maximize

Q5. Select the correct option. The disadvantages of stationary Wireless Sensor Networks are – Statement-I: Node failure may result in partition of networks. Statement-II: Topology cannot change automatically.

a. Statement-I True, Statement-II False b. Both Statements are False c. Both Statements are True d. None of these

Answer: c. Both Statements are True

Q6. A _________________ in MWSN moves in order to collect data from sensor nodes and goes to the sink and delivers the collected data from different sensor nodes.

a. Drop b. Molecule c. Mule d. None of these

Answer: c. Mule

Q7. ________________ allows distributed sensing carried by humans and the goal is not just to collect data but to allow the common people to assess and share the knowledge.

a. Voluntary sensing b. Compressive sensing c. Dynamic sensing d. Participatory sensing

Answer: d. Participatory sensing

Q8. Which of the following is/are NOT feature/features of UAV networks?

a. Mesh or star networks b. Multi-tasking c. Large coverage area d. None of these

Answer: d. None of these

Q9. Which of the following is NOT a UAV network constraint?

a. Frequent link breakages b. Prone to malfunction c. Very Complex d. None of these

Q10. In _____________________ configuration, UAVs form multiple star topology. One node from each group connects to the ground station.

a. Multi-star b. Ring c. Both (a) and (b) d. None of these

Answer: a. Multi-star

Q11. The full form of FANET is?

a. Flying Ad Hoc Network b. Fast Ad Hoc Network c. Fidelity Ad Hoc Network d. None of these

Answer: a. Flying Ad Hoc Network

Q12. Low-end sensor nodes are those-

a. Whose deployment has high density in order to increase network lifetime and survivability. b. Who perform basic functions such as data aggregation, auto configuration, and power saving. c. Both (a) and (b) d. None of these

Answer: c. Both (a) and (b)

Q13. Which of the following are the components of the M2M ecosystem?

a. Trees b. Ocean c. Device Providers d. Non-service users

Answer: c. Device Providers

Q14. State whether the following statement is true or false Statement: The M2M Device Platform enables access to objects connected to the Internet anywhere any time.

Q15. State whether the following statement is true or false Statement: The M2M Application Platform provides integrated services based on device collected data-sets.

Q1. When an intruder enter into the agricultural field through the boundary (perimeter) of the field, a/an __________ sensor can be used to detect the object and a/an ___________ sensor can be used to sense the distance at which the object is located.

a) PIR, Ultrasonic b) Ultrasonic, PIR c) Humidity, PIR d) None of these

Q2. __________ is defined as, all the nodes are connected in the network, so that sensed data can reach to sink node?

a) Coverage b) Connectivity c) Both a) and b) d) None of these

Q3. The objective of coverage in WSN is

a) To use a minimum number of sensors and maximize the network lifetime b) To use a maximum number of sensors and maximize the network lifetime c) To use a minimum number of sensors and minimize the network lifetime d) To use a maximum number of sensors and minimize the network lifetime

Q4. State True or False Statement-I: If transmission range <=2* sensing range, coverage implies connectivity.

a) Statement-I is True b) Statement-I is False

Q5. A mobile entity that collects the data from sensor nodes goes to the sink, and delivers the collected data from different sensor nodes are called?

a) Data Molecule b) Static Node c) Data Mules d) None of these

Q6. Human-centric Sensing is possible because of?

a) Smartphone and PDAs b) Miniaturization and Proliferation of devices c) Both a) and b) d) None of these

Q7. Which of the following are the roles played by humans in Human-centric Sensing?

a) Sensing Targets b) Sensor Operators c) Data Source d) All of these

Q8. Which of the following is/are NOT goal of Participatory Sensing?

a) To only collect data b) Not just collect data, but allow common people to access data and share knowledge c) To only access data d) Both a) and c)

Q9. The two popular network topologies in UAV networks are

a) Ring b) Mesh and Star c) Bus d) All of these

Q10. Which of the following is NOT an issue in UAV networks?

a) Slow change in network topology b) Malfunctioning of UAVs c) Itermittent link nature d) Relative position of UAV may change

Q11. The scalability in single UAV system as compared to multi-UAV system is?

a) Limited b) High c) Very High d) None of these

Q12. Typical types of mesh networks in UAV networks are

a) Solid Mesh and Hierarchical Mesh b) Plane Mesh and Solid Mesh c) Flat Mesh and Hierarchical Mesh d) None of these

Q13. State True or False Statement-I: SCADA is designed for isolated systems using proprietary solutions, whereas M2M is designed for cross-paltform integration.

a) False b) True

Q14. Which of the following is NOT a feature of M2M?

a) Large number of nodes or devices b) High cost c) Energy efficient d) Small traffic per machine/device

Q15. Which of the following is NOT an M2M node type?

a) Low End Node b) High End Node c) Out End Node d) None of these

Previous Year – Introduction To Internet Of Things NPTEL Week 4 Solutions

Q1. Which of the following UAV topology is self-configuring?

a) Mesh b) Star c) Both mesh and star d) Grid

Answer: a) Mesh

Q2. In WMSNs application, which of the following deployment can provide better sensing and prolong network lifetime?

a) Scalar sensor nodes b) Camera sensor nodes c) Both scalar and camera sensor nodes d) Vector sensor nodes

Answer: c) Both scalar and camera sensor nodes

Q3. In which of the following algorithms only a subset of nodes in the WASN participate in sensing, communication, and computation?

a) Localized b) Distributed c) Centralized d) All of these

Answer: a) Localized

Q4. In general, the target-tracking problem consists of a WSN, whose nodes are strategically or randomly deployed across the sensor field. Is the statement true?

a) Yes b) No

Answer: a) Yes

Q5. In Ad-Hoc FANETs, which of the following set-up can be considered as ground network?

a) Stationary WSNs b) Control stations c) VANETS d) All of these

Answer: d) All of these

Q6. Which of the following components in M2M monitors the status of devices and M2M area networks, and controls them based on their status?

a) M2M User Platform b) M2M Device Platform c) M2M Service Platform d) M2M Access Platform

Answer: b) M2M Device Platform

Q7. In the guided target-tracking problem formulation, a tracker is added to the problem. The tracker follows the trajectory defined by beacon nodes to intercept the target. Which of the following objectives best define this tracking algorithm?

a) to fuse data about the target b) to use the least amount of communication to reach the target c) to reach the target in the shortest possible time d) to increase the network lifetime

Answer: c) to reach the target in the shortest possible time

Q8. In gateway selection algorithm in FANETs, each UAV acquires the information of all UAVs within its _________ hop(s).

a) One b) Two c) More than one d) Can’t be specific

Answer: b) Two

Q9. A crossing is covered if it is in the __________ region of at least one node’s coverage disk.

a) exterior b) interior c) either exterior or interior d) boundary

Answer: b) interior

Q10. There are several major challenges related to target-tracking applications. Which of the following is NOT among those challenges?

a) target recovery b) node non-cooperation c) future-position estimation d) energy management

Answer: b) node non-cooperation

Q11. Which of the following components in M2M manages inquiry?

Answer: a) M2M User Platform

Q12. Which of the following is NOT regarded as one of the major scatters of underwater sound in Underwater Acoustic Sensor Networks?

a) Non-linear internal waves b) Solitons c) Linear internal waves d) None of these

Answer: c) Linear internal waves

Q13. In Optimal Geographical Density Control (OGDC) algorithm, a node __________ if its coverage area is completely covered.

a) wakes up b) starts listening c) sleeps d) backs off

Answer: c) sleeps

Q14. Which of the following elements of target-tracking algorithm can perform data fusion?

a) Active node b) Inactive node c) Beacon node d) Sink node

Answer: d) Sink node

Q15. Which of the following components of Mobile Wireless Sensor Networks (MWSN) moves in order to collect data from sensor nodes?

a) Mobile sensor node b) Data mule c) Mobile sink d) Both data mule and mobile sink

Answer: d) Both data mule and mobile sink

Previous Course – Week 4 Solutions

Q1. Which of the following M2M node types have no IP support?

a) Low-end sensor nodes b) Mid-end sensor nodes c) High-end sensor nodes d) All of the above

Q2. Which of the following is TRUE for wireless sensor networks if transmission range ≥ 2* sensing range?

a) Only coverage b) Only connectivity c) Coverage implies connectivity d) Connectivity implies coverage

Q3. Which of the following structure is usually used in guided formulation of target tracking in sensor networks?

a) Face b) Tree c) Cluster d) All of the above

Q4. Which of the following is NOT a characteristic of UAV networks?

a) Intermittent link nature b) Static network topology c) Dynamic relative position of UAVs d) None of the above

Q5. Which of the following is a challenge in human-centric sensing?

a) Device lifetime b) Participant selection c) Privacy of users d) All of the above

Q6. Which of the following components in M2M Service Platform takes care of App management and App searching?

a) Device b) User c) Application d) Access

Q7. In distributed coverage algorithm, nodes compute their position by communicating with _________________________.

a) Central node b) Sink node c) Neighbors only d) None of the above

Introduction To Internet Of Things NPTEL Week 3 Solutions

Q8. In multi-star UAV network topology, _______ node(s) from each group connects to the ground station.

a) Zero b) One c) More than one d) All

Q9. Electromagnetic communication in nanonetworks takes place in _________ frequency band.

a) GHz b) THz c) Nanometer d) All of the above

Q10. Which of the following is NOT a property of Mobile Ad Hoc Network?

a) Self-Collaborate b) Self-Heal c) Self-Protect d) Self-Optimize

Q11. Which of the following layers seamlessly integrate IP network with M2M area network in a non-IP based M2M network?

a) Application layer b) Transport layer c) Network layer d) Physical layer

Q12. While maintaining sensing coverage in sensor networks, a crossing is covered if it is in the interior region of _____________ one node’s coverage disk.

a) At most b) Only c) At least d) More than

Q13. Which of the following UAV network topology is decentralized?

a) Star b) Infrastructure mesh c) Ad hoc mesh d) None of the above

Q14. Can node failure result in partition of networks in mobile wireless sensor networks?

a) Yes b) No c) Not Applicable

Q15. Which of the following is TRUE for high-end sensor nodes in M2M node types?

a) High density deployment b) Unable to handle multimedia data c) Mobility is essential d) All of the above

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Online Free Samples

IoT SmartCity : Internet of Things Assignment

Task: Choose one of the topics given below and submit a research project, which should not exceed 4000 words. The help file is available in the Student Resources Folder on Interact2.

Topics to select from but not limited to:

  • IoT Smart City
  • IoT Mining Industry
  • IoT Health Care
  • IoT in Farming
  • IoT for Independent Living of the Older Generation
  • IoT for Reducing Food Wastage in Australia
  • IoT in Finance Industry and Security Challenges
  • Business Intelligence in IoT
  • Future of the Fog Domain
  • IoT and Data Analytics
  • IoT in Intelligent Transport Systems
  • Big Data challenges in IoT and Cloud
  • Machine Learning for Intelligent Decision Making in IoT
  • Common Currency for IoT
  • Utilising block chain technology in IoT

If you think of any other related topics please talk to your lecturer before deciding.

1. Analyse the Task (Milestone 1: Should be completed by 11 Aug 18)

Analyse what is expected of you. This includes careful reading of the assignment task as specified in the Subject Outline. The executive summary of the research project is to be written as an Abstract. For Analysis:

  • What is the purpose of this report?
  • What is the topic you have chosen for your report? (The topic can be one specified as above, but you can come up with new ideas and topics of your choice in IoT)
  • What is the expected format of the report? (Refer to the format on Interact2 resources: Assignment 3 Help file).
  • Come up with a Problem Statement based on your topic, note it down and discuss it with your lecturer.
  • Write a small executive summary as an abstract

Abstract: In today's world, most of the population lives in cities, due to which IoT Smart city is especially generated in the city. It is spread all over the world as it promises people to provide with various useful technology as well as systems that will give them better services and improve their standard of living. It will put a great impact in the future as it will provide with a better platform for the IT professionals. This Internet of things assignment will discuss the purpose of the report of what is expected from this research. It will introduce the concept of IoT Smart city as of how it will provide the citizen with better technologies and systems which will help them to interact with the people. The main aim of this Internet of Things assignment is to focus on the problems faced by the IoT smart city in building their technologies across the world.

Introduction: This Internet of Things assignment will analyze the importance of IoT Smart city, IoT (Internet of things) and Smart city, it mainly focuses on the concept of IoT in the smart city, the purpose of IoT, what is expected from IoT Smart City as well as the problem faced due to IoT Smart City to the environment.

Analysis: The purpose of this Internet of Things assignment is to cover the entire area of the study and the research design should be convenient to understand. The significant purpose of the research paper is to provide with the outline, brief as well as the basic idea about the topic to the instructor. It also aims to describe the problems or challenges faced.

The topic chosen for this Internet of Things assignment is IoT Smart City, it is an application that enables smart city throughout the world. It provides to integrate the sensors as well as monitoring various devices via a network, especially an internet, in order to provide better services as well as getting better opportunities to interact with the citizens (Latre et al., 2016).

The smart city is known to be the wired, the networked or a ubiquitous city which is grabbing attention across the world that promises of developing the technology for the economic growth of the city as well as its management. But there are various problems as well as challenges to be faced by the smart city, such as it requires smart citizen who ill energetically participate in governance as well as reforms (Monzon, 2015). The very first problem related to this IOT assignment is power, without the wireless power smart city will be seen to be a sci-fi kind of fantasy for the citizens. Another question arises when discussing the problem of the smart city is: What is deserved in a human habitat? This means that we could easily form a dystopia as same as utopia. Problem-based on Re-designing our environment that assures people that if the city is natural, the smart city will be supernatural is also a big challenge for developing smart city (Wiig, 2015). Without overcoming these challenges of IoT Smart City it will always remain a dream for the people as well as for the founders of IoT Smart City.

References Latre, S., Leroux, P., Coenen, T., Braem, B., Ballon, P., & Demeester, P. (2016, September). City of things: An integrated and multi-technology testbed for IoT smart city experiments. In Smart Cities Conference (ISC2), 2016 IEEE International (pp. 1-8). IEEE.

Monzon, A. (2015, May). Smart cities concept and challenges: Bases for the assessment of smart city projects. In Smart Cities and Green ICT Systems (SMARTGREENS), 2015 International Conference on (pp. 1-11). IEEE.

Wiig, A. (2015). IBM's smart city as techno-utopian policy mobility. City, 19(2-3), 258-273.

CHECK THE PRICE FOR YOUR PROJECT

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