NPTEL Internet Of Things Week 4 Assignment 4 Answer

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NPTEL Internet Of Things Week 4

NPTEL Internet Of Things Week 4 Assignment 4 Answer 2022 :-


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

  • Mesh
  • Star
  • Both mesh and star
  • Grid

Q.2. In WMSNs application, which of the following deployment can provide better sensing and prolong network lifetime?

  • Scalar sensor nodes
  • Camera sensor nodes
  • Both scalar and camera sensor nodes
  • Vector sensor nodes

Q.3. In which of the following algorithms only a subset of nodes in the WASN participate in sensing, communication, and computation?

  • Localized
  • Distributed
  • Centralized
  • All of these

Q.4. 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?

  • Yes
  • No

Q.5. In Ad-Hoc FANETs, which of the following set-up can be considered as ground network?

  • Stationary WSNs
  • Control stations
  • All of these

NPTEL All Weeks Assignment Solution: Click Here

Q.6. Which of the following components in M2M monitors the status of devices and M2M area networks, and controls them based on their status?

  • M2M User Platform
  • M2M Device Platform
  • M2M Service Platform
  • M2M Access Platform

Q.7. 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?

  • to fuse data about the target
  • to use the least amount of communication to reach the target
  • to reach the target in the shortest possible time
  • to increase the network lifetime

Q.8. In gateway selection algorithm in FANETs, each UAV acquires the information of all UAVs within its hop(s).

  • One
  • two
  • more than one
  • Can’t be specific

Q.9. A crossing is covered if it is in the ——- region of at least one node’s coverage disk.

  • exterior
  • interior
  • either exterior or interior
  • boundary

Q.10. There are several major challenges related to target-tracking applications. Which of the following is NOT among those challenges?

  • target recovery
  • node non-cooperation
  • future-position estimation
  • energy management

Q.11. Which of the following components in M2M manages inquiry?

  • M2M User Platform
  • M2M Device Platform
  • M2M Service Platform
  • M2M Access Platform

Q.12. Which of the following is NOT regarded as one of the major scatters of underwater sound in Underwater Acoustic Sensor Networks?

  • Non-linear internal waves
  • Solitons
  • Linear internal waves
  • None of these

Q.13. In Optimal Geographical Density Control (OGDC) algorithm, a node if its coverage area is completely covered.

  • wakes up
  • starts listening
  • sleeps
  • backs off

Q.14. Which of the following elements of target-tracking algorithm can perform data fusion?

  • Active node
  • Inactive node
  • Beacon node
  • Sink node

Q.15. Which of the following components ofMobile Wireless Sensor Networks (MWSN) moves in order to collect data from sensor nodes?

  • Mobile sensor node
  • Data mule
  • Mobile sink
  • Both data mule and mobile sink

This answer is provided by us only for discussion purpose if any answer will be getting wrong don’t blame us. If any doubt or suggestions regarding any question kindly comment. The solution is provided by Chase2learn. This tutorial is only for Discussion and Learning purpose.


About NPTEL Internet Of Things Course: 

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.



The course structure and content covers, over a period of 12 weeks:

  • Week 1: Introduction to IoT: Part I, Part II, Sensing, Actuation, Basics of Networking: Part-I
  • Week 2: Basics of Networking: Part-II, Part III, Part IV, Communication Protocols: Part I, Part II
  • Week 3: Communication Protocols: Part III, Part IV, Part V, Sensor Networks: Part I, Part II
  • Week 4: Sensor Networks: Part III, Part IV, Part V, Part VI, Machine-to-Machine Communications
  • Week 5: Interoperability in IoT, Introduction to Arduino Programming: Part I, Part II, Integration of Sensors and Actuators with Arduino: Part I, Part II
  • Week 6: Introduction to Python programming, Introduction to Raspberry Pi, Implementation of IoT with Raspberry Pi
  • 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

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