Location Tracking for Internet of Things

(6 customer reviews)

This is an AICTE approved Short Term Program

This product is currently out of stock and unavailable.

SKU: Computer Science and Engineering | Start Date: 21-03-2022 | End Date: 26-03-2022 | Time: 10.00 AM-12 PM Categories: ,


This is an AICTE approved Short Term Program

Department: Computer Science and Engineering

About: With the ubiquitous deployment of IoT devices, it is often essential to accurately geo-locate or track such devices in real-time. Accurate localization not only enriches existing location-based services but also opens up the possibility for newer classes of applications and use-cases. What goes under the hood to estimate locations of these IoT devices under various deployment settings and constraints? The objective of the course is to introduce an array of technologies, systems and algorithmic concepts that make up the core of today’s location-enabled services. Theoretical concepts will be supplemented with hands-on tutorials via demonstrations and (optional) assignments.

The following represents a tentative list of topics that we will primarily cover.

Day 1: Motivation and use cases of localization technologies and how it applies to the IoT context. Working of GPS system for outdoor localization.

Day 2: Time of Arrival (ToA). Trilateration/Multilateration technique. ToA estimation – Wireless Ranging, Two-Way Ranging (TWR) protocol. Use case demonstration using Wi-Fi and Ultra-wideband radios.

Day 3: Limitations of ToA. Scaling for more devices. Time Difference of Arrival (TDoA) and Angle of Arrival (AoA) estimation. Brief introduction to anchor-free/relative localization using MDS (multi-dimensional scaling).

Day 4: Localization using radio signal map fingerprinting. Wireless pathloss/signal attenuation. Application of relevant Machine Learning tools to estimate signal maps and predict locations.

Day 5: Inertial sensing. Using inertial measurement units, IMUs (accelerometers, gyroscope, compass) to track user location. Pedestrian Dead Reckoning.

Day 6: Latest trends in localization research, industry standards, up-coming and future use-cases (AR/VR, public safety scenarios, smart homes etc.)

This is a short term course and will have 6 lectures each 1.5 hours. Additionally, there will be two home assignments based on specific lecture topics.

Session dates: 21-03-2022 to 26-03-2022 (6 days)

Session Timings: 10.00 AM – 12 PM

Last date of registration: 18-03-2022


Profile of the Instructor(s)

Name: Prof. Ayon Chakraborty

Profile: Ayon Chakraborty is a faculty member in the Department of Computer Science and Engineering at IIT Madras where he joined as an assistant professor in 2020. Prior to that, he worked as a research scientist in the Mobile Communication & Networking group at NEC Laboratories America is located in Princeton, New Jersey. Ayon is broadly interested in the design of mobile/IoT systems that interact with and interpret (sense) the physical world, spanning both algorithm design as well as system prototyping. He has regularly published in reputed venues for systems and networking including INFOCOM, NSDI, MOBICOM, CONTEXT etc. and was nominated for the best paper award at ACM Sigcomm IMC 2014. At NEC, he contributed to the spin-out effort of an innovative, lab-grown research technology (TrackIO) for infrastructure-free tracking of first responders in GPS-denied environments and holds several patents in that regard. Ayon earned a PhD in computer science from the State University of New York at Stony Brook and a bachelor’s degree in computer science and engineering from Jadavpur University.

Eligibility & Fees

Eligibility requirement of participants: 

  • Intended audience should have a background in one of these disciplines – CSE/ECE/EEE/EIE. 
  • Interested students must have completed B.E./B.Tech/MSc/MCA degree and should be enrolled in a master’s/doctoral program.

Maximum Number of participants that can be accommodated: 

  • Faculty – 100
  • Industry – 50
  • Students – 50


  • Faculty – ₹1000
  • Industry – ₹5000
  • Students – ₹500

“The registration fee will be refunded for the first 30 faculty participants from AICTE colleges once they attend and complete the training program”.

Click here to download the Sponsorship Certificate format.

Click here to submit your sponsorship certificate and other details.


Criteria: Attending all the sessions and submitting the assignments, if any.

Certificate template:

6 reviews for Location Tracking for Internet of Things

  1. karthikeyan SS

    Very Interesting Topics….Thanks to NPTEL Team,

  2. Rekha M G

    Important topics


    Very useful course


    very useful course

  5. Dr. Sagar Shinde (verified owner)

    Very informative and deep in GPS details with IoT

  6. Dr. Sagar Shinde

    Very informative and deep in location tracking details with IoT

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