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