Please mention AICTE STE in the email subject line while writing to the course coordinator at ayon@cse.iitm.ac.in.
AICTE QIP Short Term Course
Location Tracking for Internet of Things
A compact six-day course on localization technologies for IoT systems, moving from GPS and ranging fundamentals to fingerprinting, inertial sensing, and emerging location-enabled applications.
Course Lecture Playlist
All six lecture sessions are available on the playlist, covering the full arc from GPS and wireless ranging through machine-learning fingerprinting, inertial sensing, and emerging IoT location applications.
Registration and Documents
Course Contents
Day 1 Motivation and GPS Click to expand
- Motivation and use cases of localization technologies and how they apply to IoT systems.
- Working of GPS for outdoor localization, satellite geometry, and GNSS fundamentals.
Day 2 Range-Based Localization Click to expand
- Time of Arrival (ToA), trilateration and multilateration.
- Wireless ranging and Two-Way Ranging using WiFi and UWB examples.
Day 3 TDoA, AoA, and Anchor-Free Methods Click to expand
- Limits of ToA and scaling to more devices.
- Time Difference of Arrival (TDoA) and Angle of Arrival (AoA).
- Anchor-free localization using Multidimensional Scaling (MDS).
Day 4 Fingerprinting and Machine Learning Click to expand
- Fingerprinting-based localization, wireless pathloss and attenuation models.
- Machine learning for signal-map creation and location prediction.
Day 5 Inertial Sensing and Dead Reckoning Click to expand
- Inertial sensing using IMUs: accelerometers, gyroscopes, and compasses.
- Pedestrian dead reckoning and sensor-fusion basics.
Day 6 Trends and Future Applications Click to expand
- Recent research trends and emerging industry standards.
- Future applications: AR/VR, public safety, and smart homes.