Stolen Vehicle Tracking using Sensor Networks

Open Access
Jain, Soumya
Graduate Program:
Electrical Engineering
Master of Science
Document Type:
Master Thesis
Date of Defense:
March 17, 2009
Committee Members:
  • Sencun Zhu, Thesis Advisor
  • David Miller, Thesis Advisor
  • sleep scheduling
  • slave sensors
  • sensor network
  • roadside access point
Wireless sensor networks are typically deployed in ubiquitous and distributed computer system settings to ‘sense and send’ information. Recently, there have emerged a significant set of applications which go beyond collection of data, and involve taking context aware and event based collaborative decisions. We present one such system – a Wireless Sensor Network based Stolen Vehicle Tracking System. Anti-theft systems are deployed widely in vehicles today, but have many shortcomings and have not been very effective in reducing theft rates. To address their limitations, a novel system for theft detection was proposed called the “Sensor Network based Vehicle Anti-theft System (SVATS)”. This research work serves as the next part of this system and extends the functionality to be able to track and recover the stolen vehicle. The main challenges addressed here are the development of a new, more dependable theft detection mechanism, design of an intra-vehicle network (in addition to the inter-vehicle network) towards adding more reliability and security, intelligent theft reporting and security primitives for the system. A complete prototype of the system has been built, using MICA2 motes and other hardware representative of the conceptualized system elements. We also carry out an evaluation and performance analysis of each subsystem.