Distributed Event Localization and Tracking with Wireless Sensors

  • Authors:
  • Markus Wälchli;Piotr Skoczylas;Michael Meer;Torsten Braun

  • Affiliations:
  • Institute of Computer Science and Applied Mathematics, University of Bern, Switzerland;School of Computer and Communication Sciences, EPFL, Switzerland;Institute of Computer Science and Applied Mathematics, University of Bern, Switzerland;Institute of Computer Science and Applied Mathematics, University of Bern, Switzerland

  • Venue:
  • WWIC '07 Proceedings of the 5th international conference on Wired/Wireless Internet Communications
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

In this paper we present the distributed event localization and tracking algorithm DELTA that solely depends on light measurements. Based on this information and the positions of the sensors, DELTA is able to track a moving person equipped with a flashlight by dynamically building groups and electing well located nodes as group leaders. Moreover, DELTA supports object localization. The gathered data is sent to a monitoring entity in a fixed network which can apply pattern recognition techniques to determine the legitimacy of the moving person. DELTA enables object tracking with minimal constraints on both sensor hardware and the moving object. We show the feasibility of the algorithm running on the limited hardware of an existing sensor platform.