Target localization in camera wireless networks

  • Authors:
  • Ryan Farrell;Roberto Garcia;Dennis Lucarelli;Andreas Terzis;I-Jeng Wang

  • Affiliations:
  • Computer Science Department, University of Maryland, College Park, United States;Computer Science Department, Johns Hopkins University, United States;Applied Physics Lab, Johns Hopkins University, United States;Computer Science Department, Johns Hopkins University, United States;Applied Physics Lab, Johns Hopkins University, United States

  • Venue:
  • Pervasive and Mobile Computing
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

Target localization is an application of wireless sensor networks with wide applicability in homeland security scenarios including surveillance and asset protection. In this paper we present a novel sensor network that localizes with the help of two modalities: cameras and non-imaging sensors. A set of two cameras is initially used to localize the motes of a wireless sensor network. Motes subsequently collaborate to estimate the location of a target using their non-imaging sensors. Our results show that the combination of imaging and non-imaging modalities successfully achieves the dual goal of self- and target-localization. Specifically, we found through simulation and experimental validation that cameras can localize motes deployed in a 100 mx100 m area with a few cm error. Moreover, a network of motes equipped with magnetometers can, once localized, estimate the location of magnetic targets within a few cm.