Probabilistic detection of mobile targets in heterogeneous sensor networks

Loukas Lazos, Radha Poovendran, James A. Ritcey

Research output: Chapter in Book/Report/Conference proceedingConference contribution

66 Scopus citations

Abstract

Target detection and field surveillance are among the most prominent applications of Sensor Networks (SN). The quality of detection achieved by a SN can be quantified by evaluating the probability of detecting a mobile target crossing a Field of Interest (FoI). In this paper, we analytically evaluate the detection probability of mobile targets when N sensors are stochastically deployed to monitor a Fol. We map the target detection problem to a line-set intersection problem and derive analytical formulas using tools from Integral Geometry and Geometric Probability. We show that the detection probability depends on the length of the perimeters of the sensing areas of the sensors and not their shape. Hence, compared to prior work, our formulation allows us to consider a heterogeneous sensing model, where each sensor can have an arbitrary sensing area. We also evaluate the mean free path until a target is first detected.

Original languageEnglish (US)
Title of host publicationIPSN 2007
Subtitle of host publicationProceedings of the Sixth International Symposium on Information Processing in Sensor Networks
Pages519-528
Number of pages10
DOIs
StatePublished - Oct 22 2007
Externally publishedYes
EventIPSN 2007: 6th International Symposium on Information Processing in Sensor Networks - Cambridge, MA, United States
Duration: Apr 25 2007Apr 27 2007

Publication series

NameIPSN 2007: Proceedings of the Sixth International Symposium on Information Processing in Sensor Networks

Other

OtherIPSN 2007: 6th International Symposium on Information Processing in Sensor Networks
CountryUnited States
CityCambridge, MA
Period4/25/074/27/07

Keywords

  • Heterogeneous sensor networks
  • Target detection
  • Tracking

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing
  • Electrical and Electronic Engineering

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  • Cite this

    Lazos, L., Poovendran, R., & Ritcey, J. A. (2007). Probabilistic detection of mobile targets in heterogeneous sensor networks. In IPSN 2007: Proceedings of the Sixth International Symposium on Information Processing in Sensor Networks (pp. 519-528). (IPSN 2007: Proceedings of the Sixth International Symposium on Information Processing in Sensor Networks). https://doi.org/10.1145/1236360.1236426