On collaborative tracking of a target group using binary proximity sensors

Donglei Cao, Beihong Jin, Sajal K. Das, Jiannong Cao

Research output: Journal article publicationJournal articleAcademic researchpeer-review

16 Citations (Scopus)

Abstract

In order to track multiple targets in a wireless sensor network, existing work has mostly focused on tracking the trajectories of each individual target that can be identified. However, such algorithms are often ineffective to handle a large number of targets-identifying each of them is too hard due to the fact that the targets usually move together and their locations may also be close to each other. This paper investigates the problem of tracking a group of targets when their motions are correlated. Specifically, we propose a family of algorithms for collaborative tracking with the help of binary proximity sensors. More specifically, our contributions include a fault-tolerant target group detection algorithm, two target group localization algorithms, and dynamic reporter node selection and redeployment control algorithms. Furthermore, we explore the fundamental limit on the accuracy of localizing a target group.
Original languageEnglish
Pages (from-to)825-838
Number of pages14
JournalJournal of Parallel and Distributed Computing
Volume70
Issue number8
DOIs
Publication statusPublished - 1 Jan 2010

Keywords

  • Localization error analysis
  • Multi-sensor collaboration
  • Target group tracking
  • Wireless sensor network

ASJC Scopus subject areas

  • Software
  • Theoretical Computer Science
  • Hardware and Architecture
  • Computer Networks and Communications
  • Artificial Intelligence

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