Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/33253
Title: On collaborative tracking of a target group using binary proximity sensors
Authors: Cao, D
Jin, B
Das, SK
Cao, J 
Keywords: Localization error analysis
Multi-sensor collaboration
Target group tracking
Wireless sensor network
Issue Date: 2010
Publisher: Academic Press
Source: Journal of parallel and distributed computing, 2010, v. 70, no. 8, p. 825-838 How to cite?
Journal: Journal of parallel and distributed computing 
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.
URI: http://hdl.handle.net/10397/33253
ISSN: 0743-7315
DOI: 10.1016/j.jpdc.2010.02.001
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