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A distributed heuristic solution to the target identifiability problem in directional sensor networks

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Tan, Wilson M. and Jarvis, Stephen A. (2015) A distributed heuristic solution to the target identifiability problem in directional sensor networks. In: 2015 International Conference on Computing, Networking and Communications (ICNC), Garden Grove, CA, 16-19 Feb 2015 pp. 176-182. doi:10.1109/ICCNC.2015.7069337

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Official URL: http://dx.doi.org/10.1109/ICCNC.2015.7069337

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Abstract

Existing algorithms for orienting sensors in directional sensor networks have primarily concerned themselves with the problem of maximizing the number of covered targets, assuming that target identification as a non-issue. Such an assumption however, does not hold true in all situations. In this paper, a distributed heuristic algorithm for choosing active sensors and orienting them with the goal of balancing coverage and identifiability is presented. The performance of the algorithm is verified via simulations, and shown through simulations to confer increased target identifiability compared to algorithms originally designed to simply maximize the number of targets covered.

Item Type: Conference Item (Paper)
Divisions: Faculty of Science > Computer Science
Publisher: IEEE
Book Title: 2015 International Conference on Computing, Networking and Communications (ICNC)
Official Date: 2015
Dates:
DateEvent
2015Published
Page Range: pp. 176-182
DOI: 10.1109/ICCNC.2015.7069337
Status: Peer Reviewed
Publication Status: Published
Conference Paper Type: Paper
Title of Event: 2015 International Conference on Computing, Networking and Communications (ICNC)
Type of Event: Conference
Location of Event: Garden Grove, CA
Date(s) of Event: 16-19 Feb 2015

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