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Proceedings Paper

A statistical approach to distributed edge detection in wireless sensor networks
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Paper Abstract

A statistical approach to distributed edge detection in wireless sensor networks is proposed in this research. Rather than trying to estimate the real edge of a phenomenon, the technique of edge sensor detection is adopted to determine whether a target sensor is located within the edge area or not based on information collected from its neighboring sensors. Due to the nature of wireless sensor networks, it is desirable to have a distributed algorithm that has a low computational complexity and a low data communication cost among sensors. With some reasonable assumptions and the aid of composite hypothesis testing, we propose data fusion as well as decision fusion methods for edge sensor detection to fulfill the aforementioned constraints. Numerical experiments are used to demonstrate the efficiency of the proposed algorithm.

Paper Details

Date Published: 9 August 2004
PDF: 12 pages
Proc. SPIE 5429, Signal Processing, Sensor Fusion, and Target Recognition XIII, (9 August 2004); doi: 10.1117/12.542732
Show Author Affiliations
Pei-Kai Liao, Univ. of Southern California (United States)
Min-Kuan Chang, National Chung-Hsing Univ. (Taiwan)
C.-C. Jay Kuo, Univ. of Southern California (United States)


Published in SPIE Proceedings Vol. 5429:
Signal Processing, Sensor Fusion, and Target Recognition XIII
Ivan Kadar, Editor(s)

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