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Proceedings Paper

Bio-inspired WSN architecture: event detection and loacalization in a fault tolerant WSN
Author(s): Yosef Alayev; Thyagaraju Damarla
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Paper Abstract

One can think of human body as a sensory network. In particular, skin has several neurons that provide the sense of touch with different sensitivities, and neurons for communicating the sensory signals to the brain. Even though skin might occasionally experience some lacerations, it performs remarkably well (fault tolerant) with the failure of some sensors. One of the challenges in collaborative wireless sensor networks (WSN) is fault tolerant detection and localization of targets. In this paper we present a biologically inspired architecture model for WSN. Diagnosis of sensors in WSN model presented here is derived from the concept of the immune system. We present an architecture for WSN for detection and localization of multiple targets inspired by human nervous system. We show that the advantages of such bio-inspired networks are reduced data for communication, self-diagnosis to detect faulty sensors in real-time and the ability to localize events. We present the results of our algorithms on simulation data.

Paper Details

Date Published: 2 May 2009
PDF: 12 pages
Proc. SPIE 7349, Wireless Sensing and Processing IV, 73490H (2 May 2009); doi: 10.1117/12.818773
Show Author Affiliations
Yosef Alayev, CUNY (United States)
Thyagaraju Damarla, Army Research Lab. (United States)


Published in SPIE Proceedings Vol. 7349:
Wireless Sensing and Processing IV
Sohail A. Dianat; Michael D. Zoltowski, Editor(s)

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