Bio-inspired WSN architecture: event detection and loacalization in a fault tolerant WSN

Yosef Alayev; Thyagaraju Damarla

doi:10.1117/12.818773

1 May 2009 Bio-inspired WSN architecture: event detection and loacalization in a fault tolerant WSN

Yosef Alayev, Thyagaraju Damarla

Proceedings Volume 7349, Wireless Sensing and Processing IV; 73490H (2009) https://doi.org/10.1117/12.818773
Event: SPIE Defense, Security, and Sensing, 2009, Orlando, Florida, United States

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.

Citation Download Citation

Yosef Alayev and Thyagaraju Damarla "Bio-inspired WSN architecture: event detection and loacalization in a fault tolerant WSN", Proc. SPIE 7349, Wireless Sensing and Processing IV, 73490H (1 May 2009); https://doi.org/10.1117/12.818773

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