Bio-inspired WSN architecture: event detection and loacalization in a fault tolerant WSN
Proceedings of SPIE(2009)
摘要
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.
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关键词
sensor networks,sensors,algorithms,skin,nervous system,biomimetics,medical diagnostics,networks
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