On distributed self fault diagnosis for wireless multimedia sensor networks

This paper presents a distributed self fault diagnosis scheme for wireless multimedia sensor networks (WMSN). The sensor node makes decision about whether or not to discard its own sensor reading by using proposed sensor node architecture. Fault diagnosis is achieved by disseminating decision made at each node. The proposed scheme considers the channel impairment, where the channel is modeled as two state Markov chain. A low memory energy efficient image compression scheme [13] and Reed-Solomon coding for forward error correction is used. Analytical and simulation results show the robustness of the scheme. Both hard and soft fault situation is considered. This work also investigates the energy consumed in diagnosing a fault event.

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