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Adaptive distributed source coding for wireless sensor networks

Tang, Z. and Glover, I.A. and Evans, A. and Monro, D. and He, J. (2006) Adaptive distributed source coding for wireless sensor networks. In: Wireless Conference 2006, 2006-04-02 - 2006-04-05, Athens.

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Abstract

It has been proven in theory that distributed source coding (DSC) can be used to compress correlated signals with or without loss. Recently this coding method has been used for the application of remote signal estimation in wireless sensor networks (WSN), where multiple sensor nodes compress their correlated observations without inter-node communications. Energy and bandwidth are therefore efficiently saved. No practical DSC scheme for WSNs, however, has been reported in the literature. In this paper, we study the problem of remote source estimation in WSN using a random-binning based DSC scheme. We analyze the impact of observation noise, quantization distortion, DSC decoding errors and network packet losses on the quality of the estimated signal. An adaptive control scheme is proposed to adapt the coding and transmission parameters to the network conditions. Simulation results show the proposed scheme both saves bandwidth and improves the quality of the source estimation.

Item type: Conference or Workshop Item (Paper)
ID code: 37154
Keywords: artificial neural networks , adaptive, distributed source coding, wireless sensor networks, Electrical engineering. Electronics Nuclear engineering
Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Department: Faculty of Engineering > Electronic and Electrical Engineering
Faculty of Education > Sport, Culture and The Arts
Faculty of Engineering > Naval Architecture and Marine Engineering
Related URLs:
    Depositing user: Pure Administrator
    Date Deposited: 27 Jan 2012 14:57
    Last modified: 17 Jul 2013 15:24
    URI: http://strathprints.strath.ac.uk/id/eprint/37154

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