Adaptive remote signal coding and recovery in wireless sensor networks

Tang, Z. and Glover, I.A. and Monro, D. and He, J. (2004) Adaptive remote signal coding and recovery in wireless sensor networks. In: 12th IEEE International Conference on Networks (ICON 2004), 2004-11-16 - 2004-11-19. (https://doi.org/10.1109/ICON.2004.1409255)

Abstract

Distributed source coding has been viewed as an important and challenging technique for the problem of signal recovery in wireless sensor networks, due to limited network bandwidth, processing capability and power. In this paper, the problem of signal recovery in wireless sensor networks is studied by leverage of side information and distributed source coding. The available bandwidth and packet loss rate are assumed to be changing in the delivery path from remote sensors to sink. We first analyze the impact of quantization, random binning and transmission on the quality of estimated signal. Then we propose an adaptive control scheme to trade off bandwidth on quantization, random binning and transmission under specific network scenarios. Numerical results validate the effectiveness of the proposed adaptive control scheme on minimizing system distortion.

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• Item metadata

  Item type:	Conference or Workshop Item(Paper)
  ID code:	38497
  Dates:	Date Event November 2004 Published
  Subjects:	Technology > Electrical engineering. Electronics Nuclear engineering
  Department:	Faculty of Engineering > Electronic and Electrical Engineering Faculty of Engineering > Naval Architecture, Ocean & Marine Engineering
  Depositing user:	Pure Administrator
  Date deposited:	14 Mar 2012 14:20
  Last modified:	09 Apr 2024 05:03
  URI:	https://strathprints.strath.ac.uk/id/eprint/38497