Tang, Z., Glover, Ian, Monro, D.M. and He, J. (2004) Adaptive remote signal coding and recovery in wireless sensor networks. In: Proceedings. 2004 12th IEEE International Conference on Networks (ICON 2004) (IEEE Cat. No.04EX955). IEEE, pp. 655-659. ISBN 9780780387836Metadata only available from this repository.
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.
|Item Type:||Book Chapter|
|Additional Information:||Proceedings of a conference held 16-19th November 2004, Singapore|
|Subjects:||Q Science > Q Science (General)
T Technology > T Technology (General)
|Schools:||School of Computing and Engineering|
|Depositing User:||Sharon Beastall|
|Date Deposited:||28 Mar 2013 11:51|
|Last Modified:||02 Feb 2017 12:19|
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