Energy Efficient Transmission Protocol for Distributed Source Coding in Sensor Networks

Tang Zuoyin, I A Glover, A N Evans, He Jianhua

Research output: Contribution to conferencePaper

5 Citations (Scopus)

Abstract

Distributed source coding (DSC) has recently been considered as an efficient approach to data compression in wireless sensor networks (WSN). Using this coding method multiple sensor nodes compress their correlated observations without inter-node communications. Therefore energy and bandwidth can be efficiently saved. In this paper, we investigate a random-binning based DSC scheme for remote source estimation in WSN and its performance of estimated signal to distortion ratio (SDR). With the introduction of a detailed power consumption model for wireless sensor communications, we quantitatively analyze the overall network energy consumption of the DSC scheme. We further propose a novel energy-aware transmission protocol for the DSC scheme, which flexibly optimizes the DSC performance in terms of either SDR or energy consumption, by adapting the source coding and transmission parameters to the network conditions. Simulations validate the energy efficiency of the proposed adaptive transmission protocol.
Original languageEnglish
Pages3870-3875
Number of pages6
Publication statusPublished - 2007
EventIEEE International Conference on Communications (ICC '07) - Glasgow, Scotland
Duration: 24 Jun 200728 Jun 2007

Conference

ConferenceIEEE International Conference on Communications (ICC '07)
CityGlasgow, Scotland
Period24/06/0728/06/07

Keywords

  • remote source estimation
  • random-binning based DSC scheme
  • distributed source coding
  • data compression
  • protocols
  • energy efficient transmission protocol
  • wireless sensor networks
  • source coding

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