Source and channel coding for homogeneous sensor networks with partial cooperation

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Abstract

A sensor networks in which two nodes communicate a remote measurement to an access point is investigated (CEO problem). The focus is on assessing the performance advantages of cooperative encoding strategies as enabled by out-of-band and finite-capacity communication links between the sensors. The analysis assumes Gaussian source and observation noises, a quadratic (MSE) distortion metric and homogeneous sensors. With rate-constrained links between each sensor and the access point, an achievable rate-distortion trade-off is derived that reduces to known rate-distortion characterizations in the cases without and with perfect cooperation. This result is then extended to a Gaussian multiple access channel scenario by deriving achievable distortions with separate or joint source-channel coding. It is concluded that, for both scenarios, even modest values of the capacity of the inter-sensor links enable the optimal performance with full sensor cooperation to be approached.

Original languageEnglish (US)
Article number4801455
Pages (from-to)1113-1117
Number of pages5
JournalIEEE Transactions on Wireless Communications
Volume8
Issue number3
DOIs
StatePublished - Mar 1 2009

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Keywords

  • CEO problem
  • Cooperative transmission
  • Joint source-channel coding
  • Wireless sensor networks

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