Exploiting partial cooperation for source and channel coding in sensor networks

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

A network with two sensors communicating a remote measurement to a common access point (AP) is investigated. The sensors are connected via out-of-band and finite-capacity communication links, e.g., thanks to an orthogonal radio interface, thus enabling partial cooperation. Focusing on a Gaussian model for source and observation noise and a quadratic (MSE) distortion metric, both the source coding problem (corresponding to error-free and orthogonal links to the AP), also known as the "CEO problem", and the joint source-channel coding problem over a Gaussian multiple access channel to the AP are considered. In the first case, an achievable rate-distortion tradeoff is derived that generalizes known results for the CEO problem in the absence of cooperation between the sensors. For the latter case, achievable distortions are derived with separate or joint source-channel coding. Optimality of the proposed schemes is established asymptotically with the capacity of the inter-sensor links. Moreover, it is concluded that, for both scenarios, even modest values of such capacity enable the optimal performance with full cooperation to be approached.

Original languageEnglish (US)
Title of host publication2008 IEEE Global Telecommunications Conference, GLOBECOM 2008
Pages1027-1031
Number of pages5
DOIs
StatePublished - 2008
Event2008 IEEE Global Telecommunications Conference, GLOBECOM 2008 - New Orleans, LA, United States
Duration: Nov 30 2008Dec 4 2008

Publication series

NameGLOBECOM - IEEE Global Telecommunications Conference

Other

Other2008 IEEE Global Telecommunications Conference, GLOBECOM 2008
CountryUnited States
CityNew Orleans, LA
Period11/30/0812/4/08

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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