PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Cooperative Data Censoring for Energy-Efficient Communications in Sensor Networks
Jesús Fernandez-Bes, Rocío Arroyo-Valles and Jesus Cid-Sueiro
In: 2011 IEEE Int. Workshop on Machine Learning for Signal Processing (MLSP), 18-21 Sep 2011, Beijing, China.

Abstract

Signal processing algorithms in Wireless Sensor Networks claim for energy efficiency because of node energy scarcity. Tailored to this scenario, in this paper we develop energy-efficient cooperative strategies for selective communications. Cooperation among nodes is exploited in order to optimize energy consumption while guaranteeing good overall performance. The analysis of representative scenarios reveals that cooperative selective nodes yield a good performance in both network lifetime and quality of the transmitted information under different network conditions.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Theory & Algorithms
ID Code:8645
Deposited By:Jesus Cid-Sueiro
Deposited On:17 February 2012