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A Mutual Algorithm for Optimizing Distributed Source Coding on Wireless Sensor Networks This publication appears in: International Journal of Distributed Sensor Networks Authors: N. Abughalieh, K. Steenhaut, B. Lemmens and A. Nowé Volume: 2012 Pages: 1-9 Publication Date: Dec. 2011
Abstract: Wireless Sensor Networks (WSNs) are composed of
small wireless nodes equipped with sensors, a processor and a
radio communication unit, all normally powered by batteries. For
most WSN applications, the network is expected to function for
several months or years. In the common monitoring application
scenario, adjacent nodes in a WSN often sense spatially correlated
data. Suppressing this correlation can significantly improve the
lifetime of the network. The maximum possible network data
compression can be achieved using Distributed Source Coding
(DSC) techniques when nodes encode at Slepian-Wolf rates.
This paper presents contributions to the lifetime optimization
problem of WSNs in the form of two algorithms: The Updated-
CMAX (UCMAX) power-aware routing algorithm to optimize
the routing tree and the Rate Optimization (RO) algorithm to
optimize the encoding rates of the nodes. The two algorithms
combined offer a solution that maximizes the lifetime of a WSN
measuring spatially correlated data. Simulations show that our
proposed approach may significantly extend the lifetime of multihop
WSNs with nodes that are observing correlated data. External Link.
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