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In this paper, we study the major problems in applying Slepian-Wolf coding for data aggregation in cluster-based wireless sensor networks (WSNs). We first consider the clustered Slepian-Wolf coding (CSWC) problem, which aims at selecting a set of disjoint potential clusters to cover the whole network such that the global compression gain of Slepian-Wolf coding is maximized, and propose a distributed...
The continuous growth of wireless sensor networks demands new approaches to efficiently manage and service them. We present an approximation solution to the facility location problem for sensor network maintenance based on static sensors and mobile facilities. The main goal is to increase the network lifetime by recharging or redeploying sensors with the help of mobile multi-purpose maintenance facilities...
We consider an energy-efficient data aggregation scheme for sensor networks with mobile access (SENMA), a design that opens the possibility of relieving low-power nodes from energy-consuming networking tasks. Specifically, we provide a novel distributed one-hop clustering algorithm to organize the network into a minimum cost hierarchical architecture (MCHA) for collecting all sensing data from the...
Partially connected heterogeneous wireless sensor networks (hWSNs) can be reconfigured via the utilization of mobile agents that aim in reconnecting the disconnected clusters of nodes. Under the assumption of the knowledge of the nodespsila spatial location and the transmitting power of their uniform radiation pattern, the presented algorithm aims at optimizing the positioning of a limited number...
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