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This paper considers the Slepian-Wolf coding based energy-minimization rate allocation problem in a wireless sensor network (WSN) and propose a distributed rate allocation algorithm to solve the problem. The proposed distributed algorithm is based on an existing centralized rate allocation algorithm which has a high computational complexity. To reduce the computational complexity of the centralized...
This paper considers the Slepian-Wolf coding based data aggregation problem and the corresponding dependable clustering problem in wireless sensor networks (WSNs). A dependable Slepian-Wolf coding based clustering (D-SWC) algorithm is proposed to provide dependable clustering against cluster-head failures. The proposed D-SWC algorithm attempts to elect a primary cluster head and a backup cluster head...
This paper considers the correlated data routing problem in a wireless sensor network (WSN) and proposes an entropy coding based hybrid routing algorithm to solve the problem. The proposed hybrid routing algorithm takes into account both the correlation structure of the data between different sensor nodes and the path-cost of a node, and combines an entropy coding based routing algorithm and the shortest-path-tree...
This paper considers the Slepian-Wolf coding based energy minimization clustering (SWEMC) problem in a wireless sensor network (WSN), which aims to minimize the amount of data generated within each cluster and the overall energy cost for data transmission in the network. To solve the problem, we propose a Slepian-Wolf coding based energy-efficient clustering (SWEEC) algorithm, which is based on a...
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...
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