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An entropy coding based hybrid routing algorithm for data aggregation in wireless sensor networks

机译:无线传感器网络中基于熵编码的数据混合混合路由算法

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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 (SPT) routing algorithm. Specifically, for a node that is away from the sink, it employs the entropy coding based algorithm to determine the next-hop node, while for a node close to the sink it employs the SPT routing algorithm to determine the next-hop node. Simulation results show that the proposed hybrid routing algorithm can significantly improve the overall transmission cost and the total amount of data transmitted in the network as compared with the SPT routing algorithm.
机译:本文考虑了无线传感器网络(WSN)中的相关数据路由问题,并提出了一种基于熵编码的混合路由算法来解决该问题。提出的混合路由算法既考虑了不同传感器节点之间数据的相关结构,又考虑了节点的路径开销,并结合了基于熵编码的路由算法和最短路径树(SPT)路由算法。具体地,对于远离信宿的节点,其采用基于熵编码的算法来确定下一跳节点,而对于接近信宿的节点,其采用SPT路由算法来确定下一跳节点。仿真结果表明,与SPT路由算法相比,该混合路由算法可以显着提高网络的总体传输成本和数据传输总量。

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