基于非均匀分布双融合节点的WSN数据融合算法

针对无线传感器网络中层次型融合算法的单跳路由造成网络能量消耗不均衡的问题，提出了一种利用非均匀思想在LEACH（low energy adaptive clustering hierarchy）算法基础上进行改进的混合型融合算法．该算法首先利用LEACH进行分簇和融合节点的选择，融合节点主要用于簇内数据的接收和融合处理．然后基于融合节点到基站距离的不同，非均匀的选择出网内的副融合节点，副融合节点主要用于转发网内融合节点发来的数据．仿真结果显示，该算法综合了平面型融合算法和层次型融合算法的优点，既均衡了网络能量的消耗又有利于网络的扩展，并且算法简单、适应性强．

A data fusion algorithm for WSN based on non-uniform distribution double fusion nodes

Considering the unbalance of network energy consumption caused by one-hop communication in hierarchical fusion algorithm of wireless sensor networks （WSN） , this paper presents an improved hybrid fusion algorithm based on LEACH （low energy adaptive clustering hierarchy） by using the non-uniform idea. The algorithm uses LEACH to cluster and select fusion node, which is mainly used for data receiving and processing in the cluster, and then based on the difference of distance from fusion node to base station, non-uniformly picks out assistant fusion nodes in the network, which is mainly responsible for data forwarding from fusion nodes. Simulation results show that the algorithm combines the advantages of the planar fusion algorithm and the hierarchical fusion algorithm. It not only balances the network energy consumption, but also benefits expansion of the network; besides, it is simple and well-adapted.