一种适用于密集传感器网络中的DV-Hop改进算法

An Improved DV-Hop Algorithm for Intensive Wireless Sensor Network

提出一种基于Cluster管理的应用于密集网络的改进的DV-Hop算法CSDVH.通过实验数据的分析,相比较传统的DV-Hop算法和改进算法,在密集网络中,CSDVH算法通信代价很小O(3n)、误差较小;在稀疏网络中,CSDVH算法定位的精确度较高,比DV-Hop算法降低了10%.创新的提出了减小无线传感器网络定位能量消耗的方法并把CSDVH算法应用到移动的传感器网络中.

This paper proposes a new improved DV-Hop algorithm, CSDVH （Cluster for Scalable DV-Hop） Cluster management and applicable in large-scale Wireless Sensor Network （WSN）. Through the analysis of experimental data, compared to DV-Hop and improved DV-Hop algorithm, In the dense network, CSDVH has less communication cost algorithm O （3n）, higher accuracy. In the sparsity network, the accuracy of CSDVH algorithm has increased 10% than DV-Hop algorithm. Moreover, in theory, the paper proposes two innovation ideas, which are clusters to save energy and CSDVH algorithm can be applied to mobile sensor network.