无线传感网络通信节点优化选择算法仿真

摘要

Study wireless sensor node selection optimization. The paper proposed an optimizing and selection algorithm for wireless sensor network communication nodes. In the LEACH algorithm, the Naive Bayesian decision -making factors is added. By Bayesian statistics, effective classification of node constraint energy is carried out to ensure that the cluster head nodes are selected in the optimal nodes and to avoid that the edge nodes are involved in the cluster head selection. Simulation results show that the proposed algorithm can achieve balanced energy consumption of the network, and is conducive to the selection of the optimal nodes, thus extending the life of the network.%研究无线传感器节点优化选择问题.传统LEACH分簇算法中,节点选择的随机性很大,没有很好的参考节点中的多个属性,通信的簇头分布也无规律,造成能量消耗分摊到所有的节点上,一旦选择边沿节点作为簇头,一些节点必须经过长距离的路由转发才能到达簇头,造成通信效率较低.为解决上述问题,提出了一种无线传感网络通信节点优化选择算法.在传统的LEACH算法中,加入朴素贝叶斯决策因素,通过贝叶斯统计,对节点的约束能量进行有效的分类决策,保证在最优节点中选择簇头节点,避免边缘节点参与簇头的选择,仿真结果表明,提出的优化算法使网络的能耗达到了均衡,有利于最优节点的选择,从而延长网络的寿命.