基于能量异构网络环境下的WSN优化成簇算法

在能量异构无线传感器网络中，节点的初始能量在一定的范围内随机分布，负载均衡和降低能耗是传感器网络成簇算法的一个重要挑战．提出了适用于能量异构网络环境下的传感器网络生存时间优化成簇算法SNLOC（Sensor Network Lifetime Optimization Clustering Algorithm），该算法通过构造基于节点剩余能量的簇首选择机制和基于综合代价函数的簇域划分机制，在有效保证节点能量损耗公平性的同时逐渐降低网络节点间的能量差异，很好地延长了网络生存时间．模拟实验结果显示，在能量显著差异的网络环境中，SNLOC可以更好地实现负载均衡，极大地提高网络的生存时间．

An Optimized Clustering Algorithm for Energy Heterogeneous Wireless Sensor Networks

In heterogeneous wireless sensor networks,the initial energy of nodes are randomly distributed in a certain range,load balancing and energy efficiency are the significant challenges of clustering algorithm for energy heterogeneous networks.In this paper,a new clustering algorithm SNLOC(Sensor Network Lifetime Optimization Clustering Algorithm) for energy heterogeneous sensor networks is proposed.In SNLOC,the cluster-heads are elected according to the residual energy of nodes in the network and the clusters ...