无线传感器网络中跨层优化的分簇算法

Clustering Algorithm of Cross-layer Optimization in Wireless Sensor Networks

针对无线传感器网络中节点能量受限问题,提出一种跨出优化的无线传感器网络分簇算法,根据跨层分析方法计算得到的簇数目,将网络区域划分为非均匀的虚拟单元格,采用能量有效策略组织成簇,均衡网络能量消耗。仿真实验证明,采用跨层的方法计算的簇数目可以有效降低节点的能量消耗、延长网络的生存周期。

In order to reduce energy consumption in wireless sensor network,a clustering algorithm called Cross-layer Optimal Number of clusters Algorithm （CONA） is proposed.CONA suggests a cross-layer analytical approach to determine the optimal number of clusters and divides network region into uneven virtual grids.The remaining energy of nodes were fully considered in the process happened in cluster-head selection.Simulation results show the cross-layer theoretical analytical approach for calculation of optimal number of cluster heads which can balance network load and extend the network life cycle.