基于改进能量分区控制传感网络通信优化仿真

Based on the Optimization of the Energy Control Sensor Network Communication Simulation

当前无线传感网络中的节点分布可能存在极不均匀现象,造成节点能量消耗不集中,远离Sink节点的簇头能耗较大,破坏传感网络覆盖拓扑结构,导致网络的能量不均衡现象,通信受阻。为解决上述问题,提出了一种基于模糊c均值节点能量分区控制算法。利用混沌序列的均匀遍历特性和差分进化算法的高效全局搜索能力,对传感网络内的节点能量属性进行分类搜索,利用Logistics混沌映射对头节点进行优化分区操作,把混沌扰动量引入到节点能量分区当中,完成最优能量节点的选择,优化通信过程。仿真结果证明,算法对无线传感网络最优节点的聚类性能效果提高明显,通信效率提高25%以上。具有很好的实际应用性能和效果。

The current wireless sensor nodes in a network of distribution may be uneven phenomenon,cause the node energy consumption,large energy consumption of cluster heads away from the Sink node,destroy the sensor network topology structure.Causes the network energy imbalance phenomenon,communication is blocked.A power control algorithm based on fuzzy c-means node.Using uniform traversal characteristic of the chaotic sequence and efficient global searching ability of differential evolution algorithm,the attributes of the energy of sensor nodes within the network search,using chaos mapping Logistics to rival node optimization search,the chaos disturbance quantity is introduced in the evolution of population,to complete the optimal energy node selection.Simulation experiments show that the optimal algorithm of wireless sensor network node clustering performance effects increase obviously,improve communication efficiency by more than 25％.Have very good performance and practical application effect.