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降低网络能耗、延长网络生存时间是无线传感器网络设计的重要目标.在分析现有主要成簇算法的基础上,提出一种基于能量密度的无线传感器网络能量预测成簇算法EPCBD(energy prediction clustering algorithm based on energy density).算法中,节点根据其通信范围内的能量密度与网络平均能量密度之比确定自己成为簇头节点的概率.为节省每轮成簇初始阶段节点进行广播所消耗的能量,建立了节点消耗能量的预测机制.仿真实验结果表明,与现有主要成簇算法相比,新的成簇算法拥有更长的网络生存周期和更优的网络监控质量.
Reduce the network energy consumption and extend the network lifetime is an important goal of wireless sensor network design.Based on the analysis of the existing main clustering algorithm, this paper proposes an energy prediction clustering algorithm based on the energy density of wireless sensor networks EPCBD (energy prediction clustering algorithm based on energy density. In the algorithm, the node determines its own probability of becoming a cluster head node according to the ratio of the energy density in the communication range to the average energy density of the network. In order to save the energy consumed by node broadcasting in each round of clustering , A prediction mechanism of node energy consumption is established.The simulation results show that the new clustering algorithm has longer network lifetime and better network monitoring quality than the existing main clustering algorithms.