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首页> 外文期刊>Eurasip Journal on Wireless Communications and Networking >Cluster tree topology construction method based on PSO algorithm to prolong the lifetime of ZigBee wireless sensor networks
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Cluster tree topology construction method based on PSO algorithm to prolong the lifetime of ZigBee wireless sensor networks

机译：基于PSO算法延长ZigBee无线传感器网络寿命的群集树拓扑结构方法

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Abstract For wireless sensor networks (WSNs) based on ZigBee technology, the network topology plays an important role for improving the energy efficiency and the network lifetime. An appropriate construction method of network topology should be designed for saving the energy of the battery in each network node so as to prolong the lifetime of ZigBee WSNs. In this paper, a novel cluster tree topology construction method based on particle swarm optimization (PSO) algorithm is proposed. In order to transform the network topology construction problem into an energy consumption optimization problem, an evaluation function reflecting the network energy consumption is designed, and the network topology is mapped into a particle population individual suitable for the PSO algorithm. In order to prolong the network lifetime as long as possible, two network topology reconstruction methods with the PSO algorithm based on fixed and variable energy thresholds are further proposed, respectively. The simulation results show that the proposed methods can prolong the lifetime of ZigBee WSNs effectively.
机译：摘要对于基于ZigBee技术的无线传感器网络（WSNS），网络拓扑在提高能源效率和网络寿命中起着重要作用。适当的网络拓扑结构方法应设计用于节省每个网络节点中电池的能量，以便延长ZigBee WSN的寿命。本文提出了一种基于粒子群优化（PSO）算法的新型集群树拓扑结构方法。为了将网络拓扑结构问题转换为能量消耗优化问题，设计了反映网络能耗的评估函数，网络拓扑映射到适合于PSO算法的粒子群体。为了延长网络寿命，只要延长具有基于固定和可变能量阈值的PSO算法的两个网络拓扑重建方法。仿真结果表明，该方法可以有效地延长ZigBee WSN的寿命。

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