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首页> 外文期刊>International Journal of Distributed Sensor Networks >Energy-Efficient Collaborative Communication for Optimization Cluster Heads Selection Based on Genetic Algorithms in Wireless Sensor Networks
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Energy-Efficient Collaborative Communication for Optimization Cluster Heads Selection Based on Genetic Algorithms in Wireless Sensor Networks

机译：无线传感器网络中基于遗传算法的节能协同通信优化簇头选择

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摘要

To solve the energy constraint problem caused by the neighborhood of the sink, which is burdened with heavy relay traffic via multihop communication and tends to die earlier, a new energy-efficient collaborative communication model is proposed based on genetic algorithms in wireless sensor networks (WSNs). By setting the threshold value for a new generation judgment function, the proposed algorithm would be capable of judging whether the sensor nodes can be a cluster head. Then, the genetic algorithms will filter out some nodes from these temporary cluster heads to get the final cluster heads. Simulation results show that the proposed algorithm can allocate energy to each node of WSNs and postpone the death of the first node. In this manner, the lifetime of WSNs is effectively prolonged.
机译：为了解决由汇区附近引起的能量约束问题，汇聚区附近由于多跳通信而负担沉重的中继流量，并且趋于早死，基于无线传感器网络（WSNs）中的遗传算法，提出了一种新的节能协作模型。 ）。通过为新一代判断函数设置阈值，所提出的算法将能够判断传感器节点是否可以是簇头。然后，遗传算法将从这些临时簇头中筛选出一些节点，以获得最终簇头。仿真结果表明，该算法可以为无线传感器网络的每个节点分配能量，并推迟第一个节点的死亡。这样，有效地延长了无线传感器网络的寿命。

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