一种基于遗传算法的无线传感器网络多跳路由方案

M. Benmahdi, M. Lehsaini
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引用次数: 6

摘要

在无线传感器网络(wsn)中,能源效率是一个非常具有挑战性的问题,因为这些网络通常由大量能量受限的传感器组成,这些传感器有望长时间自主运行,并且更换这些传感器耗尽的电池可能成本过高,甚至在恶劣环境中是不可能的。本文提出了一种利用遗传算法和k -均值方法延长无线传感器网络生存期的路由协议。我们使用k-means方法来创建簇,其中簇头是根据距离,剩余能量和作为簇头(CH)的节点状态的出现来选择的。此外,我们使用遗传算法方法建立从源节点到基站的ch - ch路径。在集群中所有成员都死亡的情况下执行集群过程,当节点状态发生变化(即成员节点变为CH)时触发路径构建过程。仿真结果表明,与其他路由协议相比,我们的方案在网络生命周期和能耗方面提供了更好的性能。
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A GA-based Multihop Routing Scheme using K-Means Clustering approach for Wireless Sensor Networks
Energy efficiency is a very challenging issue in wire-less sensor networks (WSNs) since these networks are generally composed of a large number of energy-constrained sensors which are expected to run autonomously for long times and it may be cost-prohibitive to replace exhausted batteries of these sensors or even impossible in harsh environments. In this paper, we propose a novel routing protocol using genetic algorithm approach and K-means method to prolong network lifetime in WSNs. We involve k-means method to create clusters wherein cluster-heads are elected based on distance, residual energy and the occurrence of nodes state as cluster-head (CH). Moreover, we use genetic algorithm approach to establish CH-to-CH paths from a source node to the base station. The clustering process is performed if all members of a cluster are dead and the path constructing process will be triggered if a node changes status i.e. a member node becomes a CH. Simulation results demonstrate that our proposal provides better performance in terms of network lifetime and energy consumption compared to other routing protocols.
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