基于六边形的wsn中传感器节点的有效部署和簇头的排列

Chung-Shuo Fan
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引用次数: 0

摘要

无线传感器网络由具有感知、计算和无线通信能力的传感器节点组成。设计一个连接良好的WSN的主要挑战之一是传感领域的覆盖范围,这取决于各种因素(如传感模型、网络拓扑和部署策略)。在无线传感器网络中,通常有两种部署方法:随机部署和确定性部署。传感器节点的随机部署会导致无线传感器网络的流量模式不均衡。也就是说,聚集点周围的簇头(CHs)比远离聚集点的簇头具有更大的负载。因此,靠近汇的CHs更早地耗尽能量。为了克服这个问题,我们首次提出了一种在六边形wsn中有效部署传感器节点和簇头排列(称为“EACH”)的方法。仿真结果验证了我们的理论分析,表明EACH方案获得了满意的覆盖率,显著平衡了SNs之间的能量消耗,延长了网络寿命。该方法还可以用于进一步分析和比较确定性部署策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EACH: Efficient Deployment of Sensor Nodes and Arrangement of Cluster Heads in Hexagon-based WSNs
A wireless sensor network (WSN) consists of sensor nodes (SNs) with sensing, computation and wireless communication capabilities. One of the major challenges in designing a well-connected WSN is the coverage of the sensing field, which are depends on various factors (e.g., the sensing model, network topology, and deployment strategy). There are, in general, two types of deployment methods in WSNs, which are random deployment and deterministic deployment. Random deployment of the sensor nodes can cause unbalanced traffic pattern in WSNs. That is, cluster heads (CHs) around the sink have larger load than those farther away from the sink. Hence, CHs close to the sink exhaust their energy earlier. To overcome this problem, we, for the first time, propose an Efficient deployment of sensor nodes and Arrangement of Cluster Heads in hexagon-based WSNs (called "EACH"). Simulation results validate our theoretical analysis and show that the EACH scheme achieves satisfactory coverage ratio, significantly balances the energy consumption among SNs, and extends network lifetime. The methodology can also be exploited to further analyze and compare deterministic deployment strategies.
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