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EAVD: An Evolutionary Approach Based on Voronoi Diagram for Node Deployment in Wireless Sensor Networks

机译:EAVD:一种基于Voronoi图表的无线传感器网络节点部署的进化方法

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Wireless sensor networks composed of a large number of micro sensors can be an effective tool for gathering data in a variety of environments. Wireless sensor network consist of hundreds or thousands of these sensor nodes that are capable of sensing the environment and sending them to other sensor nodes or to base station through wireless links. The area that can be covered by sensor network is called coverage of the sensor network and is dependent to number of nodes and their locations. In this paper an evolutionary approach based on voronoi diagram is presented. Proposed algorithm divides the field into voronoi cells then tries to deploy additional mobile nodes in each cell to heal coverage holes. In this work the overlap of nodes in the same voronoi cell and neighbor cells is determined. Simulations result show that proposed algorithm has better coverage than previous works in literature.
机译:由大量微传感器组成的无线传感器网络可以是用于在各种环境中收集数据的有效工具。无线传感器网络由数百或数千个这些传感器节点组成,能够通过无线链路传感环境并将其发送到其他传感器节点或基站。可以由传感器网络覆盖的区域称为传感器网络的覆盖范围,并且取决于节点数量及其位置。本文提出了一种基于Voronoi图的进化方法。所提出的算法将该字段划分为Voronoi单元格,然后尝试在每个小区中部署其他移动节点以治愈覆盖孔。在这项工作中,确定相同Voronoi小区和邻居小区中的节点的重叠。仿真结果表明,该算法比以前的文献中的工作更好地覆盖。

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