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An improved coverage gap fixing method for heterogenous wireless sensor network based on Voronoi polygons
Alexandria Engineering Journal ( IF 6.2 ) Pub Date : 2021-03-31 , DOI: 10.1016/j.aej.2021.03.007
Xinmiao Lu , Yanwen Su , Qiong Wu , Yuhan Wei , Jiaxu Wang

The traditional fixing method for coverage gap in wireless sensor network (WSN) mainly targets the homogenous networks, in which all nodes have the same detection radius. By this method, the gaps in the network are covered randomly by mobile nodes, leading to low coverage and resource waste. Considering the different detection radii of actual WSN nodes, this paper explores the gap fixing in heterogenous WSNs, and proposes an improved gap fixing method based on fixing priority. Specifically, the gap fixing points were determined and prioritized with the aid of Voronoi polygons, and then fixed by mobile nodes. After that, the nodes with overlapping sensing ranges were removed to reduce the redundancy. Simulation results show that the improved method can effectively enhance the coverage of the entire network.



中文翻译:

基于Voronoi多边形的异构无线传感器网络覆盖间隙固定的改进方法。

无线传感器网络(WSN)中覆盖间隙的传统固定方法主要针对同质网络,其中所有节点的检测半径相同。通过这种方法,网络中的间隙被移动节点随机覆盖,导致覆盖率低和资源浪费。考虑到实际无线传感器网络节点的检测半径不同,本文探讨了异构无线传感器网络中的间隙固定问题,并提出了一种基于固定优先级的改进间隙固定方法。具体而言,借助Voronoi多边形确定间隙固定点并确定优先级,然后由移动节点固定间隙固定点。之后,移除具有重叠感测范围的节点以减少冗余。仿真结果表明,改进后的方法可以有效地增强整个网络的覆盖范围。

更新日期:2021-03-31
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