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An effective construction scheme of probabilistic k-barrier coverage in WSN

机译:WSN中概率k屏障覆盖的有效构建方案

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K-barrier coverage is one of the hot spot in the wireless sensor network. This paper mainly studies construction of probabilistic barrier of minimum node (MNPB) on large-scale network. First, the probabilistic barrier model is created. Second, the interested area is divided into several small areas, target location of node are determined by Hungary algorithm to construct MNPB. Node set with the least sum of moving distances constitute 1 MNPB in each small area. The residual mobile node in the vicinity repair the possible hole of barrier. Third, vertical barrier is built up to connect two horizontal adjacent MNPB. Finally, these MNPBs are merged into probabilistic K-barrier coverage. Simulation results show our method can effectively constitute probabilistic K-barrier coverage. This research enhances the performance of wireless sensor network, has important theoretical and practical significance.
机译:K障碍物覆盖是无线传感器网络中的热点之一。本文主要研究大规模网络上最小节点概率屏障(MNPB)的构建。首先,创建概率障碍模型。其次,将兴趣区域划分为几个小区域,节点的目标位置由匈牙利算法确定,以构造MNPB。移动距离之和最小的节点集在每个小区域中构成1 MNPB。附近的剩余移动节点会修复可能的障碍孔。第三,建立垂直屏障以连接两个水平相邻的MNPB。最后,这些MNPB合并为概率K屏障覆盖。仿真结果表明我们的方法可以有效地构成概率K障碍覆盖率。该研究提高无线传感器网络的性能,具有重要的理论和实践意义。

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