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A homology-based coverage hole detection algorithm in wireless sensor networks

机译:无线传感器网络中基于同源性的覆盖漏洞检测算法

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In wireless sensor networks (WSNs), coverage holes may appear because of sensors' random deployment, sensor destruction or consumption of sensor power. Discovery of boundaries of coverage holes is important for repairing these holes and optimizing the whole network. In this paper, we use Rips complex as system model based on homology knowledge. We adopt a detection algorithm to find non-triangular holes only dependent on the connectivity information between sensors. Rely on the definition promoted, we can find all boundary edges and then initiate the process of finding coverage holes. We prove that our algorithm can reduce computation complexity of coverage holes detection by comparing with another homology-based method. And simulation results show that our algorithm can discover almost all non-triangular holes with the accuracy reaching up to 99.99%.
机译:在无线传感器网络(WSN)中,由于传感器的随机部署,传感器破坏或传感器功率的消耗,可能会出现覆盖孔。发现覆盖孔的边界对于修复这些孔和优化整个网络很重要。在本文中,我们使用Rips complex作为基于同源性知识的系统模型。我们采用一种检测算法来查找仅取决于传感器之间的连通性信息的非三角形孔。依靠提升的定义,我们可以找到所有边界边缘,然后启动寻找覆盖孔的过程。通过与另一种基于同源性的方法进行比较,我们证明了我们的算法可以降低覆盖孔检测的计算复杂度。仿真结果表明,我们的算法可以发现几乎所有的非三角形孔,准确率高达99.99 \%。

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