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Optimized interconnection of disjoint wireless sensor network segments using K mobile data collectors

机译:使用K个移动数据收集器优化不相交的无线传感器网段的互连

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Due to harsh environmental conditions a Wireless Sensor Network (WSN) may suffer from large scale damage where many nodes fail simultaneously and thus the network gets partitioned into several disjoint network segments. Restoring intersegment connectivity is essential to avoid negative effects on the application. Employing mobile data collectors (MDCs), which by repositioning-facilitate the establishment of communication links between segments, may provide flexible solution to this problem. However the problem of finding shortest tours for MDCs is NP-Hard. In this paper we study the problem under constrained number of MDCs which makes the problem more challenging. We present a polynomial time heuristic for Interconnecting Disjoint Segments with k MDCs (IDM-kMDC). IDM-kMDC opts to minimize the tour lengths and balance the load on the k available MDCs. We model each segment by a representative. The IDM-kMDC heuristic finds k-subsets of representatives, computes an optimized tour for each subset and assigns one MDC for each tour. The performance of the algorithm is validated through simulation.
机译:由于恶劣的环境条件,无线传感器网络(WSN)可能遭受大规模破坏,其中许多节点同时发生故障,因此网络被划分为几个不相交的网络段。恢复段间连接对于避免对应用程序产生负面影响至关重要。使用移动数据收集器(MDC),通过重新定位以便于在各段之间建立通信链接,可以为该问题提供灵活的解决方案。但是,为MDC找到最短行程的问题是NP-Hard。在本文中,我们研究了受MDC约束的问题,这使问题更具挑战性。我们提出了与k个MDC(IDM-kMDC)互连不相交段的多项式时间启发法。 IDM-kMDC选择最小化行程长度并平衡k个可用MDC上的负载。我们由代表对每个细分进行建模。 IDM-kMDC启发式算法可找到代表的k个子集,为每个子集计算优化的行程,并为每个行程分配一个MDC。通过仿真验证了算法的性能。

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