使用K移动数据采集器优化不连接的无线传感器网段互连

Fatih Senel, M. Younis
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引用次数: 34

摘要

由于恶劣的环境条件,无线传感器网络(WSN)可能会遭受大规模的破坏,许多节点同时失效,从而导致网络被划分为几个不相交的网段。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。采用移动数据采集器(mdc)可以灵活地解决这一问题,因为移动数据采集器可以通过重新定位来促进各部门之间的通信联系的建立。然而,寻找最短路径的问题是NP-Hard。在本文中,我们研究了有约束的发展中国家数量下的问题,这使得该问题更具挑战性。提出了一种具有k个mdc的不相交段互连的多项式时间启发式算法(IDM-kMDC)。IDM-kMDC选择最小化行程长度并平衡k个可用mdc上的负载。我们用一个代表为每个部分建模。IDM-kMDC启发式查找代表的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。通过仿真验证了该算法的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimized interconnection of disjoint wireless sensor network segments using K mobile data collectors
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.
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