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A Localized Algorithm for Restoring Internode Connectivity in Networks of Moveable Sensors

机译:恢复可移动传感器网络中节点间连通性的本地化算法

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Recent years have witnessed a growing interest in the applications of wireless sensor networks (WSNs). In some of these applications, such as search and rescue and battlefield reconnaissance, a set of mobile nodes is deployed in order to collectively survey an area of interest and/or perform specific surveillance tasks. Such collaboration among the sensors requires internode interaction and thus maintaining network connectivity is critical to the effectiveness of WSNs. While connectivity can be provisioned at startup time and then sustained through careful coordination when nodes move, a sudden failure of a node poses a challenge since the network may get partitioned. This paper presents RIM; a distributed algorithm for Recovery through Inward Motion. RIM strives to efficiently restore the network connectivity after a node failure. Instead of performing a networkwide analysis to assess the impact of the node failure and orchestrate a course of action, RIM triggers a local recovery process by relocating the neighbors of the lost node. In addition to minimizing the messaging overhead, RIM opts to reduce the distance that the individual nodes have to travel during the recovery. The correctness of the RIM algorithm is proven and the incurred overhead is analyzed. The performance of RIM is validated through simulation experiments.
机译:近年来,目睹了对无线传感器网络(WSN)应用的日益增长的兴趣。在这些应用中的一些中,例如搜索和救援以及战场侦察,部署了一组移动节点,以便共同调查感兴趣的区域和/或执行特定的监视任务。传感器之间的这种协作需要节点间的交互,因此维持网络连接性对WSN的有效性至关重要。虽然可以在启动时设置连通性,然后在节点移动时通过仔细协调来维持连通性,但由于网络可能会分区,因此节点的突然故障带来了挑战。本文介绍RIM。通过向内运动进行恢复的分布式算法。节点发生故障后,RIM努力有效地恢复网络连接。 RIM不会执行网络范围的分析来评估节点故障的影响并精心设计行动方案,而是通过重新定位丢失节点的邻居来触发本地恢复过程。除了最大程度地减少消息传递开销外,RIM还选择减少恢复期间各个节点必须经过的距离。证明了RIM算法的正确性,并分析了产生的开销。通过仿真实验验证了RIM的性能。

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