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Distributed Recovery from Network Partitioning in Movable Sensor/Actor Networks via Controlled Mobility

机译:通过可控制的移动性从可移动传感器/ Actor网络中的网络分区中进行分布式恢复

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Mobility has been introduced to sensor networks through the deployment of movable nodes. In movable wireless networks, network connectivity among the nodes is a crucial factor in order to relay data to the sink node, exchange data for collaboration, and perform data aggregation. However, such connectivity can be lost due to a failure of one or more nodes. Even a single node failure may partition the network, and thus, eventually reduce the quality and efficiency of the network operation. To handle this connectivity problem, we present PADRA to detect possible partitions, and then, restore the network connectivity through controlled relocation of movable nodes. The idea is to identify whether or not the failure of a node will cause partitioning in advance in a distributed manner. If a partitioning is to occur, PADRA designates a failure handler to initiate the connectivity restoration process. The overall goal in this process is to localize the scope of the recovery and minimize the overhead imposed on the nodes. We further extend PADRA to handle multiple node failures. The approach, namely, MDAPRA strives to provide a mutual exclusion mechanism in repositioning the nodes to restore connectivity. The effectiveness of the proposed approaches is validated through simulation experiments.
机译:通过部署可移动节点,将移动性引入了传感器网络。在移动无线网络中,节点之间的网络连接性是至关重要的因素,以便将数据中继到宿节点,交换数据以进行协作以及执行数据聚合。但是,由于一个或多个节点的故障,此类连接可能会丢失。甚至单个节点故障也可能会划分网络,从而最终降低网络操作的质量和效率。为了解决此连通性问题,我们提出了PADRA来检测可能的分区,然后通过控制可移动节点的重定位来恢复网络连通性。其思想是预先确定节点的故障是否会导致分布式分区。如果要进行分区,则PADRA指定故障处理程序以启动连接恢复过程。此过程的总体目标是确定恢复范围并最大程度地降低施加在节点上的开销。我们进一步扩展了PADRA,以处理多个节点故障。该方法(即MDAPRA)在重新定位节点以恢复连接性方面努力提供一种互斥机制。仿真实验验证了所提方法的有效性。

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