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Connectivity restoration in delay-tolerant sensor networks using game theory

机译:基于博弈论的时延容忍传感器网络连通性恢复

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摘要

Due to limited resources and harsh environments, partitioning can be inevitable in wireless sensor networks (WSNs). To re-establish network connectivity, healthy mobile sensor nodes can be repositioned in an on-demand basis. However, the nodes are equipped with limited batteries and their movement requires excessive energy consumption. In this paper, we address the problem of minimising the movement cost when re-establishing network connectivity in delay tolerant WSNs by presenting a distributed heuristic approach based on Game Theory. Compared to centralised heuristics which assume complete knowledge of the network and failures, this approach is self-healing that can work with uncertain network/failure information. Under limited knowledge on partitions and failure locations, Game Theory is used to facilitate decision making on the selection of the nodes to be moved and their movement directions. Extensive simulations have revealed the efficiency of the proposed approach in terms of movement distance and network coverage.
机译:由于资源有限和恶劣的环境,在无线传感器网络(WSN)中进行分区是不可避免的。为了重新建立网络连接,可以按需重新放置健康的移动传感器节点。但是,节点配备的电池数量有限,其移动需要消耗过多的能量。在本文中,我们通过提出一种基于博弈论的分布式启发式方法,来解决在容忍延迟无线传感器网络中重新建立网络连接时将移动成本降至最低的问题。与假定完全了解网络和故障的集中式启发式方法相比,此方法是可以与不确定的网络/故障信息一起使用的自我修复方法。在对分区和故障位置的了解有限的情况下,使用博弈论来促进关于要移动的节点及其移动方向的选择的决策。大量的仿真显示了该方法在移动距离和网络覆盖范围方面的效率。

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