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Connectivity Restoration in Wireless Sensor Networks Using Steiner Tree Approximations

机译:使用斯坦纳树近似法在无线传感器网络中恢复连接性

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Wireless sensor nodes are symbiotic when deployed in an activity region and heavily rely on each other for successful transmission of data. Therefore, failure of some nodes can possibly partition the network. Since these networks often operate unattended, nodes need to collectively maintain connectivity and resolve any reachability problem. Most published approaches for restoring connectivity are based on a single underlying principle of replacing the failed node without considering the possible fact that the location of the failed node could have been the reason for its failure. These approaches also tend to trigger a cascaded relocation of many nodes resulting in increased overhead. This paper presents a novel solution that pursues rearrangement of nodes while limiting the scope of the recovery to the vicinity of the failed node. The connectivity restoration is modeled as a variant of the Steiner tree formation problem and solved using novel heuristics. The proposed approach is validated through simulation.
机译:无线传感器节点在活动区域​​中部署时是共生的,并且彼此严重依赖以成功传输数据。因此,某些节点的故障可能会划分网络。由于这些网络通常无人值守运行,因此节点需要共同维护连接性并解决任何可达性问题。大多数已发布的恢复连接性的方法都是基于替换故障节点的单个基本原理,而不考虑故障节点的位置可能是其故障原因的可能事实。这些方法还倾向于触发许多节点的级联重定位,从而导致开销增加。本文提出了一种新颖的解决方案,该解决方案在限制恢复范围到故障节点附近的同时,追求节点的重新布置。将连通性恢复建模为Steiner树形成问题的变体,并使用新颖的启发式方法进行求解。通过仿真验证了所提出的方法。

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