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Self-reconfiguration aggregation scheduling to recover from node and interference faults in WSNs

机译:自重配置聚合调度以从WSN中的节点故障和干扰故障中恢复

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Recovery from node faults and interference faults has been an important area of research in Wireless Sensor Networks (WSNs). Whilst faulty nodes hinder the data aggregation process, interference faults lead to faulty transmissions amongst the communicating sensor nodes. Sidelining the faulty nodes from the network and finding alternate paths for the affected nodes works out to be a good solution when (a) the nodes are in direct range of each other (b) localized interaction among the nodes leads to a connected path to the sink. But for cases where alternate path, active replicas, or stationary relays do not exist, and also in cases where the aggregation network is controlled by sink, reconstruction of hierarchical aggregation tree may turn out to be better solution. Further, for any aggregation-based link scheduling, the aggregation delay depends on the effect of interference among the simultaneous active links. In this paper, we develop an algorithm that attempts to establish the routing path to the sink after isolating the faulty nodes along the aggregation tree. The Self-Reconfiguration Aggregation Tree Scheduling (RAGTS) algorithm makes use of the Composite Interference Mapping (CIM) model developed by us earlier, to generate an interference fault free aggregation schedule for all links in WSN. We validate the approach through analytical and simulation studies.
机译:从节点故障和干扰故障中恢复是无线传感器网络(WSN)的重要研究领域。虽然故障节点会阻碍数据聚合过程,但干扰故障会导致通信传感器节点之间的传输错误。当(a)节点彼此之间处于直接范围内时(b)节点之间的局部交互作用导致到网络的连接路径,从网络中排除故障节点并为受影响的节点找到备用路径是一个很好的解决方案。下沉。但是对于不存在备用路径,活动副本或固定中继的情况,以及在聚合网络由接收器控制的情况下,分层聚合树的重建可能会成为更好的解决方案。此外,对于任何基于聚合的链路调度,聚合延迟取决于同时活动链路之间的干扰影响。在本文中,我们开发了一种算法,该算法尝试在沿聚合树隔离故障节点后尝试建立到宿的路由路径。自重配置聚合树调度(RAGTS)算法利用我们之前开发的复合干扰映射(CIM)模型,为WSN中的所有链路生成无干扰的无故障聚合调度。我们通过分析和模拟研究验证了该方法。

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