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首页> 外文期刊>International Journal of Distributed Sensor Networks >Adaptive Topology Reconfiguration from an Actor Failure in Wireless Sensor-Actor Networks
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Adaptive Topology Reconfiguration from an Actor Failure in Wireless Sensor-Actor Networks

机译:自适应拓扑从无线传感器 - actor网络中的演员故障重新配置

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Wireless Sensor-Actor Network (WSAN) usually consists of numerous sensor nodes and fewer actors, and the connectivity of interactors is critical to the whole network. Due to the hash deployed environments and limited energy supply, actor nodes may fail and impact the performance of the whole network. Since the failure of a cut-vertex will disrupt connectivity and divide the topology into disjoint segments, most of the previous researches have already considered this scenario. However, the impact of an abruptly actor’s failure to the network will be far more than that. This paper focuses on the problem of an actor’s failure and gives a more comprehensive view of the faulty actor, that is, not only restricts to the cut-vertex. Length-Aware Topology Reconfiguration Algorithm (LTRA) is proposed on the basis of two vital definitions named as length impact index (LII) and vertex cut set (VCS). LTRA is a hybrid method which selects a best candidate for each actor (if it has) and then initiates in a distributed manner. Main idea of this approach is that candidate will move to replace the faulty one once the failure occurs. In addition, the candidate is selected from one-hop neighbors of each actor. Finally, performance of LTRA is validated by extensive simulation experiments.
机译:无线传感器 - 演员网络(WSAN)通常由许多传感器节点和更少的演员组成,并且互动器的连接对于整个网络至关重要。由于散列部署的环境和有限的能源供应,演员节点可能会失败并影响整个网络的性能。由于剪切顶点的失败将破坏连接并将拓扑分为不相交的段,因此之前的大多数研究已经考虑了这种情况。然而,突然演员的失败对网络的影响将远远超过它。本文重点介绍了演员失败的问题,并提供了对错误的演员更全面的观点,即不仅限制了剪切顶点。长度感知拓扑重新配置算法(LTRA)是基于名为长度影响指数(LII)和顶点切割集(VCS)的两个重要定义。 LTRA是一种混合方法,用于为每个actor(如果它有)选择最佳候选者,然后以分布式方式启动。这种方法的主要思想是,一旦发生故障,候选人将转移以替换故障。此外,候选者选自每个演员的一跳邻居。最后,通过广泛的仿真实验验证了LTRA的性能。

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