Dynamic Fault Tolerant Topology Control for Wireless Sensor Network Based on Node Cascading Failure

Yang Xiao
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引用次数: 3

Abstract

To address the node cascading failure (CF) of the wireless sensor networks (WSNs), considering such factors as node load and maximum capacity in scale-free topology, this paper establishes the WSN dynamic fault tolerant topology model based on node cascading failure, analyses the relationships between node load, topology and dynamic fault tolerance, and demonstrates the proposed model through simulation test. It studies the effects of topology parameter and load in case of random node failure in the network node cascading failure, and utilizes the theoretical derivation method to derive the structural feature of scale-free topology and the capacity limit for the WSNs large-scale cascading failure, effectively enhancing the cascading fault tolerance of traditional WSNs. The simulation test results show that, with the degree distribution parameter C increasing, the minimum network node degree will increase accordingly, and in highly intensive topology, the dynamic fault tolerance will be better; with the parameter λ increasing, the maximum degree of the network node will gradually decrease, and the degree distribution of topology structure tends to be uniform, so that the large-scale cascading failure caused by node failure will have less influence on the WSN, and further improve the dynamic fault tolerance performance of the system.
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基于节点级联故障的无线传感器网络动态容错拓扑控制
为解决无线传感器网络(WSN)的节点级联故障(CF)问题,在无标度拓扑中考虑节点负载和最大容量等因素,建立了基于节点级联故障的WSN动态容错拓扑模型,分析了节点负载、拓扑和动态容错之间的关系,并通过仿真测试对所提出的模型进行了验证。研究了网络节点级联故障中随机节点故障情况下拓扑参数和负载的影响,利用理论推导方法推导了无标度拓扑的结构特征和WSNs大规模级联故障的容量限制,有效提高了传统WSNs的级联容错能力。仿真测试结果表明,随着度分布参数C的增大,网络最小节点度也相应增大,在高度密集的拓扑下,网络的动态容错能力较好;随着参数λ的增大,网络节点的最大程度逐渐减小,拓扑结构的程度分布趋于均匀,使得节点故障引起的大规模级联故障对WSN的影响较小,进一步提高了系统的动态容错性能。
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