Modeling and analyzing cascading dynamics of the clustered wireless sensor network
Modeling and analyzing cascading dynamics of the clustered wireless sensor network
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DOI：
10.1016/j.ress.2019.02.009
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发表时间：
2019-06-01
影响因子：
8.1
通讯作者：
Yang, Yongsheng
中科院分区：
文献类型：
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作者：
Fu, Xiuwen;Yao, Haiqing;Yang, Yongsheng
虽然在研究无线传感器网络抗毁性方面取得了一定的进展，但都只考虑了网络拓扑结构对网络抗毁性的影响，而没有考虑路由协议的影响，使得这些研究无法正确反映无线传感器网络的流量特性。在这项工作中，我们构建了一个级联模型的分簇无线传感器网络，并提出了一个故障感知的路由恢复机制。在该模型中，负载函数是根据每个节点的实时数据包的数量定义的，过载函数是根据每个节点的拥塞状态定义的。过载的节点可以在一定的时间延迟后恢复，而不是从网络中永久删除。从级联抗毁性的角度分析了关键参数的影响，并对几种典型分簇路由协议的性能进行了评估。仿真结果表明，网络抗毁性与过载容忍系数正相关，与拥塞容忍系数负相关，恢复时间的延长会加剧级联过程的波动。此外，平衡集群大小并将汇聚节点放置在部署区域中心附近可以帮助网络降低级联故障的风险。通过在现有的分簇路由协议中引入路由恢复机制，使网络能够在几个步骤内恢复。
Although some progress has been made in studying the invulnerability of wireless sensor networks (WSNs) against cascading failures, they only consider the impact of network topology on network invulnerability, and do not consider the impact of routing protocols, which makes these studies unable to correctly reflect the traffic characteristics of WSNs. In this work, we construct a cascading model for clustered WSN and proposed a congestion-aware routing recovery mechanism. In this model, the load function is defined on each node according to the real-time number of data packets, and the overload function is defined on the basis of the congestion state of each node. The overloaded node can recover after a certain time delay, instead of being deleted permanently from the network. We analyzed the impact of key parameters and evaluate the performance of several typical clustered routing protocols from the perspective of cascading invulnerability. The simulation results show that the network invulnerability is positively correlated with overload tolerance coefficient and negatively correlated with congestion tolerance coefficient, and the extension of recovery time can aggravate the fluctuation of the cascading process. In addition, balancing the cluster size and putting the sink node near the center of the deployment area can help the network reduce the risks of cascading failures. By introducing routing recovery mechanism into existing clustered routing protocols, the network is able to recover in a few steps.