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针对无线网状网入侵检测系统监测节点能耗、时延等问题,提出一种基于互信息量的监测节点选择算法。从网络拓扑结构出发,采用桥连接系数表征节点拓扑位置的重要性,同时考虑到节点间联系程度对节点重要性的影响,利用互信息理论确定监测节点。为了减少信息冗余量,该算法引入线性阈值模型,以节点相似度作为影响力边权值,建立影响力模型,从而确定安全监测节点的监测范围。仿真结果表明,在保证监测准确性的前提下,该算法能够降低系统检测开销,提高网络性能。
Aiming at the problems of node energy consumption and delay in wireless mesh intrusion detection system, a monitoring node selection algorithm based on mutual information is proposed. Based on the network topology structure, the bridge connection coefficient is used to characterize the importance of node topology location. At the same time, the influence of the degree of connection between nodes on the node importance is considered. The mutual information theory is used to determine the monitoring nodes. In order to reduce the amount of information redundancy, this algorithm introduces a linear threshold model, takes the node similarity as the influential edge weight and establishes the influence model to determine the monitoring range of the safety monitoring node. The simulation results show that under the premise of ensuring the accuracy of monitoring, the algorithm can reduce the system detection overhead and improve the network performance.