基于重叠分片法的网络顽健性动态增强仿真

针对网络顽健性动态增强过程网络区域划分不均,导致增强效率低和能耗高的问题,提出基于重叠分片法的网络顽健性动态增强方法。计算最优簇首数量,确定非测距定位技术和测距定位技术对节点的位置,利用节点位置划分网络区域。将事件信息传送到汇聚节点过程中存在的偏差,与自适应最小均方误差滤波算法和时空相关理论相结合,建立节点数据优化模型和通信频率优化模型,确定传递事件信息的最佳通信频率和最少激活节点总数,实现网络顽健性的动态增强。仿真结果表明,所提方法的增强效率高、能耗低且能有效反应网络不稳定节点输出的动态信号。

Dynamic Enhancement Simulation of Network Robustness Based on Overlapping Slice Method

The problem of uneven division of network area in the process of dynamic enhancement of network robustness may lead to low efficiency and high energy consumption.Therefore,this article focuses on a method of dynamic enhancement for network robustness based on overlapping subdivision method.The amount of optimal cluster heads was calculated at first.Then,the location of node was determined by range-free localization technology and ranging location technology.Moreover,the network zone was divided by the location of node.The deviation in the process of transmitting event information to sink node was combined with the adaptive least mean square error filtering algorithm and time-space theory,so that the node data optimization model and communication frequency optimization model were established.Finally,the best communication frequency and the minimum total number of active nodes for transmitting event information were determined.Thus,the dynamic enhancement of network robustness was achieved.Simulation results show that the proposed method has high enhancement efficiency and low energy consumption,so this method can respond to the dynamic signals of unstable nodes in network effectively.