一种群体认知的无线网络高效容错机制研究

Wireless Network Effective Fault-tolerant Mechanism Research Based on Bionic Group Synergy

无线传感网络工作在一些未知的环境中,设备损坏后网络数据出现传输中断,提出一种基于群体认知的无线网络容错机制研究方法,在传统理论的基础上,引入一种群体认知的观念,通过群体认知算法中,群体间合作优化的特点对无线传感网络中断的传输数据进行补充,运用相邻的无线传感网络节点位置与群体中最优位置推断已经发生中断的数据;在此推断的基础上,分别建立传感网络簇间与簇内的容错模型,对无线传感网络路径在解空间中进行编码,提高整个网络的容错率与能量均衡能力;在网络模拟平台NS2中的实验结果证明,这种方法的容错率高达85%,无线传感网络因为群体认知的引入,生命周期延长25%,具有很强的实用性。

Wireless sensor network may work in environment complicated circumstances, because unknowns cause equipment failure, net- work data transmission, appeared to break down the traditional routing protocols in fault--tolerant cannot guarantee energy efficient charac- teristics, this paper puts forward a bionic group collaboration based on the fault tolerance method, were established between clusters and cluster within the fault--tolerant model, using particle swarm collaborative perception evolution method structure alternative routing, the path in the solution space of coding, particle swarm coevolution high frequency variation, improve the algorithm of fault tolerance rate and energy balance ability. Experiments show that the method of fault tolerant rate reaches as high as 85%, the wireless network for efficient routing into 25% longer life cycle, have very strong practicability.