基于模糊分割的移动自组织网络故障检测算法

Ad hoc Fault Detection Algorithm Based on Fuzzy Partition

摘要:

针对现有移动自组织网络故障检测算法精度较低、延时较大的问题,提出了一种基于模糊分割的检测算法ANFD(Ad hoc Networks Fault Detection)。ANFD算法以网络数据包与检测消息作为检测工具,通过模糊分割方法对接收到的信息进行处理,最终通过时频域方法进行故障分割,实施最终的故障识别。仿真试验证明,ANFD算法较之其他算法具有较高的故障检测精度、较短的响应延迟,并且具有较低的消息复杂度和内存消耗。

Abstract:

In order to deal with the problems including low precision, high delays and so on, a fuzzy partition detection algorithm was presented as ANFD (Ad hoc Networks Fault Detection) based on Ad hoc networks. And it fused both the network packet and the detection message as a detection tool. Then it used the fuzzy partition method and the frequency domain method in data processes to detect fault. Simulation results have prove that ANFD algorithm has higher accuracy, shorter response delay, lower message complexity and less memory consumption than DSFD and CSDS algorithms do.