Ad hoc Fault Detection Algorithm Based on Fuzzy Partition
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Sichuan Post and Telecommunications College,SiChuan ChengDu 610067
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摘要:
針對現有移動(dòng)自組織網(wǎng)絡(luò )故障檢測算法精度較低、延時(shí)較大的問(wèn)題,提出了一種基于模糊分割的檢測算法ANFD(Ad hoc Networks Fault Detection)。ANFD算法以網(wǎng)絡(luò )數據包與檢測消息作為檢測工具,通過(guò)模糊分割方法對接收到的信息進(jìn)行處理,最終通過(guò)時(shí)頻域方法進(jìn)行故障分割,實(shí)施最終的故障識別。仿真試驗證明,ANFD算法較之其他算法具有較高的故障檢測精度、較短的響應延遲,并且具有較低的消息復雜度和內存消耗。
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.