基于模糊逻辑分类的WSN Sinkhole侦测  

Sinkhole Detection Based on Fuzzy Logic Classification for WSN

作　　者：高建斌[1,2] 娄渊胜[2] 

机构地区：[1]海军91669部队 [2]河海大学计算机与信息学院

出　　处：《计算机工程》2011年第9期178-180,共3页Computer Engineering

基　　金：国家"863"计划基金资助项目(2007AA01Z178)

摘　　要：分析无线传感器网络Sinkhole攻击侦测的监测特征、方法和侦测流程,设计并实现基于模糊逻辑分类的攻击侦测方案。仿真实验表明,该方案能较好地解决多因素集合的模糊信息问题,克服以往方案侦测模型复杂、误报率较高的不足,具有运算量小,易于实现、适用性好的特点。This paper takes Wireless Sensor Network（WSN） Sinkhole detection as an example.It discusses the basic strategy,the characteristic and process of the detection,and designs and carries out a detection proposal based on fuzzy logic classification.Its simulation experiment results indicate that the proposal well deals with fuzzy information in multifactor sets,and it overcomes the shortcomings of model complexity and high false alarm rates in old scheme.The proposal scheme has a series advantages of little compute,easy implementation and good applicability.

关 键 词：无线传感器网络 模糊逻辑 Sinkhole攻击 侦测模型 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]