摘要
针对历史数据与邻居协作融合的思想所引生的无线传感器网络故障检测问题,提出了一种检测机制,不仅适用于故障节点随机分布的场景,也适用于故障节点集中分布的场景.仿真结果表明:当节点度数减小、节点故障率升高时,检测精度仍可以维持在96.7%以上.本检测机制只需要交互较少的信息,从而节省了节点的通信能耗和信道带宽.
A new fault detection mechanism based on historical data and neighbor-coordination was pres- ented. It gives the combination of detection methods was given based on historical data with the detection ways from neighbor-coordination. Simulation shows that the fault detection mechanism based on historical data and neighbor-coordination can be not only applied to the scene where the nodes are randomly distrib- uted, but also for scenarios in which the failed nodes are intensive. The detection accuracy can reach 96.7% or more although the average degree of the nodes reduces or the failure rate of the nodes increa- ses. In addition, different nodes only communicate few messages with each other in this detection mecha- nism. And thus, the energy of the node and the bandwidth of the channel can be saved.
出处
《北京邮电大学学报》
EI
CAS
CSCD
北大核心
2015年第B06期1-5,共5页
Journal of Beijing University of Posts and Telecommunications
基金
国家自然科学基金项目(61272515)
教育部博士点基金项目(20110005110011)
关键词
无线传感器网络
故障检测
残差比
历史数据
邻居协作
集中故障
wireless sensor network
fault detection
residual ratio
history data
neighbor-coordination
intensive fault