集群式病毒攻击下节点传输路径容错检测仿真
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摘要
为了加强传感节点传输路径运行安全性能,保障数据信息的可靠传输,对集群式病毒攻击下节点传输路径容错检测十分必要。当前基于贝叶斯的节点传输路径容错检测方法,利用二元检测的方式完成检测,检测整体质量差,能耗高。现提出一种基于FTTL的节点传输路径容错检测方法,设置节点传输路径容错检测环境,并利用传感器节点传输路径观测结果为依据,在似然矩阵中找到多个最大值,将所有最大值的中心当作容错检测的估计位置,降低检测能耗;依据节点传输路径容错检测的估计结果,利用和其它节点传输路径的通信,筛选出合格节点与优秀节点。设置被监测的信号传递特征函数来计算漂移系数,并确定单条节点传输路径容错源位置。利用优秀传感节点传输路径,将监测系数及容错定位结果相关数据信息传输至基站,完成基站通信链路中的容错源的定位,以增强节点传输路径容错整体检测效果。仿真表明,所提方法可大幅度提升节点传输路径检测质量,检测所用能耗也远低于当前方法,可实践性较强。
A fault-tolerance detection method of node transmission path based on FTTL was presented. Firstly,we set fault-tolerant detection environment for node transmission path and taken the observational result of transmission path of sensor node as the basic to find many maximum values from the likelihood matrix. Then,we regarded the center of all the maximum values as the estimated location of fault-tolerant detection to reduce the energy consumption of detection. According to the estimation result of fault-tolerant detection of node transmission path,we used the communication with other nodes of transmission path to screen out qualified nodes and outstanding nodes. Moreover,we set the monitored signal transmission characteristic function to calculate the drift coefficient and determine the location of fault-tolerant source of a node transmission path. Finally,we used the transmission path of excellent sensor node to transmit the related data of monitoring coefficient and fault-tolerant positioning result to the base station.Thus,we completed the location of fault-tolerant source in the communication link of base station to enhance the overall fault-tolerant detection effect of node transmission path. Simulation results show that the proposed method can greatly improve the detection quality of node transmission path. Meanwhile,the energy consumption of detection is much lower than that of current methods,which has strong practicality.
A fault-tolerance detection method of node transmission path based on FTTL was presented. Firstly,we set fault-tolerant detection environment for node transmission path and taken the observational result of transmission path of sensor node as the basic to find many maximum values from the likelihood matrix. Then,we regarded the center of all the maximum values as the estimated location of fault-tolerant detection to reduce the energy consumption of detection. According to the estimation result of fault-tolerant detection of node transmission path,we used the communication with other nodes of transmission path to screen out qualified nodes and outstanding nodes. Moreover,we set the monitored signal transmission characteristic function to calculate the drift coefficient and determine the location of fault-tolerant source of a node transmission path. Finally,we used the transmission path of excellent sensor node to transmit the related data of monitoring coefficient and fault-tolerant positioning result to the base station.Thus,we completed the location of fault-tolerant source in the communication link of base station to enhance the overall fault-tolerant detection effect of node transmission path. Simulation results show that the proposed method can greatly improve the detection quality of node transmission path. Meanwhile,the energy consumption of detection is much lower than that of current methods,which has strong practicality.
引文
[1]吴会丛,王金泽,周万珍.基于容错测试的高鲁棒性模拟电路演化设计[J].高电压技术,2016,42(5):1386-1393.
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[5]杭彦希,等.端口故障粒度划分的虚通道动态分配式容错路由器设计[J].计算机应用,2017,37(6):1560-1568.
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[7]刘淑英.容错云计算网络中自适应故障检测方案研究[J].计算机应用研究,2015,32(1):161-166.
[8]程昊宇,等.网络控制系统有限频域故障检测和容错控制[J].北京航空航天大学学报,2017,43(3):524-532.
[9]刘雅思,程力,李晓.基于长度过滤和动态容错的SNM改进算法[J].计算机应用研究,2017,34(1):147-150.
[10]常珞,薛念.概率缓存策略的网络传输机制研究[J].电子设计工程,2017,2(25):159-162.
[2]董亮辉,刘景林.永磁同步电机位置传感器的故障检测和容错控制[J].西北工业大学学报,2016,34(2):306-312.
[3]范亮,王晓梅,梅关林.基于序贯检测的信元容错定界机制[J].计算机应用,2016,36(s2):18-21.
[4]杨春,等.采用双状态传播卡方检验和模糊自适应滤波的容错组合导航算法[J].控制理论与应用,2016,33(4):500-511.
[5]杭彦希,等.端口故障粒度划分的虚通道动态分配式容错路由器设计[J].计算机应用,2017,37(6):1560-1568.
[6]范佳明,陈奕梅.四旋翼无人机反步自适应容错控制研究[J].计算机仿真,2017,34(7):79-82.
[7]刘淑英.容错云计算网络中自适应故障检测方案研究[J].计算机应用研究,2015,32(1):161-166.
[8]程昊宇,等.网络控制系统有限频域故障检测和容错控制[J].北京航空航天大学学报,2017,43(3):524-532.
[9]刘雅思,程力,李晓.基于长度过滤和动态容错的SNM改进算法[J].计算机应用研究,2017,34(1):147-150.
[10]常珞,薛念.概率缓存策略的网络传输机制研究[J].电子设计工程,2017,2(25):159-162.