Event region detection is the important application for wireless sensor networks（WSNs）, where the existing faulty sensors would lead to drastic deterioration of network quality of service.Considering single-moment n...Event region detection is the important application for wireless sensor networks（WSNs）, where the existing faulty sensors would lead to drastic deterioration of network quality of service.Considering single-moment nodes fault-tolerance, a novel distributed fault-tolerant detection algorithm named distributed fault-tolerance based on weighted distance（DFWD） is proposed, which exploits the spatial correlation among sensor nodes and their redundant information.In sensor networks, neighborhood sensor nodes will be endowed with different relative weights respectively according to the distances between them and the central node.Having syncretized the weighted information of dual-neighborhood nodes appropriately, it is reasonable to decide the ultimate status of the central sensor node.Simultaneously, readings of faulty sensors would be corrected during this process.Simulation results demonstrate that the DFWD has a higher fault detection accuracy compared with other algorithms, and when the sensor fault probability is 10%, the DFWD can still correct more than 91% faulty sensor nodes, which significantly improves the performance of the whole sensor network.展开更多
软件定义网络(Software Defined Network,SDN)是一种新型的网络架构,相比于传统网络,简化了网络管理并更好地支持网络流量的动态控制,现已被许多应用领域采用。为了增强SDN的异常检测与防御能力,在拜占庭容错机制的基础上,提出一种异常...软件定义网络(Software Defined Network,SDN)是一种新型的网络架构,相比于传统网络,简化了网络管理并更好地支持网络流量的动态控制,现已被许多应用领域采用。为了增强SDN的异常检测与防御能力,在拜占庭容错机制的基础上,提出一种异常检测方法,对异常或错误的指令容错,保证正确下发流表,同时通过理论分析证明该方法的有效性和安全性。实验表明,在SDN网络环境中,该检测方法能够快速检测出异常网络设备,降低SDN异常检测中的漏报率和误报率。展开更多
数字图像边缘是具有明显亮度变化的像素集合,边缘检测是识别图像边缘的最佳方法。其中,二阶边缘检测算法具有很强的边缘定位能力,但在硬件实现上需要消耗大量资源,且易受到电路的内部噪声影响。文章提出拉普拉斯(Laplace)和高斯拉普拉斯...数字图像边缘是具有明显亮度变化的像素集合,边缘检测是识别图像边缘的最佳方法。其中,二阶边缘检测算法具有很强的边缘定位能力,但在硬件实现上需要消耗大量资源,且易受到电路的内部噪声影响。文章提出拉普拉斯(Laplace)和高斯拉普拉斯(Laplacian of Gaussian,LoG)2种常见二阶边缘检测算法的随机电路结构,并控制输入比特流的相关性来优化电路,进一步提高运行效率。实验结果表明,相比于传统的加权二进制实现,该电路消耗更少的功耗和电路面积,同时拥有更高的容错性。展开更多
基金supported by the National Science Foundation for Outstanding Young Scientists (60425310)the Science Foundation for Post-doctoral Scientists of Central South University (2008)
文摘Event region detection is the important application for wireless sensor networks（WSNs）, where the existing faulty sensors would lead to drastic deterioration of network quality of service.Considering single-moment nodes fault-tolerance, a novel distributed fault-tolerant detection algorithm named distributed fault-tolerance based on weighted distance（DFWD） is proposed, which exploits the spatial correlation among sensor nodes and their redundant information.In sensor networks, neighborhood sensor nodes will be endowed with different relative weights respectively according to the distances between them and the central node.Having syncretized the weighted information of dual-neighborhood nodes appropriately, it is reasonable to decide the ultimate status of the central sensor node.Simultaneously, readings of faulty sensors would be corrected during this process.Simulation results demonstrate that the DFWD has a higher fault detection accuracy compared with other algorithms, and when the sensor fault probability is 10%, the DFWD can still correct more than 91% faulty sensor nodes, which significantly improves the performance of the whole sensor network.
基金Supported by National Basic Research Program of China （973 Program） （2009CB320600）, National Natural Science Foundation of China （60828007, 60534010, 60821063）, the Leverhulme Trust （F/00. 120/BC） in the United Kingdom, and the 111 Project （B08015）
文摘软件定义网络(Software Defined Network,SDN)是一种新型的网络架构,相比于传统网络,简化了网络管理并更好地支持网络流量的动态控制,现已被许多应用领域采用。为了增强SDN的异常检测与防御能力,在拜占庭容错机制的基础上,提出一种异常检测方法,对异常或错误的指令容错,保证正确下发流表,同时通过理论分析证明该方法的有效性和安全性。实验表明,在SDN网络环境中,该检测方法能够快速检测出异常网络设备,降低SDN异常检测中的漏报率和误报率。
文摘数字图像边缘是具有明显亮度变化的像素集合,边缘检测是识别图像边缘的最佳方法。其中,二阶边缘检测算法具有很强的边缘定位能力,但在硬件实现上需要消耗大量资源,且易受到电路的内部噪声影响。文章提出拉普拉斯(Laplace)和高斯拉普拉斯(Laplacian of Gaussian,LoG)2种常见二阶边缘检测算法的随机电路结构,并控制输入比特流的相关性来优化电路,进一步提高运行效率。实验结果表明,相比于传统的加权二进制实现,该电路消耗更少的功耗和电路面积,同时拥有更高的容错性。
