以视频传感器和图像传感器为代表的有向传感器,在保持连通性的前提下,网络覆盖面积很难最大化,低速率拒绝服务攻击在小面积内会造成带宽混乱拥堵,造成网络带宽分配不佳、分配错误率较高。为此,提出一种低速率拒绝服务攻击下有向传感器...以视频传感器和图像传感器为代表的有向传感器,在保持连通性的前提下,网络覆盖面积很难最大化,低速率拒绝服务攻击在小面积内会造成带宽混乱拥堵,造成网络带宽分配不佳、分配错误率较高。为此,提出一种低速率拒绝服务攻击下有向传感器网络带宽分配方法。建立低速率拒绝服务攻击(Denial of Service attack,DoS)有向传感器网络模型。将攻击频率及攻击时间作为约束条件,采用设计的资源调度器控制有向传感器网络参数,使其满足资源动态调度性能需求。利用动态带宽分配算法设定三种采样周期,并通过调整采样周期实现带宽分配。仿真结果表明,所提方法的平均时延低于23 ms,带宽利用率为94%,节点平均队列长度低于1.9。验证了该方法具有可靠性更高的带宽分配结果。展开更多
This paper concentrates on the secure consensus problem of networked mechanical/Euler–Lagrange systems.First,a new periodic event-triggered(PET)secure distributed observer is proposed to estimate the leader informati...This paper concentrates on the secure consensus problem of networked mechanical/Euler–Lagrange systems.First,a new periodic event-triggered(PET)secure distributed observer is proposed to estimate the leader information.The proposed distributed observer only relies on the PET data from its neighbors,which can significantly reduce the communication and computational burden.More importantly,it is secure in the sense that it can work normally regardless of the Denial-of-Service(DoS)attacks.Second,based on the proposed distributed observer,an adaptive fuzzy control law is proposed for each Euler–Lagrange system.A PET mechanism is integrated into the controller,which can reduce the control update.This is helpful for both energy saving and fault tolerance of actuators.Moreover,the PET mechanism naturally makes the controller easy to be implemented in digital platform.The property of fuzzy logic systems and Gronwall inequality are skillfully utilized to show the stability of the closed-loop system.Finally,the proposed control scheme is verified on real Euler–Lagrange systems,which contain a robot manipulator and several servo motors.展开更多
文摘以视频传感器和图像传感器为代表的有向传感器,在保持连通性的前提下,网络覆盖面积很难最大化,低速率拒绝服务攻击在小面积内会造成带宽混乱拥堵,造成网络带宽分配不佳、分配错误率较高。为此,提出一种低速率拒绝服务攻击下有向传感器网络带宽分配方法。建立低速率拒绝服务攻击(Denial of Service attack,DoS)有向传感器网络模型。将攻击频率及攻击时间作为约束条件,采用设计的资源调度器控制有向传感器网络参数,使其满足资源动态调度性能需求。利用动态带宽分配算法设定三种采样周期,并通过调整采样周期实现带宽分配。仿真结果表明,所提方法的平均时延低于23 ms,带宽利用率为94%,节点平均队列长度低于1.9。验证了该方法具有可靠性更高的带宽分配结果。
基金supported by the National Natural Science Foundation of China(No.52375520)Hunan Provincial Natural Science Foundation Regional Joint Fund(2023JJ50037).
文摘This paper concentrates on the secure consensus problem of networked mechanical/Euler–Lagrange systems.First,a new periodic event-triggered(PET)secure distributed observer is proposed to estimate the leader information.The proposed distributed observer only relies on the PET data from its neighbors,which can significantly reduce the communication and computational burden.More importantly,it is secure in the sense that it can work normally regardless of the Denial-of-Service(DoS)attacks.Second,based on the proposed distributed observer,an adaptive fuzzy control law is proposed for each Euler–Lagrange system.A PET mechanism is integrated into the controller,which can reduce the control update.This is helpful for both energy saving and fault tolerance of actuators.Moreover,the PET mechanism naturally makes the controller easy to be implemented in digital platform.The property of fuzzy logic systems and Gronwall inequality are skillfully utilized to show the stability of the closed-loop system.Finally,the proposed control scheme is verified on real Euler–Lagrange systems,which contain a robot manipulator and several servo motors.
