设计了基于多跳位置估计的无线光移动自组织网络拓扑重构方法,该方法不依赖定位系统,如全球定位系统(global positioning system,GPS)等,也不需要无线电通信辅助,仅采用自由空间光(free space optical,FSO)对网络中其他节点进行方向和...设计了基于多跳位置估计的无线光移动自组织网络拓扑重构方法,该方法不依赖定位系统,如全球定位系统(global positioning system,GPS)等,也不需要无线电通信辅助,仅采用自由空间光(free space optical,FSO)对网络中其他节点进行方向和距离估计,位置估计信息通过多跳方式传递,用于建立重构链路,增加节点连通度,提高网络性能。该方法分析了多跳节点间的位置不确定区域,并提出了覆盖不确定区域的光波束分配算法用于新的FSO链路建立。仿真表明,在节点规模小于20的自组织网络中,光束发散角大小与距离估计误差决定相对定位精度,并影响重构网络节点端到端性能,通过减小发散角并提高光检测灵敏度,该方法的性能接近基于GPS定位的重构方法。展开更多
Node location estimation is not only the promise of the wireless network for target recognition,monitoring,tracking and many other applications,but also one of the hot topics in wireless network research.In this paper...Node location estimation is not only the promise of the wireless network for target recognition,monitoring,tracking and many other applications,but also one of the hot topics in wireless network research.In this paper,the localization algorithm for wireless network with unevenly distributed nodes is discussed,and a novel multi-hop localization algorithm based on Elastic Net is proposed.The proposed approach is formulated as a regression problem,which is solved by Elastic Net.Unlike other previous localization approaches,the proposed approach overcomes the shortcomings of traditional approaches assume that nodes are distributed in regular areas without holes or obstacles,therefore has a strong adaptability to the complex deployment environment.The proposed approach consists of three steps:the data collection step,mapping model building step,and location estimation step.In the data collection step,training information among anchor nodes of the given network is collected.In mapping model building step,the mapping model among the hop-counts and the Euclidean distances between anchor nodes is constructed using Elastic Net.In location estimation step,each normal node finds its exact location in a distributed manner.Realistic scenario experiments and simulation experiments do exhibit the excellent and robust location estimation performance.展开更多
Most of the existing routing protocols for heterogeneous multi-hop wireless networks （HWMNs） use on-demand routing protocols owing to their suitability for dynamic topology environments, but it causes wastes of netw...Most of the existing routing protocols for heterogeneous multi-hop wireless networks （HWMNs） use on-demand routing protocols owing to their suitability for dynamic topology environments, but it causes wastes of network resources with large number of data packets being broadcast. Furthermore, some nodes in heterogeneous wireless multi-hop networksmay be malicious or selfish nodes which can easily lead to link attacks. A novel routing protocol called trust-based secure routing protocol with auxiliary of nodes＇ location information （TSRAL） is proposed for the establishment of a secure routing protocol with a lower overhead for HWMNs which combines the location information and trust value of nodes to select the next forwarding nodes. The destination node selects an optimal path from multiple paths according to the total trust value and the hop number of routes. Simulation results demonstrate that TSRAL can not only reduce the number of hops and data packets being broadcast in the process of routing but also ensure the safety of the route.展开更多
提出一种面向多跳无线网络的多干扰源定位算法,主要包括3个步骤:基于梯度下降法的分组投递率谷点推定、基于梯度上升法的接收干扰强度(RJSS,received jamming signal strength)峰点推定和聚类分析。首先,算法从多个初始节点出发,采用梯...提出一种面向多跳无线网络的多干扰源定位算法,主要包括3个步骤:基于梯度下降法的分组投递率谷点推定、基于梯度上升法的接收干扰强度(RJSS,received jamming signal strength)峰点推定和聚类分析。首先,算法从多个初始节点出发,采用梯度下降法,沿着分组投递率梯度下降最快的方向逼近干扰源,直至到达分组投递率谷点;然后应用功率自适应动态调整技术,采用梯度上升法,沿着接收干扰强度上升最快的方向继续逼近干扰源,直至接收干扰强度峰点(也称为RJSS停止节点);最后通过对无法与RJSS停止节点通信的邻居节点进行聚类分析,确定干扰源的数量和位置。模拟实验表明,与现有算法相比,所提算法可以有效降低多干扰源定位过程的定位误差;并且,当干扰源间距符合限定条件时,算法定位结果更优。展开更多
文摘设计了基于多跳位置估计的无线光移动自组织网络拓扑重构方法,该方法不依赖定位系统,如全球定位系统(global positioning system,GPS)等,也不需要无线电通信辅助,仅采用自由空间光(free space optical,FSO)对网络中其他节点进行方向和距离估计,位置估计信息通过多跳方式传递,用于建立重构链路,增加节点连通度,提高网络性能。该方法分析了多跳节点间的位置不确定区域,并提出了覆盖不确定区域的光波束分配算法用于新的FSO链路建立。仿真表明,在节点规模小于20的自组织网络中,光束发散角大小与距离估计误差决定相对定位精度,并影响重构网络节点端到端性能,通过减小发散角并提高光检测灵敏度,该方法的性能接近基于GPS定位的重构方法。
基金The paper is sponsored by the Natural Science Foundation of the Jiangsu Higher Education Institutions of China(15KJB520009,16KJD520004)China Postdoctoral Science Foundation(2016M601861)+1 种基金Jiangsu Postdoctoral Science Foundation(1701049A)the Open Project Program of Jiangsu Key Laboratory of Remote Measurement and Control(YCCK201603).
文摘Node location estimation is not only the promise of the wireless network for target recognition,monitoring,tracking and many other applications,but also one of the hot topics in wireless network research.In this paper,the localization algorithm for wireless network with unevenly distributed nodes is discussed,and a novel multi-hop localization algorithm based on Elastic Net is proposed.The proposed approach is formulated as a regression problem,which is solved by Elastic Net.Unlike other previous localization approaches,the proposed approach overcomes the shortcomings of traditional approaches assume that nodes are distributed in regular areas without holes or obstacles,therefore has a strong adaptability to the complex deployment environment.The proposed approach consists of three steps:the data collection step,mapping model building step,and location estimation step.In the data collection step,training information among anchor nodes of the given network is collected.In mapping model building step,the mapping model among the hop-counts and the Euclidean distances between anchor nodes is constructed using Elastic Net.In location estimation step,each normal node finds its exact location in a distributed manner.Realistic scenario experiments and simulation experiments do exhibit the excellent and robust location estimation performance.
文摘Most of the existing routing protocols for heterogeneous multi-hop wireless networks （HWMNs） use on-demand routing protocols owing to their suitability for dynamic topology environments, but it causes wastes of network resources with large number of data packets being broadcast. Furthermore, some nodes in heterogeneous wireless multi-hop networksmay be malicious or selfish nodes which can easily lead to link attacks. A novel routing protocol called trust-based secure routing protocol with auxiliary of nodes＇ location information （TSRAL） is proposed for the establishment of a secure routing protocol with a lower overhead for HWMNs which combines the location information and trust value of nodes to select the next forwarding nodes. The destination node selects an optimal path from multiple paths according to the total trust value and the hop number of routes. Simulation results demonstrate that TSRAL can not only reduce the number of hops and data packets being broadcast in the process of routing but also ensure the safety of the route.
文摘提出一种面向多跳无线网络的多干扰源定位算法,主要包括3个步骤:基于梯度下降法的分组投递率谷点推定、基于梯度上升法的接收干扰强度(RJSS,received jamming signal strength)峰点推定和聚类分析。首先,算法从多个初始节点出发,采用梯度下降法,沿着分组投递率梯度下降最快的方向逼近干扰源,直至到达分组投递率谷点;然后应用功率自适应动态调整技术,采用梯度上升法,沿着接收干扰强度上升最快的方向继续逼近干扰源,直至接收干扰强度峰点(也称为RJSS停止节点);最后通过对无法与RJSS停止节点通信的邻居节点进行聚类分析,确定干扰源的数量和位置。模拟实验表明,与现有算法相比,所提算法可以有效降低多干扰源定位过程的定位误差;并且,当干扰源间距符合限定条件时,算法定位结果更优。
