Mobile multihop communication network is an important branch of modern mobile communication system, and is an important technical support for ubiquitous communication. The random movement of the nodes makes the networ...Mobile multihop communication network is an important branch of modern mobile communication system, and is an important technical support for ubiquitous communication. The random movement of the nodes makes the networking be more flexible, but the frequently changing topology will decrease the link duration between nodes significantly, which will increase the packets loss probability and affect the network communication performance. Aiming at the problem of declining link duration caused by nomadic characteristics in mobile multihop communication network, four link duration models for possible moving states are established based on different features in real networking process in this paper, which will provide reliable criterion for the optimal routing selection. Model analysis and simulation results show that the reliable route established by the proposed model will effectively extend the link duration, and can enhance the global stability of the mobile multihop information transmission, so as to provide new option to transmission reliability improvement for the mobile communication network.展开更多
在移动自组织网中由于节点的移动性引起网络拓扑变化,成为影响网络性能优劣的关键因素。在反应式路由算法的基础上,提出了一种基于节点位置、速度与方向混合参数的路由协议AODV-PVD(AODV Routing Protocol based on Node Position,Veloc...在移动自组织网中由于节点的移动性引起网络拓扑变化,成为影响网络性能优劣的关键因素。在反应式路由算法的基础上,提出了一种基于节点位置、速度与方向混合参数的路由协议AODV-PVD(AODV Routing Protocol based on Node Position,Velocity and Direction)以衡量链路稳定性并预测链路持续时间。在路由发现阶段,根据节点的混合运动信息,使用节点筛选机制排除相对不稳定的链路,并通过节点相对移动速度预测链路持续时间,为数据传输选取稳定且路径较短的路由。NS2仿真结果显示,相较于按需距离矢量路由AODV(Ad Hoc On-demand Distance Vector)及现有改进协议,AODV-PVD路由协议可以获得更好的分组投递率、端到端传输时延和吞吐量性能。展开更多
链路时延是决定车联网(vehicular ad hoc networks,VANETs)许多网络性能的重要标准.现存的VANETs基于节点移动性解决链路时延的问题,但是都没有预测的功能,不适合实际VANETs中动态预测车-车(vehicle to vehicle,V2V)链路时延.提出动态...链路时延是决定车联网(vehicular ad hoc networks,VANETs)许多网络性能的重要标准.现存的VANETs基于节点移动性解决链路时延的问题,但是都没有预测的功能,不适合实际VANETs中动态预测车-车(vehicle to vehicle,V2V)链路时延.提出动态预测任意2车链路时延的数学模型DPLD,考虑2车相对速度分布、相对距离变化、交通密度和城市场景中交通灯因素对2车之间链路时延的影响,因为这些因素在链路连接过程中是变化的.通过考虑相对速度的分布,模型能够实时地调整原则自适应车速变化.通过自动调整2车之间相对距离计算方法,DPLD模型能够自适应2车间相对距离的变化.因此该模型能够有效地预测预期要发生的2车之间的链路时延.这个模型实现取决于相对速度分布参数的估计方法、指数移动平均法对车速异常处理以及交通灯对链路时延影响的概率建模并且详细给出2车遇到不同交通灯的具体链路时延预测方法.仿真结果表明:DPLD模型预测的城市环境的2车之间链路时延准确性很高.展开更多
基金support by the National Natural Science Foundation of China under Grant No.61302074, 61571181Natural Science Foundation of Heilongjiang Province under Grant No.QC2013C061+2 种基金Modern Sensor Technology Research and Innovation Team Foundation of Heilongjiang Province No. 2012TD007Postdoctoral Research Foundation of Heilongjiang Province No. LBH-Q15121Postgraduate Innovation Research Foundation of Heilongjiang University under Grant No. YJSCX2016-019HLJU
文摘Mobile multihop communication network is an important branch of modern mobile communication system, and is an important technical support for ubiquitous communication. The random movement of the nodes makes the networking be more flexible, but the frequently changing topology will decrease the link duration between nodes significantly, which will increase the packets loss probability and affect the network communication performance. Aiming at the problem of declining link duration caused by nomadic characteristics in mobile multihop communication network, four link duration models for possible moving states are established based on different features in real networking process in this paper, which will provide reliable criterion for the optimal routing selection. Model analysis and simulation results show that the reliable route established by the proposed model will effectively extend the link duration, and can enhance the global stability of the mobile multihop information transmission, so as to provide new option to transmission reliability improvement for the mobile communication network.
文摘在移动自组织网中由于节点的移动性引起网络拓扑变化,成为影响网络性能优劣的关键因素。在反应式路由算法的基础上,提出了一种基于节点位置、速度与方向混合参数的路由协议AODV-PVD(AODV Routing Protocol based on Node Position,Velocity and Direction)以衡量链路稳定性并预测链路持续时间。在路由发现阶段,根据节点的混合运动信息,使用节点筛选机制排除相对不稳定的链路,并通过节点相对移动速度预测链路持续时间,为数据传输选取稳定且路径较短的路由。NS2仿真结果显示,相较于按需距离矢量路由AODV(Ad Hoc On-demand Distance Vector)及现有改进协议,AODV-PVD路由协议可以获得更好的分组投递率、端到端传输时延和吞吐量性能。
文摘链路时延是决定车联网(vehicular ad hoc networks,VANETs)许多网络性能的重要标准.现存的VANETs基于节点移动性解决链路时延的问题,但是都没有预测的功能,不适合实际VANETs中动态预测车-车(vehicle to vehicle,V2V)链路时延.提出动态预测任意2车链路时延的数学模型DPLD,考虑2车相对速度分布、相对距离变化、交通密度和城市场景中交通灯因素对2车之间链路时延的影响,因为这些因素在链路连接过程中是变化的.通过考虑相对速度的分布,模型能够实时地调整原则自适应车速变化.通过自动调整2车之间相对距离计算方法,DPLD模型能够自适应2车间相对距离的变化.因此该模型能够有效地预测预期要发生的2车之间的链路时延.这个模型实现取决于相对速度分布参数的估计方法、指数移动平均法对车速异常处理以及交通灯对链路时延影响的概率建模并且详细给出2车遇到不同交通灯的具体链路时延预测方法.仿真结果表明:DPLD模型预测的城市环境的2车之间链路时延准确性很高.
