车联网中车与车以及车与基础设施间的实时通信问题越来越受到关注,而车辆的高速移动性和无线通信的不可靠性大大降低了数据传输效率。为了解决这个问题,针对路边单元(Road Side Unit, RSU)接入选择问题进行了研究,并提出了一种新的RSU...车联网中车与车以及车与基础设施间的实时通信问题越来越受到关注,而车辆的高速移动性和无线通信的不可靠性大大降低了数据传输效率。为了解决这个问题,针对路边单元(Road Side Unit, RSU)接入选择问题进行了研究,并提出了一种新的RSU接入选择算法,来合理调配车辆与RSU的连接。车辆选择RSU进行接入的常规方法是基于车辆的接收信号强度,但它未充分考虑车辆的高速移动性,这会导致接入RSU的车辆的数目大幅度变化。所以采用实时监测和预测相结合的方法合理调配RSU上连接的车辆,让每一RSU上连接的车辆数目波动幅度达到最小,并且保证RSU得到充分利用。仿真结果表明,此算法能够有效降低数据包碰撞、增强无碰撞传输概率、提高成功传包率。展开更多
The study of vehicular networks has attracted considerable interest in academia and the industry.In the broad area,connected vehicles and autonomous driving are technologies based on wireless data communication betwee...The study of vehicular networks has attracted considerable interest in academia and the industry.In the broad area,connected vehicles and autonomous driving are technologies based on wireless data communication between vehicles or between vehicles and infrastructures.A Vehicle-to-Infrastructure(V2I)system consists of communications and computing over vehicles and related infrastructures.In such a system,wireless sensors are installed in some selected points along roads or driving areas.In autonomous driving,it is crucial for a vehicle to figure out the ideal routes by the communications between its equipped sensors and infrastructures then the vehicle is automatically moving along the routes.In this paper,we propose a Bezier curve based recursive algorithm,which effectively creates routes for vehicles through the communication between the On-Board Unit(OBU)and the Road-Side Units(RSUs).In addition,this approach generates a very low overhead.We conduct simulations to test the proposed algorithm in various situations.The experiment results demonstrate that our algorithm creates almost ideal routes.展开更多
为了降低碳排放量和部署成本,利用太阳能给车联网路边设施(Road Side Unit,RSU)供电是一个可行的方法.本文针对太阳能供电的RSU,提出了两个分布式的在线调度策略,旨在最大化服务车辆数.在基于Markov链的调度策略中,采用Markov链表述RSU...为了降低碳排放量和部署成本,利用太阳能给车联网路边设施(Road Side Unit,RSU)供电是一个可行的方法.本文针对太阳能供电的RSU,提出了两个分布式的在线调度策略,旨在最大化服务车辆数.在基于Markov链的调度策略中,采用Markov链表述RSU能量状态,并通过对动作的奖励最大化服务的车辆数;在基于阈值的调度策略中,RSU计算服务车辆时所消耗的能量,并结合自己的能量状态,选择服务的车辆.仿真结果表明,本文提出的在线调度策略增加了服务车辆数.展开更多
针对车联网(vehicular ad hoc networks,VANETs)中路边设施单元(road side units,RSUs)部署问题,提出部署RSU的新方案,记为P_RSU方案。P_RSU方案以保证必要的数据包传输率(packet delivery ratio,PDR)为前提,以降低所有RSUs消耗总能量...针对车联网(vehicular ad hoc networks,VANETs)中路边设施单元(road side units,RSUs)部署问题,提出部署RSU的新方案,记为P_RSU方案。P_RSU方案以保证必要的数据包传输率(packet delivery ratio,PDR)为前提,以降低所有RSUs消耗总能量为目的。P_RSU方案引用休眠机制,并采用太阳能作为RSUs能量供给的补充。首先将P_RSU方案进行形式化表述,形成约束条件、多目标函数。然后,通过RPR(rainbow product ranking)算法求解目标函数,从而获取部署RSUs的最优位置。仿真结果表明,提出的P_RSU方案能有效地降低能量消耗、优化RSUs数量。展开更多
文摘车联网中车与车以及车与基础设施间的实时通信问题越来越受到关注,而车辆的高速移动性和无线通信的不可靠性大大降低了数据传输效率。为了解决这个问题,针对路边单元(Road Side Unit, RSU)接入选择问题进行了研究,并提出了一种新的RSU接入选择算法,来合理调配车辆与RSU的连接。车辆选择RSU进行接入的常规方法是基于车辆的接收信号强度,但它未充分考虑车辆的高速移动性,这会导致接入RSU的车辆的数目大幅度变化。所以采用实时监测和预测相结合的方法合理调配RSU上连接的车辆,让每一RSU上连接的车辆数目波动幅度达到最小,并且保证RSU得到充分利用。仿真结果表明,此算法能够有效降低数据包碰撞、增强无碰撞传输概率、提高成功传包率。
基金the Presidential Incentive Awards(No.1103 and No.1105)MCCB summer research award in the University of North Georgia.
文摘The study of vehicular networks has attracted considerable interest in academia and the industry.In the broad area,connected vehicles and autonomous driving are technologies based on wireless data communication between vehicles or between vehicles and infrastructures.A Vehicle-to-Infrastructure(V2I)system consists of communications and computing over vehicles and related infrastructures.In such a system,wireless sensors are installed in some selected points along roads or driving areas.In autonomous driving,it is crucial for a vehicle to figure out the ideal routes by the communications between its equipped sensors and infrastructures then the vehicle is automatically moving along the routes.In this paper,we propose a Bezier curve based recursive algorithm,which effectively creates routes for vehicles through the communication between the On-Board Unit(OBU)and the Road-Side Units(RSUs).In addition,this approach generates a very low overhead.We conduct simulations to test the proposed algorithm in various situations.The experiment results demonstrate that our algorithm creates almost ideal routes.
文摘为了降低碳排放量和部署成本,利用太阳能给车联网路边设施(Road Side Unit,RSU)供电是一个可行的方法.本文针对太阳能供电的RSU,提出了两个分布式的在线调度策略,旨在最大化服务车辆数.在基于Markov链的调度策略中,采用Markov链表述RSU能量状态,并通过对动作的奖励最大化服务的车辆数;在基于阈值的调度策略中,RSU计算服务车辆时所消耗的能量,并结合自己的能量状态,选择服务的车辆.仿真结果表明,本文提出的在线调度策略增加了服务车辆数.
文摘针对车联网(vehicular ad hoc networks,VANETs)中路边设施单元(road side units,RSUs)部署问题,提出部署RSU的新方案,记为P_RSU方案。P_RSU方案以保证必要的数据包传输率(packet delivery ratio,PDR)为前提,以降低所有RSUs消耗总能量为目的。P_RSU方案引用休眠机制,并采用太阳能作为RSUs能量供给的补充。首先将P_RSU方案进行形式化表述,形成约束条件、多目标函数。然后,通过RPR(rainbow product ranking)算法求解目标函数,从而获取部署RSUs的最优位置。仿真结果表明,提出的P_RSU方案能有效地降低能量消耗、优化RSUs数量。
