在车载自组织VANETs中,为解决车辆间通信数据传输不流畅的问题。提出采用3G辅助VANETs的数据传输技术。在无法利用VANETs多跳通信传输数据时,启动3G传输,将此方案命名为3GDD,首先建立数据传输率和数据传输时延的效用函数,利用3G辅助VAN...在车载自组织VANETs中,为解决车辆间通信数据传输不流畅的问题。提出采用3G辅助VANETs的数据传输技术。在无法利用VANETs多跳通信传输数据时,启动3G传输,将此方案命名为3GDD,首先建立数据传输率和数据传输时延的效用函数,利用3G辅助VANETs数据传输实现最大化效用;其次,为了避开优化问题的复杂性,将原始的优化问题变换成整数线性规范问题ILP(integer linear programming problem);最后通过解决ILP,在不同时刻分配3G预算,并选择最不可能通过VANETs传输的数据用于3G传输。实验结果表明,提出的3GDD与同类的方案相比具有良好的性能。展开更多
Vehicular Ad-hoc Networks(VANETs) require reliable data dissemination for time-sensitive public safety applications. An efficient routing protocol plays a vital role to achieve satisfactory network performance. It is ...Vehicular Ad-hoc Networks(VANETs) require reliable data dissemination for time-sensitive public safety applications. An efficient routing protocol plays a vital role to achieve satisfactory network performance. It is well known that routing is a challenging problem in VANETs due to the fast-changing network typology caused by high mobility at both ends of transmission. Moreover, under urban environment, there are two non-negligible factors in routing protocol design, the non-uniform vehicle distribution caused by traffic lights, and the network congestion due to high traffic demand in rush hours. In this paper, we propose a greedy traffic light and queue aware routing protocol(GTLQR) which jointly considers the street connectivity, channel quality, relative distance, and queuing delay to alleviate the packet loss caused by vehicle clustering at the intersection and balance the traffic load among vehicles. Through performance evaluation, we show that our proposed protocol outperforms both TLRC and GLSR-L in terms of packet delivery ratio and end-to-end delay.展开更多
As Vehicle Ad Hoc Networks (VANETs) is part of the applications of the Internet of Things (IoT), and Vehicles in VANETs periodically broadcast the beacon message for status advertisement to provide public safety, the ...As Vehicle Ad Hoc Networks (VANETs) is part of the applications of the Internet of Things (IoT), and Vehicles in VANETs periodically broadcast the beacon message for status advertisement to provide public safety, the impacts of the network parameters on the reliability of broadcast messages are investigated and discussed; meanwhile, a cross-layer safety-critical broadcast service architecture is proposed to obtain an optimized set of packet loss rate and delay based on the Neural Networks (NN) and Back Propagation (BP) algorithm to dynamically adjust the transmission rate-power pairs. Simulation results illustrate that the proposed mechanism can effectively improve the reliability performance while maintaining the fairness among vehicles.展开更多
The highly mobility of vehicles, intermittent communication between the vehicles and the requirements of real time applications are some of the main challenges of multi-hop message delivery in Vehicular Ad Hoc Networ...The highly mobility of vehicles, intermittent communication between the vehicles and the requirements of real time applications are some of the main challenges of multi-hop message delivery in Vehicular Ad Hoc Networks （ VANETs ）. There are also additional challenges, especially when the destination for the message delivery is a moving vehicle. In this paper, we propose a novel multihop message delivery method, called the Coverage Area-based oPportunistic message forwarding algorithm （CAP）. The main idea of CAP is to cover the potential area of a moving target vehicle as much as possible with the reachable area of the required delivery messages, so that the message can be delivered successfully. Because the success ratio and overhead of the multi-hop message delivery are two important but incompatible parameters in CAP, two tunings are discussed in the algorithm in order to maintain the balance of the two parameters. The simulation results show that compared with other reference approaches, CAP provides an efficient message delivery with a higher success ratio and a shorter message deNNy.展开更多
The study of vehicular ad-hoc networks(VANETs)has received significant attention among academia;even so,its security and privacy still become a central issue that is wide-open to discuss.The authentication schemes dep...The study of vehicular ad-hoc networks(VANETs)has received significant attention among academia;even so,its security and privacy still become a central issue that is wide-open to discuss.The authentication schemes deployed in VANETs have a substantial impact on its security and privacy.Many researchers have proposed a variety of schemes related to the information verification and efficiency improvement in VANETs.In recent years,many papers have proposed identity-based batch verification(IBV)schemes in regard to diminishing overhead in the message verification process in VANETs.This survey begins with providing background information about VANETs and clarifying its security and privacy,as well as performance requirements that must be satisfied.After presenting an outlook of some relevant surveys of VANETs,a brief review of some IBV schemes published in recent years is conferred.The detailed approach of each scheme,with a comprehensive comparison between them,has been provided afterward.Finally,we summarize those recent studies and possible future improvements.展开更多
Location-based services(LBS)in vehicular ad hoc networks(VANETs)must protect users’privacy and address the threat of the exposure of sensitive locations during LBS requests.Users release not only their geographical b...Location-based services(LBS)in vehicular ad hoc networks(VANETs)must protect users’privacy and address the threat of the exposure of sensitive locations during LBS requests.Users release not only their geographical but also semantic information of the visited places(e.g.,hospital).This sensitive information enables the inference attacker to exploit the users’preferences and life patterns.In this paper we propose a reinforcement learning(RL)based sensitive semantic location privacy protection scheme.This scheme uses the idea of differential privacy to randomize the released vehicle locations and adaptively selects the perturbation policy based on the sensitivity of the semantic location and the attack history.This scheme enables a vehicle to optimize the perturbation policy in terms of the privacy and the quality of service(QoS)loss without being aware of the current inference attack model in a dynamic privacy protection process.To solve the location protection problem with high-dimensional and continuous-valued perturbation policy variables,a deep deterministic policy gradientbased semantic location perturbation scheme(DSLP)is developed.The actor part is used to generate continuous privacy budget and perturbation angle,and the critic part is used to estimate the performance of the policy.Simulations demonstrate the DSLP-based scheme outperforms the benchmark schemes,which increases the privacy,reduces the QoS loss,and increases the utility of the vehicle.展开更多
车联网节点高速移动、拓扑动态变化的特性给数据传输提出挑战。为此,充分利用车辆的移动模型、车辆速度和车辆密度等信息,提出了基于蚁群优化算法的移动感知区域VANET路由(Mobility Aware Zone based Ant Colony Optimization Routing f...车联网节点高速移动、拓扑动态变化的特性给数据传输提出挑战。为此,充分利用车辆的移动模型、车辆速度和车辆密度等信息,提出了基于蚁群优化算法的移动感知区域VANET路由(Mobility Aware Zone based Ant Colony Optimization Routing for VANET,MAZACORNET)。MAZACORNET属于多路径的混合路由协议。该协议首先利用蚁群优化算法在节点间寻找多路径,用以辅助断裂链路的数据传输。同时,将网络分为多个区域。在区域内使用先应式路由方案寻找路由,而区域间利用局部信息,引用反应式路由方案去建立路由,从而降低了数据风暴以及拥塞率。仿真结果表明,MAZACORNET在车辆密集环境表现出良好性能。与其他路由方案相比,MAZACORNET具有较高的数据传输率和较低的传输时延。展开更多
文摘在车载自组织VANETs中,为解决车辆间通信数据传输不流畅的问题。提出采用3G辅助VANETs的数据传输技术。在无法利用VANETs多跳通信传输数据时,启动3G传输,将此方案命名为3GDD,首先建立数据传输率和数据传输时延的效用函数,利用3G辅助VANETs数据传输实现最大化效用;其次,为了避开优化问题的复杂性,将原始的优化问题变换成整数线性规范问题ILP(integer linear programming problem);最后通过解决ILP,在不同时刻分配3G预算,并选择最不可能通过VANETs传输的数据用于3G传输。实验结果表明,提出的3GDD与同类的方案相比具有良好的性能。
基金supported by the Beijing University of Posts and Telecommunications project No.500418759the State Key Laboratory of Networking and Switching Technology project No.600118124
文摘Vehicular Ad-hoc Networks(VANETs) require reliable data dissemination for time-sensitive public safety applications. An efficient routing protocol plays a vital role to achieve satisfactory network performance. It is well known that routing is a challenging problem in VANETs due to the fast-changing network typology caused by high mobility at both ends of transmission. Moreover, under urban environment, there are two non-negligible factors in routing protocol design, the non-uniform vehicle distribution caused by traffic lights, and the network congestion due to high traffic demand in rush hours. In this paper, we propose a greedy traffic light and queue aware routing protocol(GTLQR) which jointly considers the street connectivity, channel quality, relative distance, and queuing delay to alleviate the packet loss caused by vehicle clustering at the intersection and balance the traffic load among vehicles. Through performance evaluation, we show that our proposed protocol outperforms both TLRC and GLSR-L in terms of packet delivery ratio and end-to-end delay.
基金supported by the 111 Project under Grant No.B08004the major project of Ministry of Industry and Information Technology of the People's Republic of China under Grant No.2010ZX03002-006China Fundamental Research Funds for the Central Universities
文摘As Vehicle Ad Hoc Networks (VANETs) is part of the applications of the Internet of Things (IoT), and Vehicles in VANETs periodically broadcast the beacon message for status advertisement to provide public safety, the impacts of the network parameters on the reliability of broadcast messages are investigated and discussed; meanwhile, a cross-layer safety-critical broadcast service architecture is proposed to obtain an optimized set of packet loss rate and delay based on the Neural Networks (NN) and Back Propagation (BP) algorithm to dynamically adjust the transmission rate-power pairs. Simulation results illustrate that the proposed mechanism can effectively improve the reliability performance while maintaining the fairness among vehicles.
基金The research was supported partially by the Major State Basic Research Development Program (973 Program) of China under Grant No.2009CB320504，the National High-tech Research and Development Program (863 Program) of China under Grant No.2011AA01A101，the National Natural Science Foundation of China under Grant No.61271041
文摘The highly mobility of vehicles, intermittent communication between the vehicles and the requirements of real time applications are some of the main challenges of multi-hop message delivery in Vehicular Ad Hoc Networks （ VANETs ）. There are also additional challenges, especially when the destination for the message delivery is a moving vehicle. In this paper, we propose a novel multihop message delivery method, called the Coverage Area-based oPportunistic message forwarding algorithm （CAP）. The main idea of CAP is to cover the potential area of a moving target vehicle as much as possible with the reachable area of the required delivery messages, so that the message can be delivered successfully. Because the success ratio and overhead of the multi-hop message delivery are two important but incompatible parameters in CAP, two tunings are discussed in the algorithm in order to maintain the balance of the two parameters. The simulation results show that compared with other reference approaches, CAP provides an efficient message delivery with a higher success ratio and a shorter message deNNy.
文摘The study of vehicular ad-hoc networks(VANETs)has received significant attention among academia;even so,its security and privacy still become a central issue that is wide-open to discuss.The authentication schemes deployed in VANETs have a substantial impact on its security and privacy.Many researchers have proposed a variety of schemes related to the information verification and efficiency improvement in VANETs.In recent years,many papers have proposed identity-based batch verification(IBV)schemes in regard to diminishing overhead in the message verification process in VANETs.This survey begins with providing background information about VANETs and clarifying its security and privacy,as well as performance requirements that must be satisfied.After presenting an outlook of some relevant surveys of VANETs,a brief review of some IBV schemes published in recent years is conferred.The detailed approach of each scheme,with a comprehensive comparison between them,has been provided afterward.Finally,we summarize those recent studies and possible future improvements.
基金This work was supported in part by National Natural Science Foundation of China under Grant 61971366 and 61771474,and in part by the Fundamental Research Funds for the central universities No.20720200077,and in part by Major Science and Technology Innovation Projects of Shandong Province 2019JZZY020505 and Key R&D Projects of Xuzhou City KC18171,and in part by NSF EARS-1839818,CNS1717454,CNS-1731424,and CNS-1702850.
文摘Location-based services(LBS)in vehicular ad hoc networks(VANETs)must protect users’privacy and address the threat of the exposure of sensitive locations during LBS requests.Users release not only their geographical but also semantic information of the visited places(e.g.,hospital).This sensitive information enables the inference attacker to exploit the users’preferences and life patterns.In this paper we propose a reinforcement learning(RL)based sensitive semantic location privacy protection scheme.This scheme uses the idea of differential privacy to randomize the released vehicle locations and adaptively selects the perturbation policy based on the sensitivity of the semantic location and the attack history.This scheme enables a vehicle to optimize the perturbation policy in terms of the privacy and the quality of service(QoS)loss without being aware of the current inference attack model in a dynamic privacy protection process.To solve the location protection problem with high-dimensional and continuous-valued perturbation policy variables,a deep deterministic policy gradientbased semantic location perturbation scheme(DSLP)is developed.The actor part is used to generate continuous privacy budget and perturbation angle,and the critic part is used to estimate the performance of the policy.Simulations demonstrate the DSLP-based scheme outperforms the benchmark schemes,which increases the privacy,reduces the QoS loss,and increases the utility of the vehicle.
文摘车联网节点高速移动、拓扑动态变化的特性给数据传输提出挑战。为此,充分利用车辆的移动模型、车辆速度和车辆密度等信息,提出了基于蚁群优化算法的移动感知区域VANET路由(Mobility Aware Zone based Ant Colony Optimization Routing for VANET,MAZACORNET)。MAZACORNET属于多路径的混合路由协议。该协议首先利用蚁群优化算法在节点间寻找多路径,用以辅助断裂链路的数据传输。同时,将网络分为多个区域。在区域内使用先应式路由方案寻找路由,而区域间利用局部信息,引用反应式路由方案去建立路由,从而降低了数据风暴以及拥塞率。仿真结果表明,MAZACORNET在车辆密集环境表现出良好性能。与其他路由方案相比,MAZACORNET具有较高的数据传输率和较低的传输时延。
