车载网络通过移动车辆的无线通信装置实现数据共享,是未来智能交通系统中的重要技术。传统的车载网络数据分发大多基于泛洪的传染扩散方法,其虽能适应网络的拓扑动态性,却无法达到高效和实用的目的。提出了一种适用于车载机会网络的自...车载网络通过移动车辆的无线通信装置实现数据共享,是未来智能交通系统中的重要技术。传统的车载网络数据分发大多基于泛洪的传染扩散方法,其虽能适应网络的拓扑动态性,却无法达到高效和实用的目的。提出了一种适用于车载机会网络的自适应拷贝数据分发算法ACS(Adaptive Copy and Spreading),它通过车辆移动参数(如方向、速度)动态计算所需分发数据的拷贝数并确定消息删除策略。仿真结果表明,ACS算法相比随机选择分发算法和传染扩散算法降低了对网络资源的需求,适用于多种应用场景。展开更多
Vehicular Ad-Hoc Networks (VANET) is a research venue that promises for many useful applications. Most of these applications require a precise real-time positioning system for each vehicle. However, practically the ex...Vehicular Ad-Hoc Networks (VANET) is a research venue that promises for many useful applications. Most of these applications require a precise real-time positioning system for each vehicle. However, practically the existing tecniques are still not accurate and hence not suitable for some critical applications. In this paper, we will focus on the most critical ones which are the collision avoidance, and collision warning, or lane-tracking. Collision occurs when the distance between nearby vehicles decreases rapidly. Hence, an accurate and precise knowledge of the distance among each vehicle and all the surrounding vehicles has to be obtained to enable a realistic collision avoidance service. We propose to use the carbon nanotube network (CNT) integrated with other nano-devices that can provide accuracy in the order of millimeters. In this paper, theoretical investigations and mathematical formulations are presented. The obtained results show the effectiveness and accuracy of the proposed methodology.展开更多
文摘车载网络通过移动车辆的无线通信装置实现数据共享,是未来智能交通系统中的重要技术。传统的车载网络数据分发大多基于泛洪的传染扩散方法,其虽能适应网络的拓扑动态性,却无法达到高效和实用的目的。提出了一种适用于车载机会网络的自适应拷贝数据分发算法ACS(Adaptive Copy and Spreading),它通过车辆移动参数(如方向、速度)动态计算所需分发数据的拷贝数并确定消息删除策略。仿真结果表明,ACS算法相比随机选择分发算法和传染扩散算法降低了对网络资源的需求,适用于多种应用场景。
文摘Vehicular Ad-Hoc Networks (VANET) is a research venue that promises for many useful applications. Most of these applications require a precise real-time positioning system for each vehicle. However, practically the existing tecniques are still not accurate and hence not suitable for some critical applications. In this paper, we will focus on the most critical ones which are the collision avoidance, and collision warning, or lane-tracking. Collision occurs when the distance between nearby vehicles decreases rapidly. Hence, an accurate and precise knowledge of the distance among each vehicle and all the surrounding vehicles has to be obtained to enable a realistic collision avoidance service. We propose to use the carbon nanotube network (CNT) integrated with other nano-devices that can provide accuracy in the order of millimeters. In this paper, theoretical investigations and mathematical formulations are presented. The obtained results show the effectiveness and accuracy of the proposed methodology.
文摘针对车载自组网(vehicular ad-hoc network,VANET)中多个恶意节点合谋的虚假数据攻击问题,提出了联盟博弈的虚假数据检测策略。该策略利用合作节点测量的无线信号强度进行交叉位置验证,发现伪造位置的恶意节点及其注入的虚假信息。为降低节点自私行为对检测准确性的影响,提出了满足"核"分配条件的收益分配函数激励节点加入联盟;证明了该函数满足个体理性条件和有效性条件,节点的最优策略是选择合作,形成的联盟具有稳定性。仿真结果表明:该策略能够有效激励节点合作,降低无线信号强度的随机偏差对位置验证准确性的影响,获得了超过90%的虚假位置检测率,并进一步增强了系统的抗合谋攻击能力,在不同的恶意节点比例下虚假告警消息检测率比基于表决的攻击者本地驱逐协议(local eviction of attackers by voting evaluators,LEAVE)提高了69.3%。
