基于移动ad-hoc网络的车辆定位

当车辆不能通过GPS接收机获得自身位置信息时，就难以获得有用的交通提示风险服务.提出了一种新的基于车载移动ad-hoc网络车辆定位方法，该方法能够获取作为网络节点车辆的大致位置，并结合一种改进的警报信息优化传播算法，向即将处于危险或拥堵区域的不能通过GPS接收机定位的车辆发送警报信息.仿真实验表明只要车辆自组织网络中有40%的车辆可以获得GPS的定位信息，就可以将警报信息准确完整地送达处于网络中的所有车辆.当遇到浓雾天气、交通事故或者是其他拥塞时，该方法会防止车辆进一步拥堵并能提醒驾驶员防范危险.

Positioning of vehicles based on ad-hoc networks

When the vehicles cannot receive their own position information by GPS, it is hard to get useful tips on traffic risk. This paper proposes a new positioning method based on car mobile ad-hoc network, which can obtain approximate location of a car as a network node. This method uses an improved optimization propagation algorithm of alarm messages, which helps the vehicles that are in danger or traffic jam while can not position by GPS to receive alarm messages. Simulation test shows that if 40% of all vehicles in the network can receive positioning messages by GPS, all vehicles can correctly and completely get alarm messages. In the condition of fog, accident or other traffic jam, this method can stop vehicles from traffic jam and prevent drivers form being in an accident.