NLOS环境下的车辆位置信息协作式获取和验证方法  

Vehicular location acquisition and verification method based on cooperative approach in nonline-of-sight

作　　者：路璐[1] 凌捷[1] 

机构地区：[1]广东工业大学计算机学院,广州510003

出　　处：《计算机应用研究》2015年第4期1199-1202,共4页Application Research of Computers

基　　金：广东省自然科学基金重点项目(S2012020011071);广东省教育部产学研合作项目(2012B091000037;2012B091000041);广州市科技计划项目(2013J4300058)

摘　　要：车载网VANETs中网络服务和应用需不断交互车辆的位置信息,而节点之间的障碍物使两车间产生非视线距离NLOS(nonline of sight),同时也阻碍位置信息的交互。针对如何获取车辆可靠的位置信息,提出了一种位置信息协作式获取方法。首先在假设条件成立的情况下,建立车辆协作式位置信息获取模型,同时基于三角算法获取车辆位置信息;其次,设计协议算法对所获得的信息结合距离计算进行二次完整性验证;最后用仿真软件对所提出的位置信息获取和验证的算法分析,从感知率、信道利用率、发送成功率和响应时间等指标对算法进行了评价。仿真结果表明,NLOS环境下的车辆位置信息协作式获取和验证方法有利于维护NLOS环境下定位服务准确性,能够对所获取的信息进行正确性判断,有一定的借鉴价值。Interactions position information between vehicles are needed in Web service and application of VANETs（ vehicular Ad hoc networks）. Obstacle appears in two nodes,which leads to non line of sight distance NLOS appeared,at the same time,obstacle also hinders the interaction of position information. Aiming at how to obtain the reliable location information of the vehicle,this paper proposed a collaborative location information acquisition and verification method. Firstly,it established vehicle collaborative location information acquisition model in satisfied assumed conditions,and then acquired vehicle location information with triangle algorithm. Secondly,it designed protocol algorithm for information gained considering distance calculation for secondary integrity verification. Finally,it analysed the location information acquisition and verification approach of the proposed,and evaluated the algorithm with simulation software in awareness rate,efficiency of the channel and successful. The simulation results show that vehicle position information access and validation based on collaborative is conductive to maintaining positioning accuracy in the NLOS environment. The new algorithm determines acquired information is accurate or not,which has certain reference value.

关 键 词：位置信息 非视距 障碍物 车载网 

分 类 号：TP393.09[自动化与计算机技术—计算机应用技术]