《计算机应用研究》|Application Research of Computers

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

免费全文下载 (已被下载 次)  
获取PDF全文
作者 路璐,凌捷
机构 广东工业大学 计算机学院,广州 510003
统计 摘要被查看 次,已被下载
文章编号 1001-3695(2015)04-1199-04
DOI 10.3969/j.issn.1001-3695.2015.04.056
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。
关键词 位置信息;非视距;障碍物;车载网
基金项目 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)
本文URL http://www.arocmag.com/article/01-2015-04-056.html
英文标题 Vehicular location acquisition and verification method based on cooperative approach in nonline-of-sight
作者英文名 LU Lu, LING Jie
机构英文名 School of Computer Science & Technology, Guangdong University of Technology, Guangzhou 510003, China
英文摘要 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.
英文关键词 location information; nonline of sight; obstacle; VANETs
参考文献 查看稿件参考文献
  [1] MERSHAD K, ARTAIL H, GERLA M. We can deliver messages to far vehicles[J] . IEEE Trans on Intelligent Transportation Systems, 2012, 13(3):1099-1115.
[2] AN N, GAUGEL T, HARTENSTEIN H. VANET:is 95% probability of packet reception safe[C] //Proc of the 11th International Conference on ITS Telecommunications. 2011:113-119.
[3] SIKDAR B. Comparison of broadcasting schemes for infrastructure to vehicular communications[J] . IEEE Trans on Intelligent Transportation Systems, 2012, 13(2):492-502.
[4] BOUKERCHE A, OLIVEIRA H, NAKAMURA E, et al. Secure localization algorithms for wireless sensor networks[J] . IEEE Communication Magazine, 2008, 46(4):96-101.
[5] LAZOS L, POOVENDRAN R, APKUN S. ROPE:robust position estimation in wireless sensor networks[C] //Proc of the 4th International Symposium on Information Processing in Sensor Networks. 2005:324-331.
[6] DU Wen-liang, FANG Lei, NING Peng. LAD:localization anomaly detection for wireless sensor networks[C] //Proc of the 19th IEEE International Parallel and Distributed Processing Symposium. [S. l. ] :IEEE Press, 2005:41.
[7] 徐会彬, 施星君, 任斌, 等. 基于车辆运动轨迹的 VANETs 位置验证[J] . 电子科技大学学报, 2013, 42(4):586-591.
[8] GENG Yi-shuang, HE Jie, PAHLAVAN K. Modeling the effect of human body on TOA based indoor human tracking[J] . International Journal of Wireless Information Networks, 2013, 20(4):306-317.
[9] 刘雪峰, 张玉清, 王鹤, 等. 一种后向撤销隐私安全的车载自组织网络快速匿名消息认证协议[J] . 电子与信息学报, 2014, 36(1):94-100.
[10] 杨杰, 冯勇, 郑雄奇, 等. 无线传感器与执行器网络中协同通信研究综述[J] . 计算机应用研究, 2014, 31(3):645-650.
[11] SASTRY N, SHANKAR U, WAGNER D. Secure verification of location claims[C] //Proc of the 2nd ACM Workshop on Wireless Security. 2003:1-10.
[12] SINGELEE D, PRENEEL B. Location verification using secure distance bounding protocols[C] //Proc of IEEE International Conference on Mobile Ad hoc and Sensor Systems. 2005:834-840.
[13] WEI Ya-wen, YU Zhen, GUAN Yong. Location verification algorithms for wireless sensor networks[C] //Proc of the 27th International Conference on Distributed Computing Systems. 2007:70-77.
[14] CAPKUN S, RASMUSSEN K B, CAGALJ M, et al. Secure location verification with hidden mobile base station[J] . IEEE Trans on Mobile Computing, 2008, 7(4):470-483.
[15] LIN Xiao-dong, LU Rong-xing, ZHANG Chen-xi, et al. Security in vehicular Ad hoc networks[J] . IEEE Communication Magazine, 2008, 46(4):88-95.
收稿日期 2014/2/23
修回日期 2014/4/1
页码 1199-1202
中图分类号 TP393.09
文献标志码 A