车辆网络中实时的邻居位置获取协议

计算机与现代化

车辆网络中实时的邻居位置获取协议

上海交通大学电子信息与电气工程学院，上海200240

收稿日期:2013-12-06 出版日期:2014-04-17 发布日期:2014-04-23
作者简介:作者简介：邓左祥（1983），男，江西吉安人，上海交通大学电子信息与电气工程学院博士研究生，研究方向：车辆网络。

Realtime Neighbor Position Acquisition Protocol in Vehicular Networks

School of Electronic Information and Electrical Engineering, Shanghai Jiaotong University, Shanghai 200240, China

Received:2013-12-06 Online:2014-04-17 Published:2014-04-23

摘要/Abstract

摘要：

摘要：研究车辆网络的邻居位置获取问题，提出一种实时的邻居位置获取协议RNP。在RNP中，时间被分为一个个带时槽的时间帧。为了实现实时的邻居位置获取，RNP采取自适应的消息发送策略。通过理论分析，优化RNP的各个参数。基于真实车辆行驶数据的仿真实验表明，RNP优于其它方法。

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关键词: 车辆网络, 邻居位置获取, 自适应, 优化, 平均接收时间间隔

Abstract:

Abstract: The problem of neighbor position acquisition in vehicular networks is investigated. A realtime protocol called RNP for neighbor position acquisition is proposed. In RNP, time is divided into frames with some time slots. To achieve realtime neighbor position acquisition, RNP adopts an adaptive message transmission strategy. Based on an analytical framework, every parameter of RNP is optimized. Real tracedriven simulations are conducted. Performance results demonstrate that, RNP outperforms other alternative protocols.

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Key words:

Key words: vehicular networks, neighbor position acquisition, adaptive, optimization, average interreception time

中图分类号:

TP393

邓左祥. 车辆网络中实时的邻居位置获取协议[J]. 计算机与现代化.

DENG Zuoxiang. Realtime Neighbor Position Acquisition Protocol in Vehicular Networks[J]. Computer and Modernization.

参考文献

［1］

WHO. The World Health Report 2002Reducing Risks, Promoting Healthy Life［EB/OL］. http://www.who.int/whr/2002/en/, 20131206. 

［2］ Blincoe L, Seay A, Zaloshnja E, et al. The Economic Impact of Motor Vehicle Crashes,2000［R］. NHTSA Technical Report,DOT HS 809446, 2002.

［3］ Farnoud F, Valaee S. Reliable broadcast of safety messages in vehicular ad hoc networks［C］//IEEE INFOCOM. 2009:226234.

［4］ Zhang Yang, Zhao Jing, Cao Guohong. Roadcast: A popularity aware content sharing scheme in VANETs［C］//IEEE ICDCS. 2009:223230.

［5］ Hofmann B, Lichtenegger H, Collins J. GPS Theory and Practice［M］. New York: Springer, 2001.

［6］ Elbatt T, Goel S, Holland G, et al. Cooperative collision warning using dedicated short range wireless communications［C］//ACM VANET. 2006:19.

［7］ Jeong J, Guo Shuo, Gu Yu, et al. TBD: Trajectorybased data forwarding for lighttraffic vehicular networks［C］// IEEE ICDCS. 2009:231238.

［8］ Jeong J, Guo Shuo, Gu Yu, et al. TSF: Trajectorybased statistical forwarding for infrastructuretovehicle data delivery in vehicular networks［C］//IEEE ICDCS. 2010:557566.

［9］ Xu Q, Mark T, Ko J, et al. Layer2 protocol design for vehicle safety communications in dedicated short range communications spectrum［C］//Proceedings of the 7th International IEEE Conference on Intelligent Transportation Systems. 2004:10921097.

［10］ Xu Q, Mark T, Sengupta R. Medium access control protocol design for vehiclevehicle safety messages ［J］. IEEE Transactions on Vehicular Technology, 2007,56(2):499518. 

［11］Huang Hongyu, Luo Peien, Li Minglu, et al. Performance evaluation of SUVnet with realtime traffic data［J］. IEEE Transactions on Vehicular Technology, 2007,56(6):33813396.

［12］Zhu Hongzi, Li Minglu, Zhu Yanmin, et al. HERO: Online realtime vehicle tracking［J］. IEEE Transactions on Parallel and Distributed Systems, 2009,20(5):740752.

［13］Kunisch J, Pamp J. Wideband cartocar radio channel measurements and model at 5.9GHz［C］// IEEE VTC. 2008:15.

［14］Karedal J, Czink N, Paier A, et al. Path loss modeling for vehicletovehicle communications［J］. IEEE Transactions on Vehicular Technology, 2011,60(1):323328.

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