seer: trend-prediction-based geographic message forwarding in sparse vehicular networks

	seer: trend-prediction-based geographic message forwarding in sparse vehicular networks
	Li Liqun; Sun Limin
	2010
会议名称	2010 IEEE International Conference on Communications, ICC 2010
会议录名称	IEEE International Conference on Communications
页码	-
会议日期	43974
会议地点	Cape Town, South africa
出版地	United States
ISSN	5361486
ISBN	9781420000000
部门归属	(1) Institute of Software, Chinese Academy of Sciences, Graduate University of Chinese Academy of Sciences, Beijing, China; (2) Institute of Software, Chinese Academy of Sciences, Beijing, China
摘要	Geographic message forwarding in vehicular ad hoc networks (VANET) has attracted much attention and become one of the most promising research areas recent years. In this paper, inspired with the intuition that drivers route are with high regularity, we propose a prediction-based message forwarding strategy named Seer. Seer trains a 2nd-order Markov model based on long-term historic trip GPS data. Then probabilistic predictions about driving trend is made by looking at the intersections the driver just passed by. Seer can work without special service such as the traffic navigation systems and it can avoid leaking the position privacy of the driver. With extensive simulation in ONE, we show that Seer can achieve higher packet delivery ratio and lower delay, comparing with random or position-based message forwarding strategies. ©2010 IEEE.
关键词	Global Positioning System Locomotives Markov Processes Railroad Cars
内容类型	会议论文
URI标识	http://ir.iscas.ac.cn/handle/311060/8896
专题	基础软件国家工程研究中心
推荐引用方式 GB/T 7714	Li Liqun,Sun Limin. seer: trend-prediction-based geographic message forwarding in sparse vehicular networks[C]. United States,2010:-.

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