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题名:
seer: trend-prediction-based geographic message forwarding in sparse vehicular networks
作者: Li Liqun ; Sun Limin
会议文集: IEEE International Conference on Communications
会议名称: 2010 IEEE International Conference on Communications, ICC 2010
会议日期: 43974
出版日期: 2010
会议地点: Cape Town, South africa
关键词: Global positioning system ; Locomotives ; Markov processes ; Railroad cars
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
英文摘要: 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.
内容类型: 会议论文
URI标识: http://ir.iscas.ac.cn/handle/311060/8896
Appears in Collections:基础软件国家工程研究中心_会议论文

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Recommended Citation:
Li Liqun,Sun Limin. seer: trend-prediction-based geographic message forwarding in sparse vehicular networks[C]. 见:2010 IEEE International Conference on Communications, ICC 2010. Cape Town, South africa. 43974.
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