seer: trend-prediction-based geographic message forwarding in sparse vehicular networks
文献类型：会议论文
| 作者 | Li Liqun ; Sun Limin |
| 出版日期 | 2010 |
| 会议名称 | 2010 IEEE International Conference on Communications, ICC 2010 |
| 会议日期 | 43974 |
| 会议地点 | Cape Town, South africa |
| 关键词 | Global positioning system Locomotives Markov processes Railroad cars |
| 页码 | - |
| 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. |
| 会议录 | IEEE International Conference on Communications
 |
| 会议录出版地 | United States |
| ISSN号 | 5361486 |
| ISBN号 | 9781420000000 |
| 源URL | [http://124.16.136.157/handle/311060/8896]  |
| 专题 | 软件研究所_基础软件国家工程研究中心_会议论文 |
| 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]. 见:2010 IEEE International Conference on Communications, ICC 2010. Cape Town, South africa. 43974. |
入库方式： OAI收割
来源：软件研究所
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