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| seer: trend-prediction-based geographic message forwarding in sparse vehicular networks | |
| Li Liqun; Sun Limin | |
| 2010 | |
| Conference Name | 2010 IEEE International Conference on Communications, ICC 2010 |
| Source | IEEE International Conference on Communications |
| Pages | - |
| Conference Date | 43974 |
| Conference Place | Cape Town, South africa |
| Publish Place | United States |
| ISSN | 5361486 |
| ISBN | 9781420000000 |
| Department | (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 |
| English Abstract | 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. |
| Keyword | Global Positioning System Locomotives Markov Processes Railroad Cars |
| Content Type | 会议论文 |
| URI | http://ir.iscas.ac.cn/handle/311060/8896 |
| Collection | 基础软件国家工程研究中心 |
| Recommended Citation GB/T 7714 | Li Liqun,Sun Limin. seer: trend-prediction-based geographic message forwarding in sparse vehicular networks[C]. United States,2010:-. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| trend-prediction-bas（301KB） | 开放获取 | -- | Application Full Text | |||
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