1. A collective filtering based content transmission scheme in edge of vehicles.
- Author
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Wang, Xiaojie, Feng, Yufan, Ning, Zhaolong, Hu, Xiping, Kong, Xiangjie, Hu, Bin, and Guo, Yi
- Subjects
- *
MARKOV processes , *INTERNET , *SOCIAL interaction , *MOBILE apps , *VEHICLES - Abstract
With the emergence of the ever-increasing vehicular applications and booming Internet services, the requirements of low-latency and high efficient transmission among vehicles become urgent to meet, and their corresponding solutions need to be well investigated. To resolve the above challenges, we propose a fog computing-based content transmission scheme with collective filtering in edge of vehicles. We first provide a system model based on fog-based rode side units by considering location-awareness, content-caching and decentralized computing. Then, a content-caching strategy in RSUs is designed to minimize the downloading latency. Specifically, we model the moving vehicles with the two-dimensional Markov chains, and calculate the probabilities of file caching in RSUs to minimize the latency in file downloading. Each vehicle can also maintain a neighbor list to record the encounters with high similarities, and update it based on the historic and real-time contacts. Finally, we carry on the experiments based on the real-world taxi trajectories in Beijing and Shanghai, China. Simulation results demonstrate the effectiveness of our proposed method. [ABSTRACT FROM AUTHOR]
- Published
- 2020
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