"Wireless recommendations for internet of vehicles: Recent advances, ch" by Tan Li, Congduan Li et al.

Article Title

Wireless recommendations for internet of vehicles: Recent advances, challenges, and opportunities

Authors

Tan Li, the Department of Computer Science, City University of Hong Kong, Kowloon 999077, China City University of Hong Kong Shenzhen Research Institute, Shenzhen 518057, China.
Congduan Li, the School of Electronics and Communication Engineering, Sun Yat-sen University, Guangzhou 510275, China.
Jingjing Luo, the School of Electronic and Information Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, China.
Linqi Song, the Department of Computer Science, City University of Hong Kong, Kowloon 999077, China City University of Hong Kong Shenzhen Research Institute, Shenzhen 518057, China.

Keywords

Internet of Vehicles (IoV), wireless recommendations, interactions between communication and computation, edge computing

Abstract

Internet of Vehicles (IoV) is a distributed network of connected cars, roadside infrastructure, wireless communication networks, and central cloud platforms. Wireless recommendations play an important role in the IoV network, for example, recommending appropriate routes, recommending driving strategies, and recommending content. In this paper, we review some of the key techniques in recommendations and discuss what are the opportunities and challenges to deploy these wireless recommendations in the IoV.

DOI

https://doi.org/10.26599/ICN.2020.9070005

Publisher

Tsinghua University Press

Recommended Citation

Tan Li, Congduan Li, Jingjing Luo et al. Wireless recommendations for internet of vehicles: Recent advances, challenges, and opportunities. Intelligent and Converged Networks 2020, 1(1): 1-17.

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