Publisher
Springer Science and Business Media LLC
Reference36 articles.
1. Sookhak, M., Yu, F. R., He, Y., Talebian, H., Sohrabi Safa, N., Zhao, N., Khan, M. K., & Kumar, N. (2017). Fog vehicular computing: Augmentation of fog computing using vehicular cloud computing. IEEE Vehicular Technology Magazine, 12(3), 55–64.
2. Zhang, K., Mao, Y., Leng, S., He, Y., & Zhang, Y. (2017). Mobile-edge computing for vehicular networks: A promising network paradigm with predictive off-loading. IEEE Vehicular Technology Magazine, 12(2), 36–44.
3. Raza, S., Wang, S., Ahmed, M., & Anwar, M. (2019). A survey on vehicular edge computing: Architecture, applications, technical issues, and future directions. Wireless Communications and Mobile Computing, 2019, 1–19.
4. Feng, J., Liu, Z., Wu, C., & Ji, Y. (2019). Mobile edge computing for the internet of vehicles: Offloading framework and job scheduling. IEEE Vehicular Technology Magazine, 14(1), 28–36.
5. Cordeschi, N., Amendola, D., & Baccarelli, E. (2015). Reliable adaptive resource management for cognitive cloud vehicular networks. IEEE Transactions on Vehicular Technology, 64(6), 2528–2537.