Conclusion
This letter presents an improved MADM network selection algorithm based on comprehensive utility function for HVN. Compared with several other MADM based algorithms, the proposed one has fewer handovers, shorter handover delays, which alleviates the network load effectively. These make it is more suitable for HVN.
References
Qiu T, Liu X, Li K, Hu Q, Sangaiah A K, Chen N. Community-aware data propagation with small world feature for Internet of Vehicles. IEEE Communications Magazine, 2018, 56(1): 86–91
Liu H, Qiu T, Zhou X, Chen C, Chen N. Parking-area-assisted spider-web routing protocol for emergency data in urban VANET. IEEE Transactions on Vehicular Technology, 2020, 69(1): 971–982
Wu L, Wang J, Choo K R, He D. Secure key agreement and key protection for mobile device user authentication. IEEE Transactions on Information Forensics and Security, 2019, 14(2): 319–330
Liu K, Xiao K, Dai P, Lee V, Cao J. Fog computing empowered data dissemination in software defined heterogeneous VANETs. IEEE Transactions on Mobile Computing, 2020
Liu C, Liu K, Guo S, Xie R, Lee V C S, Son S H. Adaptive offloading for time-critical tasks in heterogeneous Internet of Vehicles. IEEE Internet of Things Journal, 2020, 7(9): 7999–8011
Zeng D, Gu L, Pan S, Cai J, Guo S. Resource management at the network edge: a deep reinforcement learning approach. IEEE Network, 2019, 33(3): 26–33
Gu L, Zeng D, Tao S, Guo S, Jin H, Zomaya A Y, Zhuang W. Fairness-aware dynamic rate control and flow scheduling for network utility maximization in network service chain. IEEE Journal on Selected Areas in Communications, 2019, 37(5): 1059–1071
Jiang D, Huo L, Lv Z, Song H, Qin W. A joint multi-criteria utility-based network selection approach for vehicle-to-infrastructure networking. IEEE Transactions on Intelligent Transportation Systems, 2018, 19(10): 3305–3319
Yu H W, Zhang B. A heterogeneous network selection algorithm based on network attribute and user preference. Ad Hoc Networks, 2018, 72: 68–80
Acknowledgements
This work was supported in part by the National Natural Science Foundation of China (Grant Nos. 61802286, 61602351, U20A20177, 61772377, 91746206), the Fundamental Research Funds for the Central Universities (2042020kf0217), and Science and Technology planning project of ShenZhen (JCYJ20170818112550194).
Author information
Authors and Affiliations
Corresponding author
Additional information
Supporting Information
The supporting information is available online at journal.hep.com.cn and link.springer.com.
Rights and permissions
About this article
Cite this article
Nie, L., Liu, B., Li, P. et al. An improved multi-attribute decision-making based network selection algorithm for heterogeneous vehicular network. Front. Comput. Sci. 16, 163503 (2022). https://doi.org/10.1007/s11704-021-0053-1
Received:
Accepted:
Published:
DOI: https://doi.org/10.1007/s11704-021-0053-1