An improved multi-attribute decision-making based network selection algorithm for heterogeneous vehicular network

Lei NIE; Bo LIU; Peng LI; Heng HE; Libing WU

doi:10.1007/s11704-021-0053-1

Front. Comput. Sci. ›› 2022, Vol. 16 ›› Issue (3) : 163503 DOI: 10.1007/s11704-021-0053-1

Networks and Communication

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An improved multi-attribute decision-making based network selection algorithm for heterogeneous vehicular network

Lei NIE ¹^,²^,^†
, Bo LIU ¹^,²
, Peng LI ¹^,²
, Heng HE ¹^,²
, Libing WU ³^,⁴

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Lei NIE, Bo LIU, Peng LI, Heng HE, Libing WU. An improved multi-attribute decision-making based network selection algorithm for heterogeneous vehicular network. Front. Comput. Sci., 2022, 16(3): 163503 DOI:10.1007/s11704-021-0053-1

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References

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[1]	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

[2]	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

[3]	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

[4]	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,

[5]	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

[6]	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

[7]	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

[8]	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

[9]	Yu H W , Zhang B . A heterogeneous network selection algorithm based on network attribute and user preference. Ad Hoc Networks, 2018, 72 : 68– 80