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Mobility management on 5G Vehicular Cloud Computing systems

Authors:

Emmanouil Skondras,

Angelos Michalas,

Dimitrios D. VergadosAuthors Info & Claims

Volume 16, Issue C

Pages 15 - 44

https://doi.org/10.1016/j.vehcom.2019.01.001

Published: 01 April 2019 Publication History

Abstract

Fifth generation (5G) Vehicular Cloud Computing (VCC) systems use heterogeneous network access technologies to fulfill the requirements of modern services. Multiple services with different Quality of Service (QoS) constraints could be available in each vehicle, while at the same time, user requirements and provider policies must be addressed. Therefore, the design of efficient Vertical Handover (VHO) management schemes for 5G-VCC infrastructures is needed. In this paper, a novel VHO management scheme for 5G-VCC systems is proposed. Whenever the user satisfaction grade becomes less than a predefined threshold, VHO is initiated and network selection is performed, considering the velocity of the vehicle, network characteristic criteria such as throughput, delay, jitter and packet loss, as well as provider policy criteria such as service reliability, security and price. The proposed scheme uses linguistic values for VHO criteria attributes represented by Interval Valued Pentagonal Fuzzy Numbers (IVPFNs) to express the information using membership intervals. The VHO scheme is applied to a 5G-VCC system which includes 3GPP Long Term Evolution (LTE) and IEEE 802.16 Worldwide Interoperability for Microwave Access (WiMAX) Macrocells and Femtocells, as well as IEEE 802.11p Wireless Access for Vehicular Environment (WAVE) Road Side Units (RSUs). Performance evaluation shows that the suggested method ensures the Always Best Connection (ABC) principle, while at the same time outperforms existing VHO management schemes.

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Published In

cover image Vehicular Communications

Vehicular Communications Volume 16, Issue C

Apr 2019

94 pages

ISSN:2214-2096

EISSN:2214-2096

Issue’s Table of Contents

Copyright © 2019.

Publisher

Elsevier Science Publishers B. V.

Netherlands

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Published: 01 April 2019

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https://dl.acm.org/doi/10.3233/IDT-230467
Zhao S(2024)Optimization of artificial intelligence cloud computing in information management designIntelligent Decision Technologies10.3233/IDT-23045718:1(191-209)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.3233/IDT-230457
Velayuthapandian KVeyilraj MJayakumaraj M(2024)An intelligent parking allocation framework for digital society 5.0Intelligent Decision Technologies10.3233/IDT-23033918:3(2145-2159)Online publication date: 16-Sep-2024
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Chen ZGan WSun JWu JYu PChua TNgo CKumar RLauw HKa-Wei Lee R(2024)Open Metaverse: Issues, Evolution, and FutureCompanion Proceedings of the ACM Web Conference 202410.1145/3589335.3651898(1351-1360)Online publication date: 13-May-2024
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Zoumi ESkondras EVeliu DMichalas AVergados D(2020)A Load Balancing Algorithm for 5G Vehicular Cloud Computing SystemsProceedings of the 24th Pan-Hellenic Conference on Informatics10.1145/3437120.3437316(241-244)Online publication date: 20-Nov-2020
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