ABSTRACT
Due to a vehicle terminal’s limited computing capacity against cloud computing, it is quite hard to meet the needs of certain services and applications, mainly for intensive types of computation, resulting in increased computation burden and delay, as well as increased energy consumption. MEC (Mobile Edge Computing) is a up to date architecture which extends the processing and the storage services to the network’s edge. It’s a cutting-edge technology that can serve many devices and services with ultra-low latency. For vehicle platooning a task offloading is analyzed in this paper.
- Franco Cicirelli, Antonio Guerrieri, Giandomenico Spezzano, Andrea Vinci, Orazio Briante, Antonio Iera, and Giuseppe Ruggeri. 2017. Edge computing and social internet of things for large-scale smart environments development. IEEE Internet of Things Journal 5, 4 (2017), 2557–2571.Google ScholarCross Ref
- Taiping Cui, Yuyu Hu, Bin Shen, and Qianbin Chen. 2019. Task offloading based on lyapunov optimization for mec-assisted vehicular platooning networks. Sensors 19, 22 (2019), 4974.Google ScholarCross Ref
- Salvatore Dabbene, Christopher Lehmann, Claudia Campolo, Antonella Molinaro, and Frank HP Fitzek. 2020. A MEC-assisted Vehicle Platooning Control through Docker Containers. In 2020 IEEE 3rd Connected and Automated Vehicles Symposium (CAVS). IEEE, 1–6.Google ScholarCross Ref
- Lucia D’Acunto, Jan Willem Kleinrouweler, Jeffrey Panneman, Alexandre Gabriel, Ajaya Adhikari, and Riccardo Satta. 2019. Prosuming live multimedia content in 5G-enabled smart cities. In Proceedings of the 10th ACM Multimedia Systems Conference. 312–315.Google ScholarDigital Library
- ISG ETSI. 2019. MEC 003 V2. 1.1 Multi-access Edge Computing (MEC); Framework and Reference Architecture. Group specification (2019).Google Scholar
- MECISG ETSI. 2016. Mobile Edge Computing (MEC); Framework and Reference Architecture GS MEC 003 V1. 1.1.Google Scholar
- Fabio Giust, Vincenzo Sciancalepore, Dario Sabella, Miltiades C Filippou, Simone Mangiante, Walter Featherstone, and Daniele Munaretto. 2018. Multi-access edge computing: The driver behind the wheel of 5G-connected cars. IEEE Communications Standards Magazine 2, 3 (2018), 66–73.Google ScholarCross Ref
- Ren-Hung Huang, Ben-Jye Chang, Yueh-Lin Tsai, and Ying-Hsin Liang. 2017. Mobile edge computing-based vehicular cloud of cooperative adaptive driving for platooning autonomous self driving. In 2017 IEEE 7th International Symposium on Cloud and Service Computing (SC2). IEEE, 32–39.Google ScholarCross Ref
- Qingmin Jia, Renchao Xie, Qinqin Tang, Xiaolu Li, Tao Huang, Jiang Liu, and Yunjie Liu. 2019. Energy-efficient computation offloading in 5G cellular networks with edge computing and D2D communications. IET Communications 13, 8 (2019), 1122–1130.Google ScholarDigital Library
- Shao-Yu Lien, Chih-Cheng Tseng, Ingrid Moerman, and Leonardo Badia. 2019. Recent advances in 5G technologies: New radio access and networking.Google Scholar
- Jose Manuel Lozano Dominguez and Tomas Jesus Mateo Sanguino. 2019. Review on V2X, I2X, and P2X Communications and Their Applications: A Comprehensive Analysis over Time. Sensors 19, 12 (2019), 2756.Google ScholarCross Ref
- Yuyi Mao, Changsheng You, Jun Zhang, Kaibin Huang, and Khaled B Letaief. 2017. A survey on mobile edge computing: The communication perspective. IEEE Communications Surveys & Tutorials 19, 4 (2017), 2322–2358.Google ScholarDigital Library
- Umberto Montanaro, Saber Fallah, Mehrdad Dianati, David Oxtoby, Tom Mizutani, and Alexandros Mouzakitis. 2018. Cloud-assisted distributed control system architecture for platooning. In 2018 21st International Conference on Intelligent Transportation Systems (ITSC). IEEE, 1258–1265.Google ScholarDigital Library
- Tiia Ojanperä, Hans Van Den Berg, Wieger IJntema, Ramon de Souza Schwartz, and Miodrag Djurica. 2018. Application synchronization among multiple MEC servers in connected vehicle scenarios. In 2018 IEEE 88th Vehicular Technology Conference (VTC-Fall). IEEE, 1–5.Google ScholarCross Ref
- Ashwini Patil and HK Sawant. 2012. Technical specification group services and system aspects IP multimedia subsystem (IMS). Int. J. Electron. Commun. Comput. Eng. 3, 2 (2012), 234–238.Google Scholar
- Michele Segata, Piermaria Arvani, and Renato Lo Cigno. 2021. A Critical Assessment of C-V2X Resource Allocation Scheme for Platooning Applications. In 2021 16th Annual Conference on Wireless On-demand Network Systems and Services Conference (WONS). IEEE, 1–8.Google ScholarCross Ref
- Gajewski Slawomir. 2017. Next generation ITS implementation aspects in 5G wireless communication network. In 2017 15th International Conference on ITS Telecommunications (ITST). IEEE, 1–7.Google ScholarCross Ref
- Soufian Toufga, Philippe Owezarski, Slim Abdellatif, and Thierry Villemur. 2017. An SDN hybrid architecture for vehicular networks: Application to Intelligent Transport System. arXiv preprint arXiv:1712.05307(2017).Google Scholar
- Tuyen X Tran and Dario Pompili. 2018. Joint task offloading and resource allocation for multi-server mobile-edge computing networks. IEEE Transactions on Vehicular Technology 68, 1 (2018), 856–868.Google ScholarCross Ref
- Antonio Virdis, Giovanni Nardini, and Giovanni Stea. 2019. A framework for MEC-enabled platooning. In 2019 IEEE Wireless Communications and Networking Conference Workshop (WCNCW). IEEE, 1–6.Google ScholarCross Ref
- Xiaojuan Wei, Shangguang Wang, Ao Zhou, Jinliang Xu, Sen Su, Sathish Kumar, and Fangchun Yang. 2017. MVR: An architecture for computation offloading in mobile edge computing. In 2017 IEEE International Conference on Edge Computing (EDGE). IEEE, 232–235.Google ScholarCross Ref
Index Terms
- An overview of Mobile Edge Computing in Vehicle Platooning
Recommendations
Modelling Task Offloading Mobile Edge Computing
ICCDE '22: Proceedings of the 2022 8th International Conference on Computing and Data EngineeringWith the rapid growth of mobile devices (such as smart phones and IoT devices) and the upcoming 5G era, it has been considered that edge computing will play a significant role, which together with the Cloud server forms the Mobile Edge Computing (MEC) ...
Mobile edge computing for V2X architectures and applications: A survey
AbstractIn mobile environments, with the help of larger bandwidths and cloud computing solutions, any task can be offloaded from a mobile user equipment to be handled remotely. However, even though this process is accelerated with every cellular ...
Providing Reliable Service for Parked-vehicle-assisted Mobile Edge Computing
Nowadays, a growing number of computation-intensive applications appear in our daily life. Those applications make the loads of both the core network and the mobile devices, in terms of energy and bandwidth, hugely increase. Offloading computation-...
Comments