Dhawankar, Piyush, Raza, Mohsin, Le-Minh, Hoa and Aslam, Nauman (2017) Software-defined approach for communication in autonomous transportation systems. EAI Endorsed Transactions on Energy Web, 4 (12). ISSN 2032-944X
Full text not available from this repository. (Request a copy)Abstract
Autonomous driving technology offers a promising solution to reduce road accidents, traffic congestion, and fuel consumption. The management of vehicular networks is challenging as it demands mobility, location awareness, high reliability and low latency of data traffic. In this paper, we propose a novel communication architecture for vehicular network with 5G Mobile Networks and SDN technologies to support multiple core networks for autonomous vehicles and to tackle the potential challenges raised by the autonomous driving vehicles. Data requirements are evaluated for vehicular networks with respect to number of lanes and cluster size, to efficiently use the frequency and bandwidth. Also, the network latency requirements are analysed, which are mandatory constraints for all the applications where real time end-to-end communication is necessary. A test environment is also formulated to evaluate improvement in vehicular network using SDN-based approach over traditional core networks.
Item Type: | Article |
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Additional Information: | Publisher Copyright: © 2017 Piyush Dhawankar et al. |
Uncontrolled Keywords: | autonomous driving vehicles (advs),evolved packet core (epc),network function virtualization (nfv),on-board-units (obus),road-side-units (rsus),software defined network (sdn),vehicle-to-everything (v2x),vehicle-to-infrastructure (v2i),vehicleto-vehicle (v2v),control and systems engineering,information systems,renewable energy, sustainability and the environment,energy engineering and power technology,sdg 7 - affordable and clean energy,sdg 9 - industry, innovation, and infrastructure ,/dk/atira/pure/subjectarea/asjc/2200/2207 |
Faculty \ School: | Faculty of Science > School of Computing Sciences |
Related URLs: | |
Depositing User: | LivePure Connector |
Date Deposited: | 16 Jun 2025 10:30 |
Last Modified: | 27 Jun 2025 00:54 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/99526 |
DOI: | 10.4108/eai.14-7-2017.152924 |
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