Software Defined Network-Based Multi-Access Edge Framework for Vehicular Networks
Vehicular networks aim to support cooperative warning applications that involve the dissemination of warning messages to reach vehicles in a target area. Due to the high mobility of vehicles, imperative technologies such as software-defined network (SDN) and edge computing (EC) have been proposed fo...
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IEEE
2020-01-01
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Series: | IEEE Access |
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Online Access: | https://ieeexplore.ieee.org/document/8945202/ |
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author | Lionel Nkenyereye Lewis Nkenyereye S. M. Riazul Islam Chaker Abdelaziz Kerrache M. Abdullah-Al-Wadud Atif Alamri |
author_facet | Lionel Nkenyereye Lewis Nkenyereye S. M. Riazul Islam Chaker Abdelaziz Kerrache M. Abdullah-Al-Wadud Atif Alamri |
author_sort | Lionel Nkenyereye |
collection | DOAJ |
description | Vehicular networks aim to support cooperative warning applications that involve the dissemination of warning messages to reach vehicles in a target area. Due to the high mobility of vehicles, imperative technologies such as software-defined network (SDN) and edge computing (EC) have been proposed for the next-generation vehicular networks. The SDN separates the control plane from data plane entities and executes the control plane software on general purpose hardware. On the other hand, EC aims to reduce the network latency and packet loss rate by pushing the computations to the edge of the network. Nevertheless, the current solutions that integrate SDN and EC could not satisfy the latency requirements for data dissemination of vehicle-to-everything (V2X) services. To bridge the gap between the two technologies, the conventional EC is enhanced to multi-access edge computing (MEC) by collocating the edge computing servers with the radio access networks. In order to improve the latency for V2X services, we propose in this paper, an SDN-based multi-access edge computing framework for the vehicular networks (SDMEV). In the proposed solution, two main algorithms are implemented. First, a fuzzy logic-based algorithm is used to select the head vehicle for each evolved node B (eNB) collocated with road-side unit (RSU) for the purpose of grouping vehicles based on their communication interfaces. Afterward, an OpenFlow algorithm is deployed to update flow tables of forwarding devices at forwarding layers. In addition, a case study is presented and evaluated using the object-oriented modular discrete event network (OMNeT++) simulation framework which includes the INET framework-based SDN. Simulation results depict that the data dissemination based-SDN supported by multi-access edge computing over SDMEV can improve the latency requirements for V2X services. |
first_indexed | 2024-12-19T08:35:36Z |
format | Article |
id | doaj.art-5ddeac1e51154ebb8d61bc2e3881162d |
institution | Directory Open Access Journal |
issn | 2169-3536 |
language | English |
last_indexed | 2024-12-19T08:35:36Z |
publishDate | 2020-01-01 |
publisher | IEEE |
record_format | Article |
series | IEEE Access |
spelling | doaj.art-5ddeac1e51154ebb8d61bc2e3881162d2022-12-21T20:29:03ZengIEEEIEEE Access2169-35362020-01-0184220423410.1109/ACCESS.2019.29629038945202Software Defined Network-Based Multi-Access Edge Framework for Vehicular NetworksLionel Nkenyereye0https://orcid.org/0000-0001-6714-4402Lewis Nkenyereye1https://orcid.org/0000-0002-8871-4299S. M. Riazul Islam2https://orcid.org/0000-0003-2968-9561Chaker Abdelaziz Kerrache3https://orcid.org/0000-0001-9990-519XM. Abdullah-Al-Wadud4https://orcid.org/0000-0001-6767-3574Atif Alamri5https://orcid.org/0000-0002-1887-5193Department of Computer Engineering, Dong-Eui University, Busan, South KoreaDepartment of Computer and Information Security, Sejong University, Seoul, South KoreaDepartment of Computer Science and Engineering, Sejong University, Seoul, South KoreaDepartment of Mathematics and Computer Science, University of Ghardaia, Ghardaia, AlgeriaDepartment of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi ArabiaDepartment of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi ArabiaVehicular networks aim to support cooperative warning applications that involve the dissemination of warning messages to reach vehicles in a target area. Due to the high mobility of vehicles, imperative technologies such as software-defined network (SDN) and edge computing (EC) have been proposed for the next-generation vehicular networks. The SDN separates the control plane from data plane entities and executes the control plane software on general purpose hardware. On the other hand, EC aims to reduce the network latency and packet loss rate by pushing the computations to the edge of the network. Nevertheless, the current solutions that integrate SDN and EC could not satisfy the latency requirements for data dissemination of vehicle-to-everything (V2X) services. To bridge the gap between the two technologies, the conventional EC is enhanced to multi-access edge computing (MEC) by collocating the edge computing servers with the radio access networks. In order to improve the latency for V2X services, we propose in this paper, an SDN-based multi-access edge computing framework for the vehicular networks (SDMEV). In the proposed solution, two main algorithms are implemented. First, a fuzzy logic-based algorithm is used to select the head vehicle for each evolved node B (eNB) collocated with road-side unit (RSU) for the purpose of grouping vehicles based on their communication interfaces. Afterward, an OpenFlow algorithm is deployed to update flow tables of forwarding devices at forwarding layers. In addition, a case study is presented and evaluated using the object-oriented modular discrete event network (OMNeT++) simulation framework which includes the INET framework-based SDN. Simulation results depict that the data dissemination based-SDN supported by multi-access edge computing over SDMEV can improve the latency requirements for V2X services.https://ieeexplore.ieee.org/document/8945202/Data disseminationsoftware-defined vehicular networkeNB-type RSUmulti-access edge computingvehicular ad hoc networkfuzzy clustering |
spellingShingle | Lionel Nkenyereye Lewis Nkenyereye S. M. Riazul Islam Chaker Abdelaziz Kerrache M. Abdullah-Al-Wadud Atif Alamri Software Defined Network-Based Multi-Access Edge Framework for Vehicular Networks IEEE Access Data dissemination software-defined vehicular network eNB-type RSU multi-access edge computing vehicular ad hoc network fuzzy clustering |
title | Software Defined Network-Based Multi-Access Edge Framework for Vehicular Networks |
title_full | Software Defined Network-Based Multi-Access Edge Framework for Vehicular Networks |
title_fullStr | Software Defined Network-Based Multi-Access Edge Framework for Vehicular Networks |
title_full_unstemmed | Software Defined Network-Based Multi-Access Edge Framework for Vehicular Networks |
title_short | Software Defined Network-Based Multi-Access Edge Framework for Vehicular Networks |
title_sort | software defined network based multi access edge framework for vehicular networks |
topic | Data dissemination software-defined vehicular network eNB-type RSU multi-access edge computing vehicular ad hoc network fuzzy clustering |
url | https://ieeexplore.ieee.org/document/8945202/ |
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