An SDN empowered location aware routing for energy efficient next generation vehicular networks

Abstract With the ever expanding and all pervasive growth of information and communication technologies, vehicular ad‐hoc networks (VANETs) have been found wanting for sophistication. The fifth generation (5G) communication has brought about uncharted bandwidth capabilities SDN have enabled real tim...

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Main Authors: Kumari Renuka, Diptendu Sinha Roy, K. Hemant Kumar Reddy
Format: Article
Language:English
Published: Wiley 2021-02-01
Series:IET Intelligent Transport Systems
Online Access:https://doi.org/10.1049/itr2.12026
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spelling doaj-92382d2015744ed6865c29757e60b9282021-07-14T13:25:46ZengWileyIET Intelligent Transport Systems1751-956X1751-95782021-02-0115230831910.1049/itr2.12026An SDN empowered location aware routing for energy efficient next generation vehicular networksKumari Renuka0Diptendu Sinha Roy1K. Hemant Kumar Reddy2Software Engineer‐1 bigbasket.com Bangalore Karnataka IndiaComputer & Engineering National Institute Technology Meghalaya Shillong IndiaSchool of Computer Science National Institute Science & Technology Berhampur Odisha IndiaAbstract With the ever expanding and all pervasive growth of information and communication technologies, vehicular ad‐hoc networks (VANETs) have been found wanting for sophistication. The fifth generation (5G) communication has brought about uncharted bandwidth capabilities SDN have enabled real time network control while cloud and fog computing have brought unprecedented computation and storage capabilities for leveraging analytics on massive data volumes and bringing down response times. These information and communication technologies can effectively handle the challenges of next generation autonomous vehicular networks including maintaining road disciplines and safety in VANETs. Moreover, energy efficient operations is the key for any upcoming technology. To this end, this paper assumes the use of 5G and fog computing based vehicular network and using SDN controller's cognizance of global vehicular topology, it proposes an SDN enabled location‐aware routing that intelligently manages workload at fog nodes for reduced energy consumption while satisfying bandwidth and delay constraints. The VANET energy minimization has been formulated as an integer linear programming problem and simulations has been carried out to test the efficacy of the proposed model and the results shows the efficacy of the proposed model 15.74% of improvement of energy consumption as compared that of the optimal algorithm.https://doi.org/10.1049/itr2.12026
collection DOAJ
language English
format Article
sources DOAJ
author Kumari Renuka
Diptendu Sinha Roy
K. Hemant Kumar Reddy
spellingShingle Kumari Renuka
Diptendu Sinha Roy
K. Hemant Kumar Reddy
An SDN empowered location aware routing for energy efficient next generation vehicular networks
IET Intelligent Transport Systems
author_facet Kumari Renuka
Diptendu Sinha Roy
K. Hemant Kumar Reddy
author_sort Kumari Renuka
title An SDN empowered location aware routing for energy efficient next generation vehicular networks
title_short An SDN empowered location aware routing for energy efficient next generation vehicular networks
title_full An SDN empowered location aware routing for energy efficient next generation vehicular networks
title_fullStr An SDN empowered location aware routing for energy efficient next generation vehicular networks
title_full_unstemmed An SDN empowered location aware routing for energy efficient next generation vehicular networks
title_sort sdn empowered location aware routing for energy efficient next generation vehicular networks
publisher Wiley
series IET Intelligent Transport Systems
issn 1751-956X
1751-9578
publishDate 2021-02-01
description Abstract With the ever expanding and all pervasive growth of information and communication technologies, vehicular ad‐hoc networks (VANETs) have been found wanting for sophistication. The fifth generation (5G) communication has brought about uncharted bandwidth capabilities SDN have enabled real time network control while cloud and fog computing have brought unprecedented computation and storage capabilities for leveraging analytics on massive data volumes and bringing down response times. These information and communication technologies can effectively handle the challenges of next generation autonomous vehicular networks including maintaining road disciplines and safety in VANETs. Moreover, energy efficient operations is the key for any upcoming technology. To this end, this paper assumes the use of 5G and fog computing based vehicular network and using SDN controller's cognizance of global vehicular topology, it proposes an SDN enabled location‐aware routing that intelligently manages workload at fog nodes for reduced energy consumption while satisfying bandwidth and delay constraints. The VANET energy minimization has been formulated as an integer linear programming problem and simulations has been carried out to test the efficacy of the proposed model and the results shows the efficacy of the proposed model 15.74% of improvement of energy consumption as compared that of the optimal algorithm.
url https://doi.org/10.1049/itr2.12026
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