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ws 17(11): e5

Research Article

Software-Defined Management Model for Energy-Aware Vehicular Networks

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  • @ARTICLE{10.4108/eai.9-1-2017.152099,
        author={Elif Bozkaya and Berk Canberk},
        title={Software-Defined Management Model for Energy-Aware Vehicular Networks},
        journal={EAI Endorsed Transactions on Wireless Spectrum},
        volume={3},
        number={11},
        publisher={EAI},
        journal_a={WS},
        year={2017},
        month={1},
        keywords={Vehicular Networking, SDN, Energy Management, Kriging},
        doi={10.4108/eai.9-1-2017.152099}
    }
    
  • Elif Bozkaya
    Berk Canberk
    Year: 2017
    Software-Defined Management Model for Energy-Aware Vehicular Networks
    WS
    EAI
    DOI: 10.4108/eai.9-1-2017.152099
Elif Bozkaya1, Berk Canberk1,*
  • 1: Department of Computer Engineering, Istanbul Technical University, Ayazaga 34469, Istanbul-TURKEY
*Contact email: canberk@itu.edu.tr

Abstract

This paper investigates the energy efficiency of Road Side Units (RSUs) by proposing a novel flow and energy management model in Software-Defined Networking (SDN)-based vehicular networks. In the considered scenario, high vehicular mobility and limited coverage area of RSUs cause a degradation in Quality of Experience (QoE) of vehicles and this significantly affects the quality of communication by decreasing the percentage of flow satisfied. In addition, the growth in energy consumption of RSUs leads to inefficient network management. Being inspired from SDN, a centralized controller can schedule RSUs by providing a fair share of network resources and reduce the total energy consumption of RSUs by switching on/off. More specifically, in this paper, the controller classifies to vehicles based on QoE and defines unsatisfactory vehicles. Then the controller estimates the right amount of power level of these vehicles to connect a new assigned RSU. In this manner, RSUs can be scheduled by switching on/off so that the growth in energy consumption of RSUs can be managed. The evaluations show that the proposed model provides a better flow satisfied and throughput by guaranteeing energy efficiency in SDN-based vehicular networks.

Keywords
Vehicular Networking, SDN, Energy Management, Kriging
Received
2016-02-20
Accepted
2016-02-29
Published
2017-01-10
Publisher
EAI
http://dx.doi.org/10.4108/eai.9-1-2017.152099

Copyright © 2017 Navikkumar Modi et al., licensed to EAI. This is an open access article distributed under the terms of the Crea tiv e Commons Attribution license (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reprod uction in any medium so long as the original work is proper ly cited.

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