Quality of service optimization in IoT driven intelligent transportation system

Sodhro, A. H., Obaidat, M. S., Abbasi, Q. H. , Pace, P., Pirbhulal, S., Yasar, A.-U.-H., Fortino, G., Imran, M. A. and Qaraqe, M. (2019) Quality of service optimization in IoT driven intelligent transportation system. IEEE Wireless Communications, 26(6), pp. 10-17. (doi:10.1109/MWC.001.1900085)

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Abstract

High mobility in ITS, especially V2V communication networks, allows increasing coverage and quick assistance to users and neighboring networks, but also degrades the performance of the entire system due to fluctuation in the wireless channel. How to obtain better QoS during multimedia transmission in V2V over future generation networks (i.e., edge computing platforms) is very challenging due to the high mobility of vehicles and heterogeneity of future IoT-based edge computing networks. In this context, this article contributes in three distinct ways: to develop a QoS-aware, green, sustainable, reliable, and available (QGSRA) algorithm to support multimedia transmission in V2V over future IoT-driven edge computing networks; to implement a novel QoS optimization strategy in V2V during multimedia transmission over IoT-based edge computing platforms; to propose QoS metrics such as greenness (i.e., energy efficiency), sustainability (i.e., less battery charge consumption), reliability (i.e., less packet loss ratio), and availability (i.e., more coverage) to analyze the performance of V2V networks. Finally, the proposed QGSRA algorithm has been validated through extensive real-time datasets of vehicles to demonstrate how it outperforms conventional techniques, making it a potential candidate for multimedia transmission in V2V over self-adaptive edge computing platforms.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Imran, Professor Muhammad and Abbasi, Dr Qammer
Authors: Sodhro, A. H., Obaidat, M. S., Abbasi, Q. H., Pace, P., Pirbhulal, S., Yasar, A.-U.-H., Fortino, G., Imran, M. A., and Qaraqe, M.
College/School:College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:IEEE Wireless Communications
Publisher:IEEE
ISSN:1536-1284
ISSN (Online):1558-0687
Published Online:20 December 2019
Copyright Holders:Copyright © 2019 IEEE
First Published:First published in IEEE Wireless Communications 26(6): 10-17
Publisher Policy:Reproduced in accordance with the publisher copyright policy

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