Worst-case access delay of HomePlug Green PHY (HPGP) for delay-critical in-vehicle applications

Sheng, Zhengguo, Özpolat, Mumin, Tian, Daxin, Leung, Victor and Nekovee, Maziar (2018) Worst-case access delay of HomePlug Green PHY (HPGP) for delay-critical in-vehicle applications. IEEE Global Communications Conference (GLOBECOM), Singapore, 5-8 December 2017. Published in: 2017 IEEE Global Communications Conference (GLOBECOM). Institute of Electrical and Electronics Engineers ISBN 9781509050192

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Abstract

The increasing complexity of automotive electronics has put considerable pressure on automotive communication networking to accommodate in-vehicle information flows. The use of power lines has been a promising alternative to in-vehicle communications because of elimination of extra data cables. In this paper, we focus on the latest HomePlug Green PHY (HPGP) which has been promoted by major automotive manufacturers for green communications with electric vehicles, and study its worst-case access delay performance in supporting delaycritical in-vehicle applications using both theoretical analysis and the simulation. Specifically, we apply Network Calculus as a deterministic modeling approach to evaluate the worst delay and further verify its performance using the OMNeT++ simulation. Evaluation results are also supplemented to compare with legacy methods and provide useful guidelines for developing HPGP based vehicular power line communication systems.

Item Type: Conference Proceedings
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Schools and Departments: School of Engineering and Informatics > Engineering and Design
Research Centres and Groups: Sensor Technology Research Centre
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101 Telecommunication Including telegraphy, telephone, radio, radar, television
Depositing User: Zhengguo Sheng
Date Deposited: 05 Jan 2018 12:02
Last Modified: 22 Jan 2018 12:45
URI: http://sro.sussex.ac.uk/id/eprint/72623

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Project NameSussex Project NumberFunderFunder Ref
Doing More with Less Wiring: Mission-Critical and Intelligent Communication Protocols for Future Vehicles Using Power LinesG2132EPSRC-ENGINEERING & PHYSICAL SCIENCES RESEARCH COUNCILEP/P025862/1
Bionic communications and networking for connected vehiclesG2114ROYAL SOCIETYIE160920