Delay analysis and time-critical protocol design for in-vehicle power line communication systems

Sheng, Zhengguo, Tian, Daxin, Leung, Victor and Bansal, Gaurav (2017) Delay analysis and time-critical protocol design for in-vehicle power line communication systems. IEEE Transactions on Vehicular Technology, 67 (1). pp. 3-16. ISSN 0018-9545

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With the emerging automated tasks in vehicle domain, the development of in-vehicle communications is increasingly important and subjected to new applications. The use of vehicular power lines has been a promising alternative to invehicle communications because of elimination of extra data cables. In this paper, we focus on the latest HomePlug Green PHY (HPGP) and explore its opportunity to support timecritical in-vehicle applications. Specifically, we apply Network Calculus to evaluate the worst access and queuing delay of various priority flows in vehicle bus networks. In order to maximize the bandwidth utility and satisfy the end-to-end hard delay requirements, we further propose a bandwidth efficient fair rate scheduling and delay sensitive traffic shaper. Performance evaluation supplemented by numerical and simulation results is also provided to show the advantage of HPGP and the proposed traffic shaper over the existing industry solutions.

Item Type: Article
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: 31 Oct 2017 10:28
Last Modified: 19 Jan 2018 12:57

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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
ehealth IoTUnsetUniversity of SussexABVF-009