Skip to main navigation Skip to search Skip to main content

Worst-Case Access Delay of HomePlug Green PHY (HPGP) for Delay-Critical In-Vehicle Applications

  • Zhengguo Sheng
  • , Müemin Öezpolat
  • , Daxin Tian
  • , Victor Leung
  • , Maziar Nekovee
  • Department of Engineering and Design
  • University of Sussex
  • Warwick Manufacturing Group
  • Department of Electrical and Computer Engineering
  • University of British Columbia

Research output: Contribution to journal › Conference article › peer-review

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 Delay-critical in-vehicle applications using both theoretical analysis and the simulation. Specifically, we apply Network Calculas 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.

Original languageEnglish
Pages (from-to)1-6
Number of pages6
JournalProceedings - IEEE Global Communications Conference, GLOBECOM
Volume2018-January
DOIs
StatePublished - 2017
Event2017 IEEE Global Communications Conference, GLOBECOM 2017 - Singapore, Singapore
Duration: 4 Dec 2017 → 8 Dec 2017

Keywords

  • Network Calculus
  • OMNeT++
  • Vehicular power line communications
  • delay analysis

Fingerprint

Dive into the research topics of 'Worst-Case Access Delay of HomePlug Green PHY (HPGP) for Delay-Critical In-Vehicle Applications'. Together they form a unique fingerprint.

Cite this