Worst-case analysis of ethernet AVB in automotive system

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The existing in-vehicle networks are not capable of accommodating increased data in vehicle and the demand of bandwidth. Next generation networks require higher bandwidth and shorter latency. Therefore, inexpensive and high bandwidth ethernet have be studied. IEEE802.1 Audio Video Bridging (AVB) is the standard used to transmit Audio and Video streaming data with guaranteed Quality of Service (QoS). AVB can reserve network resources using IEEE 802.1 Qat protocol with low latency and periodic messages using traffic shaping. In addition, it can transmit streaming data with Credit based Shaping (CBS) algorithms. In this paper, we analyzed CBS algorithms. In addition, we measured the worst case in embedded system.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Information and Automation, ICIA 2015 - In conjunction with 2015 IEEE International Conference on Automation and Logistics
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1696-1699
Number of pages4
ISBN (Electronic)9781467391047
DOIs
StatePublished - 28 Sep 2015
Event2015 IEEE International Conference on Information and Automation, ICIA 2015 - In conjunction with 2015 IEEE International Conference on Automation and Logistics - Yunnan, China
Duration: 8 Aug 201510 Aug 2015

Publication series

Name2015 IEEE International Conference on Information and Automation, ICIA 2015 - In conjunction with 2015 IEEE International Conference on Automation and Logistics

Conference

Conference2015 IEEE International Conference on Information and Automation, ICIA 2015 - In conjunction with 2015 IEEE International Conference on Automation and Logistics
Country/TerritoryChina
CityYunnan
Period8/08/1510/08/15

Keywords

  • AVB
  • Credit Based Shaping
  • QoS
  • Worst-Case

Fingerprint

Dive into the research topics of 'Worst-case analysis of ethernet AVB in automotive system'. Together they form a unique fingerprint.

Cite this