A queueing analysis of the opportunistic vehicle-to-vehicle communication

Wenchao Xu, Song Guo, Haibo Zhou, Shiheng Ma, Mingli Wu

Research output: Unpublished conference presentation (presented paper, abstract, poster)Conference presentation (not published in journal/proceeding/book)Academic researchpeer-review

Abstract

The Vehicle-to-Vehicle (V2V) communication is critical in vehicular networks, besides the fact that it can enable the message sharing among neighboring vehicles, it can also help to relay neighbors' data content to remote destinations during the opportunistic V2V contacting period. The efficiency of V2V data pipe is affected drastically by the intermittent V2V connection, which requires a buffer queue to cache the data contents for random disruption and resuming of the transmission. In this paper, we propose a queueing theoretical framework to analysis the effectiveness of the opportunistic V2V communication, which captures the connection interruption due to the vehicle mobility and trades off between the V2V transmission effectiveness and average data service delay. An M/G/1/K queue model with service interruption is setup to analysis the relationship between how many data tasks can be fulfilled via V2V data pipe and the average time to accomplish the data service. We also consider two different resuming types, namely, resuming from beginning and resuming from break point. The proposed queueing framework is validated via simulation based on PTV VISSIM trace, which can provide guideline in design and development of future V2V communication protocols.

Original languageEnglish
Pages1-6
Number of pages6
DOIs
Publication statusPublished - Dec 2019
Event2019 IEEE Global Communications Conference, GLOBECOM 2019 - Waikoloa, United States
Duration: 9 Dec 201913 Dec 2019

Conference

Conference2019 IEEE Global Communications Conference, GLOBECOM 2019
CountryUnited States
CityWaikoloa
Period9/12/1913/12/19

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Information Systems
  • Signal Processing
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Media Technology
  • Health Informatics

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