Using the inter-contact time for planning the communication infrastructure in vehicular networks

Cristiano M. Silva, Daniel L. Guidoni, Fernanda S. Souza, Cristiano G. Pitangui, J. A.F.M. Sarubbi, Andre L.L. Aquino, Wagner Meira, Jose Marcos S. Nogueira, Andreas Pitsillides

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

9 Citations (Scopus)

Abstract

Intelligent Transportation Systems (ITS) demand sophisticated vehicular networks integrating entities from the transportation sector. The ability to plan and manage such networks represents a key challenge for moving ITS solutions from laboratories into the streets. In this work, we propose Gamma Deployment as a metric for evaluating the distribution of roadside units in vehicular networks by considering the inter-contact time between vehicles and infrastructure. By solving the location of roadside units in order to meet the Gamma Deployment, the network designer assures a given share of vehicles to keep frequent contacts with roadside units. Since Gamma Deployment reffects the connectivity experienced by drivers, it can be used for comparing vehicular networks deployed over distinct conditions.

Original languageEnglish
Title of host publication2016 IEEE 19th International Conference on Intelligent Transportation Systems, ITSC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2089-2094
Number of pages6
ISBN (Electronic)9781509018895
DOIs
Publication statusPublished - 22 Dec 2016
Externally publishedYes
Event19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016 - Rio de Janeiro, Brazil
Duration: 1 Nov 20164 Nov 2016

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC

Conference

Conference19th IEEE International Conference on Intelligent Transportation Systems, ITSC 2016
Country/TerritoryBrazil
CityRio de Janeiro
Period1/11/164/11/16

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

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