Agile Data Offloading over Novel Fog Computing Infrastructure for CAVs

Andrea Tassi, Ioannis Mavromatis, Robert Piechocki, Andrew Nix, Christian Compton, Tracey Poole, Wolfgang Schuster

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

4 Citations (Scopus)
143 Downloads (Pure)

Abstract

Future Connected and Automated Vehicles (CAVs) will be supervised by cloud-based systems overseeing the overall security and orchestrating traffic flows. Such systems rely on data collected from CAVs across the whole city operational area. This paper develops a Fog Computing-based infrastructure for future Intelligent Transportation Systems (ITSs) enabling an agile and reliable off-load of CAV data. Since CAVs are expected to generate large quantities of data, it is not feasible to assume data off-loading to be completed while a CAV is in the proximity of a single Road-Side Unit (RSU). CAVs are expected to be in the range of an RSU only for a limited amount of time, necessitating data reconciliation across different RSUs, if traditional approaches to data off-load were to be used. To this end, this paper proposes an agile Fog Computing infrastructure, which interconnects all the RSUs so that the data reconciliation is solved efficiently as a by-product of deploying the Random Linear Network Coding (RLNC) technique. Our numerical results confirm the feasibility of our solution and show its effectiveness when operated in a large-scale urban testbed.
Original languageEnglish
Title of host publication2019 IEEE 89th Vehicular Technology Conference, VTC Spring 2019 - Proceedings
Subtitle of host publicationVTC2019-Spring
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages6
ISBN (Electronic)9781728112176
ISBN (Print)978-1-7281-1218-3
DOIs
Publication statusPublished - 27 Jun 2019
Event89th IEEE Vehicular Technology Conference, VTC Spring 2019 - Kuala Lumpur, Malaysia
Duration: 28 Apr 20191 May 2019

Publication series

NameVehicular Technology Conference (VTC Spring)
PublisherIEEE
ISSN (Print)1090-3038
ISSN (Electronic)2577-2465

Conference

Conference89th IEEE Vehicular Technology Conference, VTC Spring 2019
CountryMalaysia
CityKuala Lumpur
Period28/04/191/05/19

Keywords

  • Fog computing
  • ITS
  • CAV
  • V2X
  • Network coding
  • Data offloading

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  • IEEE Best Paper Award

    Tassi, A. (Recipient), Mavromatis, I. (Recipient), Piechocki, Robert J (Recipient), Nix, A. (Recipient), Compton, C. (Recipient), Pooley, T. (Recipient) & Schuster, W. (Recipient), 1 Apr 2019

    Prize: Prizes, Medals, Awards and Grants

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