Poster abstract: Privacy-preserving of platoon-based V2V in collaborative edge

Te Chuan Chiu, Junshan Zhang, Ai Chun Pang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Next generation 5G cellular networks is designed as a device-centric architecture, which provides not only human-based services but also machine-Type communication (Internet of Things applications). To meet different kinds of next generation IoT service requirements such as automated driving, in this paper we discuss multiple automated vehicles, each of which owns processing and communication ability as a fog node and form into multiple groups as platoons to do pseudonym change procedure. Different from the traditional studies without platoon design concept, we consider "reaction time"- a practical platoon management factor which affecting intra-platoon spacing between the leading vehicle and the following vehicle, to tackle a platoon-Aware pseudonym change problem for jointly achieving privacy gains and traffic efficiency among multiple platoons' cooperation at the edge.

Original languageEnglish (US)
Title of host publication2017 2nd ACM/IEEE Symposium on Edge Computing, SEC 2017
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450350877
DOIs
StatePublished - Oct 12 2017
Event2nd IEEE/ACM Symposium on Edge Computing, SEC 2017 - San Jose, United States
Duration: Oct 12 2017Oct 14 2017

Publication series

Name2017 2nd ACM/IEEE Symposium on Edge Computing, SEC 2017

Other

Other2nd IEEE/ACM Symposium on Edge Computing, SEC 2017
Country/TerritoryUnited States
CitySan Jose
Period10/12/1710/14/17

Keywords

  • Fog/Edge Computing
  • Internet of Things
  • Platoon
  • Privacy-preserving
  • Vehicular Networks

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture

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