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Privacy-preserving of platoon-based V2V in collaborative edge
Conference paper

Privacy-preserving of platoon-based V2V in collaborative edge

Te-Chuan Chiu, Junshan Zhang and Ai-Chun Pang
2017 2nd ACM/IEEE Symposium on Edge Computing, SEC 2017, a30
10/2017

Abstract

Fog/Edge Computing;Internet of Things;Platoon;Privacy-preserving;Vehicular Networks Computer Networks and Communications Hardware and Architecture

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.

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