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

Journal
2nd ACM/IEEE Symposium on Edge Computing, SEC 2017
ISBN
9781450350877
Date Issued
2017
Author(s)
Chiu T.-C.
Zhang J.
AI-CHUN PANG  
DOI
10.1145/3132211.3132464
URI
https://scholars.lib.ntu.edu.tw/handle/123456789/413203
URL
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85039845213&doi=10.1145%2f3132211.3132464&partnerID=40&md5=f514dd71925ed3fab13a5e6975d8354c
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. ? 2017 ACM.
Subjects
Fog/Edge Computing
Internet of Things
Platoon
Privacy-preserving
Vehicular Networks
Type
conference paper

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