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author:

Ying, Zuobin (Ying, Zuobin.) [1] | Ma, Maode (Ma, Maode.) [2] | Zhao, Zijun (Zhao, Zijun.) [3] | Liu, Ximeng (Liu, Ximeng.) [4] | Ma, Jianfeng (Ma, Jianfeng.) [5]

Indexed by:

EI

Abstract:

As an emerging concept in the intelligent transportation system (ITS), Opportunistic Autonomous Vehicle Platoon (OAVP) enables autonomous vehicles to self-organize a temporary platoon and travel together. Whereas, electing the platoon leader is a crucial issue to be solved in this scenario. The platoon leader not only suffers from more wind resistance but also spends more computation resources in dealing with tremendous information obtained from the surrounding environment. Hence, vehicles tend to be a follower rather than a leader. In this paper, we propose a reputation-based leader election system for OAVP named RLE, which contains two sub-systems: leader election and incentive mechanism. In the former one, a reputation-based election scheme is first constructed to elect a relatively trustful leader according to the reputation value recorded on the blockchain. The proposed scheme integrates previous experience with recommendations from other members. In the second sub-system, an incentive mechanism is designed to stimulate platoon members to participate actively in the process of election, which is based on the recorded real-time fuel economy among vehicles participating in a platoon. Security analysis shows that the system is sufficient to deal with potential security threats. Experimental results based on the simulated platform demonstrate the practicality and feasibility of our solution. © 1967-2012 IEEE.

Keyword:

Autonomous vehicles Fuel economy Intelligent systems Intelligent vehicle highway systems Security systems

Community:

  • [ 1 ] [Ying, Zuobin]City University of Macau, Faculty of Data Science, 999078, China
  • [ 2 ] [Ying, Zuobin]Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore; 639798, Singapore
  • [ 3 ] [Ma, Maode]Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore; 639798, Singapore
  • [ 4 ] [Zhao, Zijun]Anhui University, School of Physical and Information Technology, Hefei; 230601, China
  • [ 5 ] [Liu, Ximeng]Fuzhou University, College of computer and big data, Fuzhou; 350108, China
  • [ 6 ] [Ma, Jianfeng]Anhui University, School of Physical and Information Technology, Hefei; 230601, China

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Source :

IEEE Transactions on Vehicular Technology

ISSN: 0018-9545

Year: 2022

Issue: 4

Volume: 71

Page: 3519-3532

6 . 8

JCR@2022

6 . 1 0 0

JCR@2023

ESI HC Threshold:66

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 17

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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