Content aided clustering and cluster head selection algorithms in vehicular networks

Kai Zhang, Jingjing Wang, Chunxiao Jiang, Tony Q.S. Quek, Yong Ren

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

8 Citations (Scopus)

Abstract

Relying on clustering and the cluster head selection algorithms, vehicle-to-vehicle (V2V) and vehicle-to- infrastructure (V2I) based vehicular ad hoc networks (VANETs) play a critical role in intelligent transport system (ITS). However, the existing clustering and cluster head selection algorithms did not consider the influence of the vehicles' communication contents and their correlations. Specifically, the power-law characteristics of vehicle content demands are beneficial in terms both of achieving efficient clustering algorithm and selecting optimal cluster heads. In order to simulate the real vehicular communication scenarios, we commence with the mobility model design in this paper. Moreover, a novel clustering algorithm relying on content demands is proposed, which attracts vehicles to adopt V2V network through price advantage. Furthermore, based on the Fermi rule, i.e., one of the stochastic evolutionary strategies in complex networks, and evolution game, our cluster head selection algorithm is capable of representing more realistic vehicles' features, including selfishness, fairness and bounded rationality. Finally, the effectiveness and feasibility of our proposed algorithms are verified.

Original languageEnglish
Title of host publication2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509041831
DOIs
Publication statusPublished - 2017 May 10
Event2017 IEEE Wireless Communications and Networking Conference, WCNC 2017 - San Francisco, United States
Duration: 2017 Mar 192017 Mar 22

Publication series

NameIEEE Wireless Communications and Networking Conference, WCNC
ISSN (Print)1525-3511

Other

Other2017 IEEE Wireless Communications and Networking Conference, WCNC 2017
CountryUnited States
CitySan Francisco
Period17-03-1917-03-22

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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