Normalized multi-dimensional parameter based affinity propagation clustering for cellular V2X

Takashi Koshimizu, Huan Wang, Zhenni Pan, Jiang Liu, Shigeru Shimamoto

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

This paper introduces a novel Vehicular Ad Hoc Networks (VANET) clustering scheme, titled 'Normalized MultiDimensional Parameter based Affinity Propagation Clustering (NMDP-APC).' The similarity function of NMPD-APC consists of normalized multi-dimensional parameters in order to represent VANET's motion dynamics. This similarity function is the key in the Affinity Propagation Clustering (APC) scheme to adequately representing the homogeneity of traffic dynamics of VANET. In contrast to the previous research on APC scheme for VANET, our proposal does not associate any un-stable future prediction term. We also applied recently introduced Cellular V2X radio capability in this study, which significantly contributed to the reduction of communication latency. In conducting simulations, Gazis-Herman-Rothery (GHR) car following model was applied on the real sampled traffic data. The simulation resulted remarkable effects on the normalized multidimensional parameters along with successful VANET clustering. The simulation also demonstrated required minimum number of iterations for the clustering and controllability of clustering granularity in the proposed NMDP-APC scheme on the real traffic data.

本文言語English
ホスト出版物のタイトル2018 IEEE Wireless Communications and Networking Conference, WCNC 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ1-6
ページ数6
ISBN(電子版)9781538617342
DOI
出版ステータスPublished - 2018 6 8
イベント2018 IEEE Wireless Communications and Networking Conference, WCNC 2018 - Barcelona, Spain
継続期間: 2018 4 152018 4 18

出版物シリーズ

名前IEEE Wireless Communications and Networking Conference, WCNC
2018-April
ISSN(印刷版)1525-3511

Other

Other2018 IEEE Wireless Communications and Networking Conference, WCNC 2018
国/地域Spain
CityBarcelona
Period18/4/1518/4/18

ASJC Scopus subject areas

  • 工学(全般)

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