The Vehicular Social Network (VSN)-Based Sharing of Downloaded Geo Data Using the Credit-Based Clustering Scheme

被引:34
作者
Huang, Chung-Ming [1 ]
Chen, Yu-Fen [1 ]
Xu, Shouzhi [2 ]
Zhou, Huan [2 ]
机构
[1] Natl Cheng Kung Univ, Comp Sci & Informat Engn, Tainan 70101, Taiwan
[2] China Three Gorges Univ, Coll Comp & Informat Technol, Yichang 443002, Peoples R China
来源
IEEE ACCESS | 2018年 / 6卷
关键词
Clustering; credit; proximity service (ProSe); vehicular social network (VSN);
D O I
10.1109/ACCESS.2018.2873905
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper proposed a clustering scheme named as the credit-based clustering (CBC) scheme for point of interests' (POIs') geo data sharing in vehicular social network (VSN). In the proposed CBC scheme, a number of vehicles that belong to the same VSN can form a cluster to download POIs' geo data when they are approaching to a new set of POIs. One vehicle is selected as the cluster head to download POIs' geo data using its cellular network and shares the downloaded POIs' geo data to its cluster members using IEEE 802.11p network. This paper 1) uses GPS to get vehicles' locations to calculate the timing of triggering the clustering process, 2) proposes a clustering method to organize a group of vehicles that belong to the same VSN and are proximate with each other for a while during their touring to become a cluster, and 3) deploys a credit scheme to evaluate the credit that the cluster head can get and each cluster member needs to pay to encourage all vehicles to share POIs' geo data. The simulation results show that the proposed scheme can achieve the goal of fairness, the higher successful ratio of the complete sharing of downloaded POIs' geo data and the better receiving efficiency.
引用
收藏
页码:58254 / 58271
页数:18
相关论文
共 23 条
  • [1] AlMheiri S.M., 2015, 2015 ieee 8th gcc conference exhibition, P1, DOI DOI 10.1109/IEEEGCC.2015.7060048
  • [2] [Anonymous], 2012, International journal on advances in systems and measurements
  • [3] Chai R, 2014, 2014 9TH INTERNATIONAL CONFERENCE ON COMMUNICATIONS AND NETWORKING IN CHINA (CHINACOM), P187, DOI 10.1109/CHINACOM.2014.7054283
  • [4] A Comparative Survey of VANET Clustering Techniques
    Cooper, Craig
    Franklin, Daniel
    Ros, Montserrat
    Safaei, Farzad
    Abolhasan, Mehran
    [J]. IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2017, 19 (01): : 657 - 681
  • [5] Advances in Vehicular Ad-hoc Networks (VANETs): Challenges and Road-map for Future Development
    Eze, Elias C.
    Zhang, Si-Jing
    Liu, En-Jie
    Eze, Joy C.
    [J]. INTERNATIONAL JOURNAL OF AUTOMATION AND COMPUTING, 2016, 13 (01) : 1 - 18
  • [6] Hadded M, 2015, INT WIREL COMMUN, P285, DOI 10.1109/IWCMC.2015.7289097
  • [7] Katsikas L., 2015, P 2015 WORKSH NS 3, P25
  • [8] Liao Y., 2015, P IEEE S COMM VEH TE, P1
  • [9] Content Dissemination in Vehicular Social Networks: Taxonomy and User Satisfaction
    Mezghani, Farouk
    Dhaou, Riadh
    Nogueira, Michele
    Beylot, Andre-Luc
    [J]. IEEE COMMUNICATIONS MAGAZINE, 2014, 52 (12) : 34 - 40
  • [10] Incentive Mechanisms for Data Dissemination in Autonomous Mobile Social Networks
    Ning, Ting
    Liu, Yang
    Yang, Zhipeng
    Wu, Hongyi
    [J]. IEEE TRANSACTIONS ON MOBILE COMPUTING, 2017, 16 (11) : 3084 - 3099