Proximate Sharing of Downloaded Geo Data Using the Vehicular Social Network (VSN) Technique

Chung Ming Huang, Yu Fen Chen

Research output: Contribution to journalConference article

Abstract

This work proposed a clustering scheme for Point Of Interests' (POIs') geo data sharing in Vehicular Social Network (VSN). In the proposed scheme, some vehicles can form a cluster to downloaded POIs' geo data when they are approaching to a new set of POIs. One vehicle is chosen 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 work (1) uses GPS to get vehicles' locations to calculate the timing of triggering the clustering process, and (2) proposes a clustering method to organize a group of vehicles that are proximate with each other for a while during their touring to become a cluster. The simulation results show that the proposed scheme can have higher available distance and higher successful ratio of the complete sharing of downloaded POIs' geo data.

Original languageEnglish
Article number03007
JournalMATEC Web of Conferences
Volume210
DOIs
Publication statusPublished - 2018 Oct 5
Event22nd International Conference on Circuits, Systems, Communications and Computers, CSCC 2018 - Majorca, Spain
Duration: 2018 Jul 142018 Jul 17

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Materials Science(all)
  • Engineering(all)

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