TY - JOUR
T1 - Proximate Sharing of Downloaded Geo Data Using the Vehicular Social Network (VSN) Technique
AU - Huang, Chung Ming
AU - Chen, Yu Fen
N1 - Funding Information:
This research was supported by the Ministry Of Science and Technology (MOST), Taiwan (R.O.C.) under the grant number MOST 106-2221-E-006-02K.
Publisher Copyright:
© 2018 The Authors, published by EDP Sciences.
PY - 2018/10/5
Y1 - 2018/10/5
N2 - 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.
AB - 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.
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U2 - 10.1051/matecconf/201821003007
DO - 10.1051/matecconf/201821003007
M3 - Conference article
AN - SCOPUS:85055514258
SN - 2261-236X
VL - 210
JO - MATEC Web of Conferences
JF - MATEC Web of Conferences
M1 - 03007
T2 - 22nd International Conference on Circuits, Systems, Communications and Computers, CSCC 2018
Y2 - 14 July 2018 through 17 July 2018
ER -