SATR: Socially-aware trajectory-based routing in vehicular social networks

Ing Chau Chang, Ching Ru Chang

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

Abstract

In recent years, many packet forwarding protocols adopting the social concept have been proposed for vehicular social networks (VSN). However, these protocols do not consider that vehicle trajectory information and the social relationship between vehicles at different periods may be distinct significantly. In this paper, we propose the Socially-Aware Trajectory-based Routing (SATR) protocol, which analyzes vehicle trajectories and social relationships at different time intervals, designs the vehicle encounter graph and constructs the corresponding packet relay path graph to improve the performance of packet forwarding in VSN. We execute simulations for well-known trajectory-based and social-based routing protocols by the Opportunistic Network Environment (ONE) simulator under different parameter values. These results exhibit that SATR significantly improves low accuracies of social-based protocols to choose relay nodes and reduces high computation complexities of trajectory-based ones.

Original languageEnglish
Title of host publicationProceedings - 2017 IEEE 8th International Conference on Awareness Science and Technology, iCAST 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages456-461
Number of pages6
ISBN (Electronic)9781538629659
DOIs
Publication statusPublished - 2017 Jul 1
Event8th IEEE International Conference on Awareness Science and Technology, iCAST 2017 - Taichung, Taiwan
Duration: 2017 Nov 82017 Nov 10

Publication series

NameProceedings - 2017 IEEE 8th International Conference on Awareness Science and Technology, iCAST 2017
Volume2018-January

Other

Other8th IEEE International Conference on Awareness Science and Technology, iCAST 2017
CountryTaiwan
CityTaichung
Period17-11-0817-11-10

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Control and Optimization
  • Health Informatics

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