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

Ing Chau Chang, Ching Ru Chang

研究成果: Conference contribution

摘要

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.

原文English
主出版物標題Proceedings - 2017 IEEE 8th International Conference on Awareness Science and Technology, iCAST 2017
發行者Institute of Electrical and Electronics Engineers Inc.
頁面456-461
頁數6
ISBN(電子)9781538629659
DOIs
出版狀態Published - 2017 七月 1
事件8th IEEE International Conference on Awareness Science and Technology, iCAST 2017 - Taichung, Taiwan
持續時間: 2017 十一月 82017 十一月 10

出版系列

名字Proceedings - 2017 IEEE 8th International Conference on Awareness Science and Technology, iCAST 2017
2018-January

Other

Other8th IEEE International Conference on Awareness Science and Technology, iCAST 2017
國家Taiwan
城市Taichung
期間17-11-0817-11-10

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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