A semantics-based multi-agent framework for vehicular social network development

  • Authors:

  • Xiping Hu;Jidi Zhao;Dizhi Zhou;Victor C.M. Leung

  • Affiliations:

  • The University of British Columbia, Vancouver, BC, Canada;Shanghai Jiaotong University, Shanghai, China;University of New Brunswick, Fredericton, NB, Canada;The University of British Columbia, Vancouver, BC, Canada

  • Venue:
  • Proceedings of the first ACM international symposium on Design and analysis of intelligent vehicular networks and applications
  • Year:
  • 2011

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Abstract

This paper proposes a semantic-based multi-agent framework to support development of vehicular social network applications. In the programming model of the framework, software platforms of vehicular social network systems can be developed by the collaboration of mobile agents and service (or resident) agents, where resident agents provide application services on devices and mobile agents provide communication services on behalf of owner applications. On top of the device infrastructure, the architecture of the proposed framework consists of three layers: framework service layer, software agent layer and application layer, to fully support dynamic and collaborative tasks of vehicular social networks. The multi-layer architecture design of the framework fully supports self-adaptive applications in vehicular social network environments, and is readily extensible to support new features. Developers can easily and effectively develop diverse applications for the vehicular social networks.