KSII Transactions on Internet and Information Systems (TIIS)

Korean Society for Internet Information (한국인터넷정보학회)
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Research on a Mobile-aware Service Model in the Internet of Things

  • An, Jian (Department of Computer Science and Technology, Xi'an Jiaotong University, The Key Laboratory of Computer Network in Shaanxi Province) ;
  • Gui, Xiao-Lin (Department of Computer Science and Technology, Xi'an Jiaotong University, The Key Laboratory of Computer Network in Shaanxi Province) ;
  • Yang, Jian-Wei (Department of Computer Science and Technology, Xi'an Jiaotong University, The Key Laboratory of Computer Network in Shaanxi Province) ;
  • Zhang, Wen-Dong (Department of Computer Science and Technology, Xi'an Jiaotong University, The Key Laboratory of Computer Network in Shaanxi Province) ;
  • Jiang, Jin-Hua (Department of Computer Science and Technology, Xi'an Jiaotong University, The Key Laboratory of Computer Network in Shaanxi Province)
  • Received : 2012.11.06
  • Accepted : 2013.04.15
  • Published : 2013.05.30
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Abstract

Collaborative awareness between persons with various smart multimedia devices is a new trend in the Internet of Things (IoT). Because of the mobility, randomness, and complexity of persons, it is difficult to achieve complete data awareness and data transmission in IoT. Therefore, research must be conducted on mobile-aware service models. In this work, we first discuss and quantify the social relationships of mobile nodes from multiple perspectives based on a summary of social characteristics. We then define various decision factors (DFs). Next, we construct a directed and weighted community by analyzing the activity patterns of mobile nodes. Finally, a mobile-aware service routing algorithm (MSRA) is proposed to determine appropriate service nodes through a trusted chain and optimal path tree. The simulation results indicate that the model has superior dynamic adaptability and service discovery efficiency compared to the existing models. The mobile-aware service model could be used to improve date acquisition techniques and the quality of mobile-aware service in the IoT.

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