• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2012, Vol. 34 ›› Issue (9): 123-127.

• 论文 • Previous Articles     Next Articles

IOT Semantic Community Evolution Model Based on Game Theory

WANG Yang,ZHANG Linjing,HUANG Yakun,ZHAO Chuanxin,CHEN Fulong   

  1. (School of Mathematics Computer Science,Anhui Normal University,Wuhu 241000,China)
  • Received:2012-04-13 Revised:2012-06-25 Online:2012-09-25 Published:2012-09-25

Abstract:

In order to discover the evolution principle of the semantic community in the Internet of things (IOT),a new semantic community evolution model based on game theory is proposed.The concept of the Internet of Thing Semantic Community (ITSC) and its characteristics are presented.Then a dynamic game theory based ITSC evolution model is proposed.The Semantic Community Preprocessing Algorithm (SCPA),the Game Node Strategy Selection Algorithm (GNSA) and the Game Theory based semantic community Evolution Algorithm (GTEA) are given.In addition,we also perform the performance analysis about these algorithms.The experiment results show that the proposed model can reflect the basic principle of the semantic community in the IOT. Meanwhile,the simulation results also indicate that the proposed algorithm is effective and feasible when the actual network data set is input.

Key words: Internet of things;semantic community;game theory;evaluate method