• DocumentCode
    130812
  • Title

    Complex network-based growth and evolution model for Internet of Things

  • Author

    Huijuan Zhang ; Miao Zhang

  • Author_Institution
    Sch. of Software Eng., Tongji Univ., Shanghai, China
  • fYear
    2014
  • fDate
    27-29 June 2014
  • Firstpage
    120
  • Lastpage
    123
  • Abstract
    Currently, there are lacks of relational networks consistent with the characteristics of IOT (Internet of Things). According this situation, this paper proposes a GEM model based on the analyses of the popular IoT theories and the corresponding modeling methods as well as the newest applications of the complex network theory. First, we establish an original growth model, then the model is modified and optimized according to some special characteristics of the practical IoT in terms of preferential attachment, communication difficulty and weighted connection. At last, simulation of the model proposed by this article indicates that this model yields the power-law distribution, strength of interactions and shows a good performance of community structure, which conforms to the development law of IoT.
  • Keywords
    Internet of Things; complex networks; network theory (graphs); GEM model; Internet of things; IoT theories; communication difficulty; community structure; complex network theory; complex network-based growth; development law; evolution model; interactions strength; power-law distribution; preferential attachment; weighted connection; Communities; Complex networks; Computational modeling; Internet of Things; Mathematical model; Probability distribution; Complex Network; Internet of Things; Network Modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2327-0586
  • Print_ISBN
    978-1-4799-3278-8
  • Type

    conf

  • DOI
    10.1109/ICSESS.2014.6933526
  • Filename
    6933526