• DocumentCode
    170544
  • Title

    A Sociology-based interaction relationship model in IoT

  • Author

    Huijuan Zhang ; Yuji Shen

  • Author_Institution
    Sch. of Software Enginnering, Tongji Univ., Shanghai, China
  • fYear
    2014
  • fDate
    16-18 May 2014
  • Firstpage
    514
  • Lastpage
    518
  • Abstract
    Objects having social properties is a well explored field in Sociology and the idea has been introduced into the field of Internet of Things (IoT) recently. In this paper, the authors analyze some social features of IoT and propose a Sociology-based interaction relationship model between IoT objects. The relationship model, together with the automatic relationship recognition, can enhance the dynamics and the autonomy of communications in IoT. In the latter part of the paper, the authors give an experiment based on real data as a simple example to show how the paper´s idea reduces the dependency of IoT on human intervention and makes IoT objects more `smart´.
  • Keywords
    Internet; Internet of Things; social sciences computing; Internet of Things; IoT; automatic relationship recognition; social properties; sociology-based interaction relationship model; Analytical models; Context; Data mining; IEEE 802.11 Standards; Internet of Things; Social network services; Reality Mining; Relationship Recognition; Social Internet of Things; Wisdom Web of Things;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Progress in Informatics and Computing (PIC), 2014 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4799-2033-4
  • Type

    conf

  • DOI
    10.1109/PIC.2014.6972388
  • Filename
    6972388