• DocumentCode
    1618369
  • Title

    A Social Network Based Approach for IoT Device Management and Service Composition

  • Author

    Guo Chen ; Jiwei Huang ; Bo Cheng ; Junliang Chen

  • Author_Institution
    State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Nowadays, with the rapid development of hardware and network technologies, various types of smart devices are released by different vendors, resulting in the emergence of Internet of Things (IoT). However, most of the existing approaches for IoT device management are designed in a centralized way, whose efficiency meets challenges recently because of the large scale of heterogeneous device modules and highly dynamic essence of the networks. To tackle this challenge, we propose a distributed approach for IoT device management and service composition from a social network point of view. Specifically, we introduce Restful web service to encapsulate heterogeneous IoT device modules, providing uniform interfaces for IoT service invocation. According to the relationships between IoT devices, social network theory is applied to model IoT services in different dimensions. After fully considering the social properties, a flexible and scalable schemes for IoT service composition is designed to satisfactorily meet users´ requirements from several aspects. Finally, simulation experiments based on dataset from reality are conducted to validate the effectiveness of our approach.
  • Keywords
    Internet of Things; Web services; social networking (online); Internet of Things; IoT device management; distributed approach; heterogeneous device modules; restful Web service; service composition; social network based approach; Clustering algorithms; Correlation; Data structures; Encapsulation; Smart homes; Social network services; Web services;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Services (SERVICES), 2015 IEEE World Congress on
  • Conference_Location
    New York City, NY
  • Print_ISBN
    978-1-4673-7274-9
  • Type

    conf

  • DOI
    10.1109/SERVICES.2015.9
  • Filename
    7196496