• DocumentCode
    651942
  • Title

    Distributed Resource Discovery in the Machine-to-Machine Applications

  • Author

    Meirong Liu ; Leppanen, Teemu ; Harjula, Erkki ; Zhonghong Ou ; Ylianttila, Mika ; Ojala, Timo

  • Author_Institution
    Dept. Comput. Sci. & Eng., Univ. of Oulu, Oulu, Finland
  • fYear
    2013
  • fDate
    14-16 Oct. 2013
  • Firstpage
    411
  • Lastpage
    412
  • Abstract
    One challenging problem in Machine-to-Machine (M2M) applications is to efficiently discover the resources provided by a huge number of heterogeneous devices. This paper proposes distributed resource discovery architecture (DRD) for M2M applications. The DRD supports heterogeneous devices in resource description registration and discovery of resource value. It achieves interoperability among heterogeneous devices in disparate networks and enables resource access from the Internet. In the DRD, a resource registration component is designed for storing resource descriptions, a resource discovery component is designed to retrieve resource values on behalf of clients after getting address information by looking up resource descriptions. The DRD utilizes a peer-to-peer overlay to distribute workload and avoid single point of failure. A real-world prototype is implemented and verified with a simple demo. Preliminary evaluation on response time of resource discovery is provided.
  • Keywords
    Internet; peer-to-peer computing; Internet; M2M applications; distributed resource discovery architecture; heterogeneous devices; interoperability; machine-to-machine applications; peer-to-peer overlay; real-world prototype; resource description registration; Internet; Peer-to-peer computing; Protocols; Prototypes; Time factors; Wireless communication; Wireless sensor networks; CoAP; Machine-to-Machine communication; distributed resource discovery; overlay;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mobile Ad-Hoc and Sensor Systems (MASS), 2013 IEEE 10th International Conference on
  • Conference_Location
    Hangzhou
  • Type

    conf

  • DOI
    10.1109/MASS.2013.46
  • Filename
    6680268