• DocumentCode
    616048
  • Title

    Small-world networks empowered large machine-to-machine communications

  • Author

    Lei Gu ; Shih-Chun Lin ; Kwang-Cheng Chen

  • Author_Institution
    MediaV Massive Data Lab., Fudan Univ., Shanghai, China
  • fYear
    2013
  • fDate
    7-10 April 2013
  • Firstpage
    1558
  • Lastpage
    1563
  • Abstract
    Cloud-based machine-to-machine communications emerge to facilitate services through linkage between cyber and physical worlds. In addition to great challenges in a large network of machine/sensor swarm, effective network architecture involving interconnection of wireless infrastructure and multi-hop ad hoc networking in the machine swarm remains open. Inspired by the small-world phenomenon in social networks, we may establish a short-cut path under a heterogeneous network architecture through wireless infrastructure and cloud, by connecting to data aggregators or access points in the machine swarm, such that end-to-end delay can be significantly reduced. Our mathematical analysis on network diameter and average delay, along with verifications by simulations, demonstrate spectral and energy efficiency of our proposed heterogeneous network architecture in large machine-to-machine communication networks.
  • Keywords
    ad hoc networks; cloud computing; social networking (online); cloud-based machine-to-machine communications; machine/sensor swarm; multi-hop ad hoc networking; network architecture; small-world networks; social networks; wireless infrastructure; Ad hoc networks; Communication networks; Computer architecture; Delays; Upper bound; Wireless communication; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference (WCNC), 2013 IEEE
  • Conference_Location
    Shanghai
  • ISSN
    1525-3511
  • Print_ISBN
    978-1-4673-5938-2
  • Electronic_ISBN
    1525-3511
  • Type

    conf

  • DOI
    10.1109/WCNC.2013.6554795
  • Filename
    6554795