• DocumentCode
    3698480
  • Title

    Efficient, adaptive and scalable device activation for M2M communications

  • Author

    Arijit Banerjee;Binh Nguyen;Vijay Gopalakrishnan;Sneha Kasera;Seungjoon Lee;Jacobus Van der Merwe

  • Author_Institution
    School of Computing, University of Utah
  • fYear
    2015
  • fDate
    6/1/2015 12:00:00 AM
  • Firstpage
    399
  • Lastpage
    407
  • Abstract
    When traffic arrives from the network for an idled mobile device, the network executes device activation procedures to wake the device up. Current device activation mechanisms are ill suited to support the expected growth of machine-to-machine (M2M) devices and traffic. We propose an adaptive device activation architecture for LTE/EPC cellular networks that adapts to network conditions and M2M application requirements to realize scalable device activation without increasing the resources used for this purpose. Our evaluation shows that our adaptive approach enables the network to handle M2M applications with a large number of devices without negatively impacting existing human-to-human (H2H) and human-to-machine (H2M) traffic.
  • Keywords
    "Adaptive systems","Performance evaluation","Heuristic algorithms","Long Term Evolution","Conferences","Sensors","Servers"
  • Publisher
    ieee
  • Conference_Titel
    Sensing, Communication, and Networking (SECON), 2015 12th Annual IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/SAHCN.2015.7338340
  • Filename
    7338340