• DocumentCode
    1485938
  • Title

    GRS: The green, reliability, and security of emerging machine to machine communications

  • Author

    Lu, Rongxing ; Li, Xu ; Liang, Xiaohui ; Shen, Xuemin Sherman ; Lin, Xiaodong

  • Author_Institution
    Univ. of Waterloo, Waterloo, ON, Canada
  • Volume
    49
  • Issue
    4
  • fYear
    2011
  • fDate
    4/1/2011 12:00:00 AM
  • Firstpage
    28
  • Lastpage
    35
  • Abstract
    Machine-to-machine communications is characterized by involving a large number of intelligent machines sharing information and making collaborative decisions without direct human intervention. Due to its potential to support a large number of ubiquitous characteristics and achieving better cost efficiency, M2M communications has quickly become a market-changing force for a wide variety of real-time monitoring applications, such as remote e-healthcare, smart homes, environmental monitoring, and industrial automation. However, the flourishing of M2M communications still hinges on fully understanding and managing the existing challenges: energy efficiency (green), reliability, and security (GRS). Without guaranteed GRS, M2M communications cannot be widely accepted as a promising communication paradigm. In this article, we explore the emerging M2M communications in terms of the potential GRS issues, and aim to promote an energy-efficient, reliable, and secure M2M communications environment. Specifically, we first formalize M2M communications architecture to incorporate three domains - the M2M, network, and application domains - and accordingly define GRS requirements in a systematic manner. We then introduce a number of GRS enabling techniques by exploring activity scheduling, redundancy utilization, and cooperative security mechanisms. These techniques hold promise in propelling the development and deployment of M2M communications applications.
  • Keywords
    telecommunication network reliability; telecommunication security; GRS; GRS issues; M2M communications security; collaborative decision making; e-healthcare; environmental monitoring; industrial automation; intelligent machines; machine to machine communications; reliability; smart homes; Energy efficiency; Green products; Monitoring; Reliability; Security; Sensors; Servers;
  • fLanguage
    English
  • Journal_Title
    Communications Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0163-6804
  • Type

    jour

  • DOI
    10.1109/MCOM.2011.5741143
  • Filename
    5741143