• DocumentCode
    3281745
  • Title

    Energy-efficient distributed computing solutions for Internet of Things with ZigBee devices

  • Author

    Chmaj, Grzegorz ; Selvaraj, Henry

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Nevada Las Vegas, Las Vegas, NV, USA
  • fYear
    2015
  • fDate
    June 28 2015-July 1 2015
  • Firstpage
    437
  • Lastpage
    442
  • Abstract
    In recent years, we are witnessing a trend with increasing number of networked and computing-capable devices being integrated into everyday environment. This trend is expected to continue. With computing devices available as logic structures, they might use each other´s processing capabilities to achieve a given goal. In this paper, we propose an architecture to process tasks using distributed structure of Internet of Things devices. We also include ZigBee devices that are not connected to the Internet, but participate with the processing swarm using local network. This significantly extends the flexibility and potential of the IoT structure, while being still not a well-researched area. Unlike many high-level realizations for IoT processing, we present a realization operating on the communications, computing and near protocol level that achieves energy consumption efficiency. Our work is suitable to be the base for higher-level realizations, especially for systems with devices operating on battery power. At the same time, the architecture presented in this paper uses minimal centralization, moving maximum responsibilities to regular devices. The proposed realizations are described using linear programming models and their high efficiency is evaluated.
  • Keywords
    Internet of Things; Zigbee; energy consumption; linear programming; power aware computing; Internet of things; IoT structure; ZigBee devices; battery power; computing-capable devices; energy consumption efficiency; energy-efficient distributed computing solutions; everyday environment; linear programming models; logic structures; minimal centralization; networked devices; Algorithm design and analysis; Energy consumption; Heuristic algorithms; Internet of things; Sensors; Zigbee; Internet of Things; ZigBee; distributed computing; distributed processing; wearable;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Information Science (ICIS), 2015 IEEE/ACIS 14th International Conference on
  • Conference_Location
    Las Vegas, NV
  • Type

    conf

  • DOI
    10.1109/ICIS.2015.7166633
  • Filename
    7166633