• DocumentCode
    1910704
  • Title

    PHINet: A Plug-n-Play Content-centric Testbed Framework for Health-Internet of Things

  • Author

    Seales, Clint ; Trung Do ; Belyi, Eugene ; Kumar, Suman

  • Author_Institution
    Dept. of Comput. Sci., Troy Univ., Troy, AL, USA
  • fYear
    2015
  • fDate
    June 27 2015-July 2 2015
  • Firstpage
    368
  • Lastpage
    375
  • Abstract
    Named Data Networking, a future networking paradigm, allows for features such as the naming of content for identification and routing as well as router-based caching for ubiquitous storage. These features are well suited for an Internet of Things (IoT) which can network identifiable and addressable electronic devices such as sensors that, in an IoT, are often configured in a Wireless Body Area Network. To bridge the gap between research approaches in the area of both Health-IoT and content centric networking, this paper presents the first content centric networking test bed framework called PHI Net for experimentation with Health-IoT. PHI Net aims to fulfill the following goals: ease of use, seamless scaling, support for testing, development and integration of health services and sensors, support for experimentation with live traffic underneath, and integration of the cloud into Health-IoT. Architecture, design, and implementation of PHI Net is presented. Furthermore, through several use cases, we demonstrate the applicability of the proposed work.
  • Keywords
    Internet of Things; health care; program testing; software architecture; Health-Internet of Things; Health-IoT; PHINet; health service; named data networking; plug-n-play content centric testbed framework; system architecture; Body area networks; Computer architecture; IP networks; Internet; Sensors; Servers; Wireless communication; Cloud; Health-IoT case studies; Internet of Things (IoT); Named Data Networking (NDN); Wireless Body Area Network (WBAN); health services; testbed;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mobile Services (MS), 2015 IEEE International Conference on
  • Conference_Location
    New York, NY
  • Print_ISBN
    978-1-4673-7283-1
  • Type

    conf

  • DOI
    10.1109/MobServ.2015.57
  • Filename
    7226713