• DocumentCode
    1799062
  • Title

    Middleware framework for network virtualization in SHAAL

  • Author

    Khalid, Zubair ; Fisal, Norsheila ; Rozaini, Mohd ; Safdar, Hashim ; Ullah, Rahat ; Maqbool, Wajahat

  • Author_Institution
    Center of Excellence for Telecommun. Technol., Univ. Teknol. Malaysia (UTM), Skudai, Malaysia
  • fYear
    2014
  • fDate
    7-8 April 2014
  • Firstpage
    175
  • Lastpage
    179
  • Abstract
    Wireless Sensor Network (WSN) has led to a new paradigm of Internet of Things (IoT). WSNs are usually deployed for a particular application. However, the demand of WSNs in Smart Home and Ambient Assisted Living (SHAAL) is the accumulation and allocation of multiple resources providing diverse services and applications. Virtualization of a sensor network is an emerging technique that permits aggregation of several independent heterogeneous sensor networks. The technique of virtualization poses overhead challenges like more processing and power consumption. In this paper efforts have been put forward by proposing an energy aware middleware framework that resides on the sensor nodes to achieve network virtualization for SHAAL.
  • Keywords
    Internet of Things; assisted living; middleware; power aware computing; power consumption; resource allocation; wireless sensor networks; Internet of Things; IoT; SHAAL; WSN; energy aware middleware framework; independent heterogeneous sensor networks; middleware framework; network virtualization; power consumption; resource allocation; smart home-and-ambient assisted living; wireless sensor network; Computer applications; Energy efficiency; Hardware; Middleware; Sensors; Virtualization; Wireless sensor networks; Middleware; SHAAL; Virtual Sensor Networks (VSN); Wireless Sensor Network (WSN);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Applications and Industrial Electronics (ISCAIE), 2014 IEEE Symposium on
  • Conference_Location
    Penang
  • Print_ISBN
    978-1-4799-4352-4
  • Type

    conf

  • DOI
    10.1109/ISCAIE.2014.7010232
  • Filename
    7010232