• DocumentCode
    105296
  • Title

    QoS-Aware Scheduling of Services-Oriented Internet of Things

  • Author

    Ling Li ; Shancang Li ; Shanshan Zhao

  • Author_Institution
    Dept. of Inf. Technol./Decision Sci., Old Dominion Univ., Norfolk, VA, USA
  • Volume
    10
  • Issue
    2
  • fYear
    2014
  • fDate
    May-14
  • Firstpage
    1497
  • Lastpage
    1505
  • Abstract
    The Internet of Things (IoT) contains a large number of different devices and heterogeneous networks, which make it difficult to satisfy different quality of service (QoS) requirements and achieve rapid services composition and deployment. In addition, some services in service-oriented IoT are required to be reconfigurable and composable for QoS-aware services. This paper proposed a three-layer QoS scheduling model for service-oriented IoT. At application layer, the QoS schedule scheme explores optimal QoS-aware services composition by using the knowledge of each component service. At network layer, the model aims at dealing with scheduling of heterogeneous networks environment; at sensing layer, it deals with the information acquisition and resource allocation scheduling for different services. The proposed QoS-aware scheduling for service-oriented IoT architecture is able to optimize the scheduling performance of IoT network and minimize the resource costs.
  • Keywords
    Internet of Things; quality of service; scheduling; Internet of Things; QoS requirements; QoS-aware scheduling; QoS-aware services; QoS-aware services composition; application layer; component service; network layer; quality of service; resource cost minimization; scheduling performance; services-oriented IoT; three-layer QoS scheduling model; Accuracy; Decision making; Measurement; Quality of service; Radiofrequency identification; Wireless sensor networks; Internet of Things (IoT); quality of service (QoS); wireless sensor networks (WSNs);
  • fLanguage
    English
  • Journal_Title
    Industrial Informatics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1551-3203
  • Type

    jour

  • DOI
    10.1109/TII.2014.2306782
  • Filename
    6742598