Research Output
An efficient algorithm for partially matched services in internet of services
  Internet of Things (IoT) connects billions of devices in an Internet-like structure. Each device encapsulated as a real-world service which provides functionality and exchanges information with other devices. This large-scale information exchange results in new interactions between things and people. Unlike traditional web services, internet of services is highly dynamic and continuously changing due to constant degrade, vanish and possibly reappear of the devices, this opens a new challenge in the process of resource discovery and selection. In response to increasing numbers of services in the discovery and selection process, there is a corresponding increase in number of service consumers and consequent diversity of quality of service (QoS) available. Increase in both sides’ leads to the diversity in the demand and supply of services, which would result in the partial match of the requirements and offers. This paper proposed an IoT service ranking and selection algorithm by considering multiple QoS requirements and allowing partially matched services to be counted as a candidate for the selection process. One of the applications of IoT sensory data that attracts many researchers is transportation especially emergency and accident services which is used as a case study in this paper. Experimental results from real-world services showed that the proposed method achieved significant improvement in the accuracy and performance in the selection process.

  • Type:

    Article

  • Date:

    11 May 2016

  • Publication Status:

    Published

  • Publisher

    Springer

  • DOI:

    10.1007/s00779-016-0917-9

  • Cross Ref:

    917

  • ISSN:

    1617-4909

  • Library of Congress:

    TJ Mechanical engineering and machinery

  • Dewey Decimal Classification:

    629.895 Computerized process control

  • Funders:

    Historic Funder (pre-Worktribe)

Citation

Ahmed, M., Liu, L., Hardy, J., Yuan, B., & Antonopoulos, N. (2016). An efficient algorithm for partially matched services in internet of services. Personal and Ubiquitous Computing, 20(3), 283-293. https://doi.org/10.1007/s00779-016-0917-9

Authors

Keywords

Emergency service selection, Quality of Service (QoS), Internet of Things (IoS), Emergency service ranking, Partial matching ,

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