Research Output
Adaptive service discovery on service-oriented and spontaneous sensor systems
  Natural and man-made disasters can significantly impact both people and environments. Enhanced effect can be achieved through dynamic networking of people, systems and procedures and seamless integration of them to fulfil mission objectives with service-oriented sensor systems. However, the benefits of integration of services will not be realised unless we have a dependable method to discover all required services in dynamic environments. In this paper, we propose an Adaptive and Efficient Peer-to-peer Search (AEPS) approach for dependable service integration on service-oriented architecture based on a number of social behaviour patterns. In the AEPS network, the networked nodes can autonomously support and co-operate with each other in a peer-to-peer (P2P) manner to quickly discover and self-configure any services available on the disaster area and deliver a real-time capability by self-organising themselves in spontaneous groups to provide higher flexibility and adaptability for disaster monitoring and relief.

  • Type:


  • Date:

    06 March 2012

  • Publication Status:


  • Publisher

    Old City Publishing

  • ISSN:


  • Library of Congress:

    QA75 Electronic computers. Computer science

  • Dewey Decimal Classification:

    004 Data processing & computer science

  • Funders:

    Historic Funder (pre-Worktribe)


Liu, L., Xu, J., Antonopoulos, N., Li, J., & Wu, K. (2012). Adaptive service discovery on service-oriented and spontaneous sensor systems. Adhoc and Sensor Wireless Networks, 14(1-2), 107-132



Service-oriented architecture, spontaneous networks, self-organization, self-configuration, sensor systems, social patterns

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