Lu Liu
Adaptive service discovery on service-oriented and spontaneous sensor systems
Liu, Lu; Xu, Jie; Antonopoulos, Nikolaos; Li, Jianxin; Wu, Kaigu
Authors
Jie Xu
Prof Nick Antonopoulos N.Antonopoulos@napier.ac.uk
Deputy Vice Chancellor and Vice Principal of Research & Innovation
Jianxin Li
Kaigu Wu
Abstract
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.
Citation
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
Journal Article Type | Article |
---|---|
Publication Date | Mar 6, 2012 |
Deposit Date | Feb 13, 2019 |
Journal | Adhoc & Sensor Wireless Networks |
Print ISSN | 1551-9899 |
Electronic ISSN | 1552-0633 |
Publisher | Old City Publishing |
Peer Reviewed | Peer Reviewed |
Volume | 14 |
Issue | 1-2 |
Pages | 107-132 |
Keywords | Service-oriented architecture, spontaneous networks, self-organization, self-configuration, sensor systems, social patterns |
Public URL | http://researchrepository.napier.ac.uk/Output/1557185 |
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