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dc.contributor.authorLiu, Lu
dc.contributor.authorXu, Jie
dc.contributor.authorAntonopoulos, Nikolaos
dc.contributor.authorLi, Jianxin
dc.contributor.authorWu, Kaigu
dc.date.accessioned2012-03-06T13:30:02Z
dc.date.available2012-03-06T13:30:02Z
dc.date.issued2012-03-06
dc.identifier.urihttp://hdl.handle.net/10545/214435
dc.descriptionService-oriented architecture, Spontaneous networks, Self-organisation, Self-configuration, Sensor systems, Social patternsen
dc.description.abstractNatural 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.
dc.language.isoenen
dc.publisherOld City Publishingen
dc.relation.urlhttp://www.oldcitypublishing.com/journals/ahswn-home/ahswn-issue-contents/ahswn-volume-14-number-1-2-2012/ahswn-14-1-2-p-107-132/en
dc.titleAdaptive service discovery on service-oriented and spontaneous sensor systemsen
dc.typeArticleen
dc.contributor.departmentUniversity of Derbyen
dc.identifier.journalAdhoc & Sensor Wireless Networksen
refterms.dateFOA2019-02-28T12:49:47Z
html.description.abstractNatural 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.


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