Hdl Handle:
http://hdl.handle.net/10545/214435
Title:
Adaptive service discovery on service-oriented and spontaneous sensor systems
Authors:
Liu, Lu ( 0000-0003-1013-4507 ) ; Xu, Jie; Antonopoulos, Nikolaos; Li, Jianxin; Wu, Kaigu
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.
Affiliation:
University of Derby
Publisher:
Old City Publishing
Journal:
Adhoc & Sensor Wireless Networks
Issue Date:
6-Mar-2012
URI:
http://hdl.handle.net/10545/214435
Additional Links:
http://www.oldcitypublishing.com/journals/ahswn-home/ahswn-issue-contents/ahswn-volume-14-number-1-2-2012/ahswn-14-1-2-p-107-132/
Type:
Article
Language:
en
Description:
Service-oriented architecture, Spontaneous networks, Self-organisation, Self-configuration, Sensor systems, Social patterns
Appears in Collections:
Department of Electronics, Computing & Maths

Full metadata record

DC FieldValue Language
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.en
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
This item is licensed under a Creative Commons License
Creative Commons
All Items in UDORA are protected by copyright, with all rights reserved, unless otherwise indicated.