Show simple item record

dc.contributor.authorGaladima Shehu, Umar
dc.contributor.authorAli Safdar, Ghazanfar
dc.contributor.authorEpiphaniou, Gregory
dc.date.accessioned2018-07-12T10:48:32Z
dc.date.available2018-07-12T10:48:32Z
dc.date.issued2015-02-28
dc.identifier.citationNetwork Aware Composition for Internet of Thing Services 2015, 3 (1) Transactions on Networks and Communications
dc.identifier.issn20547420
dc.identifier.doi10.14738/tnc.31.961
dc.identifier.urihttp://hdl.handle.net/2436/621490
dc.description.abstractTo enhance the adoption of Internet of Things (IoT) philosophy for the internet, research into IoT service composition has gathered momentum. In a distributed IoT environment, identifying IoT service among a set of similar service offerings that meets both functional and performance requirements of an IoT application has become important. However, the performance of a service cannot be guaranteed. Therefore service’s QoS and network characteristics are required to aggregate IoT services. Most existing composition approaches only consider non-network related QoS properties at the application tier. However they do not consider the network parameters such as network latency at the application level in selection and composition of services. Therefore we propose two evolutionary algorithms for IoT service composition that consider not only QoS but also network latency at the IoT application layer. The algorithms are discussed and results of evaluation are presented. The results indicate that our algorithms are efficient in finding QoS optimal and low latency solutions.
dc.language.isoen
dc.relation.urlhttp://scholarpublishing.org/index.php/TNC/article/view/961
dc.subjectInternet of Things
dc.subjectService Composition
dc.subjectQoS
dc.subjectNetwork latency
dc.subjectComposite service
dc.subjectEvolutionary Algorithm
dc.titleNetwork Aware Composition for Internet of Thing Services
dc.typeJournal article
dc.identifier.journalTransactions on Networks and Communications
html.description.abstractTo enhance the adoption of Internet of Things (IoT) philosophy for the internet, research into IoT service composition has gathered momentum. In a distributed IoT environment, identifying IoT service among a set of similar service offerings that meets both functional and performance requirements of an IoT application has become important. However, the performance of a service cannot be guaranteed. Therefore service’s QoS and network characteristics are required to aggregate IoT services. Most existing composition approaches only consider non-network related QoS properties at the application tier. However they do not consider the network parameters such as network latency at the application level in selection and composition of services. Therefore we propose two evolutionary algorithms for IoT service composition that consider not only QoS but also network latency at the IoT application layer. The algorithms are discussed and results of evaluation are presented. The results indicate that our algorithms are efficient in finding QoS optimal and low latency solutions.


This item appears in the following Collection(s)

Show simple item record