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Erschienen in: Mobile Networks and Applications 1/2019

12.10.2018

An IoT Service Aggregation Method Based on Dynamic Planning for QoE Restraints

verfasst von: Bing Jia, Lifei Hao, Chuxuan Zhang, Huili Zhao, Muhammad Khan

Erschienen in: Mobile Networks and Applications | Ausgabe 1/2019

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Abstract

With the rapid development of new internet technologies, i.e. Internet of Things (IoT), the amount of IoT services has grown dramatically. To make people easier and faster to utilize the service resources, it becomes more and more important to gather the services on the IoT. Most of the current methods can only create automatic or semi-automatic service composition schemes, and lack support and consideration of real-time data and instant situation information, so they cannot achieve dynamic adaptive aggregation of services. In this paper, we focus on both the functional and non-functional constrains, and propose an IoT service aggregation method based on dynamic planning oriented QoE constraint. Firstly, the knowledge model of relationship among service category concepts are constructed. Secondly, the aggregation problem of service categories is mapped to a dynamic programming problem based on the relationship between service composition, and a new semantic similarity computing method is used as the main basis for service selection by using the ontology of IoT service category. Finally, for the selection of specific service resources, a trend-aware service selection algorithm for the QoE multi-constrained measurement is proposed. Experimental results show that the proposed method has better performance in terms of recall and precision.

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Metadaten
Titel
An IoT Service Aggregation Method Based on Dynamic Planning for QoE Restraints
verfasst von
Bing Jia
Lifei Hao
Chuxuan Zhang
Huili Zhao
Muhammad Khan
Publikationsdatum
12.10.2018
Verlag
Springer US
Erschienen in
Mobile Networks and Applications / Ausgabe 1/2019
Print ISSN: 1383-469X
Elektronische ISSN: 1572-8153
DOI
https://doi.org/10.1007/s11036-018-1135-7

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