Testing Dynamic Composition of Semantic Internet of Things Services Based on QoS

Semantic internet of things is a solution to the inherent contradiction of IoT (Internet of Things), that is, the diversity of objects and the limitation of subjects. The most prominent feature of semantic IoT service is to use ontology for semantic annotation and support understanding, and to use &...

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Bibliographic Details
Published inIEEE access Vol. 7; pp. 113103 - 113113
Main Authors He, Yang, Chen, Jincai, Lu, Ping
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Annotations
Composition
dynamic composition
Internet of Things
Internet of Things Systems
Ontologies
Prototypes
QoS
Quality of service
semantic analysis
Semantic Web
Semantics
Testing
Web services
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Summary:Semantic internet of things is a solution to the inherent contradiction of IoT (Internet of Things), that is, the diversity of objects and the limitation of subjects. The most prominent feature of semantic IoT service is to use ontology for semantic annotation and support understanding, and to use "things" as service providers and consumers. In view of the differences and challenges in service description, service environment and service resources, this paper proposes a dynamic composition method of Semantic Internet of Things services based on QoS. By perceiving the situation of service requester and physical device and their impact on the quality of service information, the service description file without semantic conflict is generated, and then the service set is dynamically selected, combined and mapped to provide more accurate services for different service objects and different service environments.This paper designs a QoS semantic IoT service dynamic combination prototype system based on the dynamic combination method of semantic Internet of Things services. The overall design, sub-module design and database design of the prototype system are carried out in turn. The main functions of the system are programmed and realized by selecting the implementation tools and configuring the implementation platform. Finally, the accuracy and dynamic of the experimental results are analyzed and evaluated in detail through experimental tests.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2019.2935385