Green Energy Strategic Management for Service of Quality Composition in the Internet of Things Environment
Author
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-30
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
With the rapid development of Internet of Things (IoT) technology, the energy consumption of service composition in the IoT environment is a key problem to be studied.
At present, the problems of service composition in the IoT environment mostly focus on the evaluation research based on quality of service (QoS), ignoring the overall energy consumption in the process of dynamic configuration of service composition.
Therefore, we construct the service composition structure for the IoT and propose the QoS evaluation model and energy evaluation model for the service composition in the IoT environment.
Considering that the service composition in the Internet of things environment is NP hard, moth algorithm (MFO) is successfully applied to the QoS evaluation model and energy evaluation model.
The simulation results reveal that MFO has good optimization effect in the abovementioned models, and the optimization effect of MFO is improved by 8% and 6% compared with the genetic algorithm and particle swarm optimization, so as to realize the green energy strategic management of QoS composition in the environment of IoT.
American Psychological Association (APA)
Gao, Jianhao. 2020. Green Energy Strategic Management for Service of Quality Composition in the Internet of Things Environment. Complexity،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1143190
Modern Language Association (MLA)
Gao, Jianhao. Green Energy Strategic Management for Service of Quality Composition in the Internet of Things Environment. Complexity No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1143190
American Medical Association (AMA)
Gao, Jianhao. Green Energy Strategic Management for Service of Quality Composition in the Internet of Things Environment. Complexity. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1143190
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1143190