Green Energy Strategic Management for Service of Quality Composition in the Internet of Things Environment
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 s...
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| Format: | Article |
| Language: | English |
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Wiley
2020-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2020/6678612 |
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| _version_ | 1850172798880710656 |
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| author | Jianhao Gao |
| author_facet | Jianhao Gao |
| author_sort | Jianhao Gao |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-cbee7ec7a5d4449190a10ed727c4e0fa |
| institution | OA Journals |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2020-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-cbee7ec7a5d4449190a10ed727c4e0fa2025-08-20T02:19:58ZengWileyComplexity1076-27871099-05262020-01-01202010.1155/2020/66786126678612Green Energy Strategic Management for Service of Quality Composition in the Internet of Things EnvironmentJianhao Gao0School of Accounting Administration, Southwestern University of Finance and Economics, Chengdu, Sichuan 611130, ChinaWith 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.http://dx.doi.org/10.1155/2020/6678612 |
| spellingShingle | Jianhao Gao Green Energy Strategic Management for Service of Quality Composition in the Internet of Things Environment Complexity |
| title | Green Energy Strategic Management for Service of Quality Composition in the Internet of Things Environment |
| title_full | Green Energy Strategic Management for Service of Quality Composition in the Internet of Things Environment |
| title_fullStr | Green Energy Strategic Management for Service of Quality Composition in the Internet of Things Environment |
| title_full_unstemmed | Green Energy Strategic Management for Service of Quality Composition in the Internet of Things Environment |
| title_short | Green Energy Strategic Management for Service of Quality Composition in the Internet of Things Environment |
| title_sort | green energy strategic management for service of quality composition in the internet of things environment |
| url | http://dx.doi.org/10.1155/2020/6678612 |
| work_keys_str_mv | AT jianhaogao greenenergystrategicmanagementforserviceofqualitycompositionintheinternetofthingsenvironment |