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Green Energy Strategic Management for Service of Quality Composition in the Internet of Things Environment

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  • Jianhao Gao

Abstract

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.

Suggested Citation

  • Jianhao Gao, 2020. "Green Energy Strategic Management for Service of Quality Composition in the Internet of Things Environment," Complexity, Hindawi, vol. 2020, pages 1-10, November.
    • Handle: RePEc:hin:complx:6678612
    DOI: 10.1155/2020/6678612
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