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.

中文翻译：

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物联网环境中质量服务的绿色能源战略管理

随着物联网技术的飞速发展，物联网环境下服务组合的能耗成为亟待研究的关键问题。目前，物联网环境中服务组合的问题主要集中在基于服务质量（QoS）的评估研究上，而忽略了服务组合动态配置过程中的总体能耗。因此，我们构建了物联网的服务组合结构，并提出了物联网环境下服务组合的QoS评估模型和能量评估模型。考虑到物联网环境中的服务组成是NP难的，因此将飞蛾算法（MFO）成功应用于QoS评估模型和能量评估模型。