面向服务组合质量的物联网绿色能源管理

郭冲; 闫文卿; 许斌

doi:10.11959/j.issn.1000-0801.2017268

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面向服务组合质量的物联网绿色能源管理

专题：物联网技术与应用 | 更新时间：2024-06-05

- 面向服务组合质量的物联网绿色能源管理
- Green energy management in internet of things based on quality of service composition
- 电信科学 2017年33卷第10期页码：34-42
- 作者机构：
  
  1. 南京邮电大学，江苏南京 210003
  2. 山东科技大学计算机科学与工程学院，山东青岛 266590
- 作者简介：
  
  [ "郭冲（1993-），男，南京邮电大学硕士生，主要研究方向为智能优化算法。" ]
  [ "闫文卿（1995-），男，山东科技大学计算机科学与工程学院在读，主要研究方向为智能计算在能源互联网及工业互联网中的应用。" ]
  [ "许斌（1981-），男，博士，南京邮电大学讲师，主要研究方向为智能计算。" ]
- 基金信息：
  
  江苏省自然科学基金资助项目;The Natural Science Foundation of Jiangsu Province of China(BK20160910);江苏省教育厅自然科学研究面上项目(16KJB520034);江苏省教育厅高校自然科学研究面上项目;Natural Science Fund for Colleges and Universities in Jiangsu Province(17KJB520026)
- DOI：10.11959/j.issn.1000-0801.2017268
  中图分类号： TP315
- 网络出版日期：2017-10，
  
  纸质出版日期：2017-10-20
- 稿件说明：
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郭冲, 闫文卿, 许斌. 面向服务组合质量的物联网绿色能源管理[J]. 电信科学, 2017,33(10):34-42.

Chong GUO, Wenqing YAN, Bin XU. Green energy management in internet of things based on quality of service composition[J]. Telecommunications science, 2017, 33(10): 34-42.
郭冲, 闫文卿, 许斌. 面向服务组合质量的物联网绿色能源管理[J]. 电信科学, 2017,33(10):34-42. DOI： 10.11959/j.issn.1000-0801.2017268.

Chong GUO, Wenqing YAN, Bin XU. Green energy management in internet of things based on quality of service composition[J]. Telecommunications science, 2017, 33(10): 34-42. DOI： 10.11959/j.issn.1000-0801.2017268.

摘要

随着物联网技术的迅速发展，物联网环境中服务组合的能源消耗是目前有待研究的一个关键问题。当前物联网环境下服务组合的问题大多集中在基于服务质量（QoS）的评估研究，忽略了服务组合动态配置过程中的总体能源消耗。因此，提出面向物联网环境下服务组合的QoS评估模型和能源评估模型。考虑到物联网环境下的服务组合是NP难问题，将飞蛾算法（MFO）成功运用到QoS评估模型和能源评估模型。实验结果表明，MFO在上述模型中都呈现出较好的优化效果，从而实现服务组合质量在物联网环境下的绿色能源管理。

Abstract

With the rapid development of internet of things technology

the energy consumption of service composition in the internet of things is a key issue to be studied.The service composition problem in the internet of things mostly focuses on the evaluation based on quality of service(QoS) at present and ignores the overall enerqy cornsumption during the dynamic deployment of service qrnposition.Therefore

a QoS evaluation model and an energy evaluation model was proposed for service composition in the internet of things.Finally

considering the service composition in the internet of things is NP hard

the moth-flame optimization (MFO) was successfully applied to the QoS evaluation model and the energy evaluation model.The experimental results show that MFO has a better optimization effect in the above model

so as to realize the green energy management of the quality of service composition in the environment of the internet of things.

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references

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