面向服务组合质量的物联网绿色能源管理

doi:10.11959/j.issn.1000-0801.2017268

电信科学 ›› 2017, Vol. 33 ›› Issue (10): 34-42.doi: 10.11959/j.issn.1000-0801.2017268

• 专题：物联网技术与应用 • 上一篇下一篇

面向服务组合质量的物联网绿色能源管理

郭冲¹,闫文卿²,许斌¹

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

修回日期:2017-09-22 出版日期:2017-10-01 发布日期:2017-11-13
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。
基金资助:
江苏省自然科学基金资助项目(BK20160910);江苏省教育厅自然科学研究面上项目(16KJB520034);江苏省教育厅自然科学研究面上项目(17KJB520026)

Green energy management in internet of things based on quality of service composition

Chong GUO¹,Wenqing YAN²,Bin XU¹

¹ Nanjing University of Posts and Telecommunications,Nanjing 210003,China
² College of Computer Science and Engineering,Shandong University of Science and Technology,Qingdao 266590,China

Revised:2017-09-22 Online:2017-10-01 Published:2017-11-13
Supported by:
The Natural Science Foundation of Jiangsu Province of China(BK20160910);Natural Science Fund for Colleges and Universities in Jiangsu Province(16KJB520034);Natural Science Fund for Colleges and Universities in Jiangsu Province(17KJB520026)

摘要/Abstract

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。

关键词: 物联网, 服务组合质量, 绿色能源管理, QoS

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.

Key words: internet of things, quality of service composition, green energy management, quality of service

中图分类号:

TP315

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.

图/表 8

图1

表1

物联网中的服务质量计算方法"

QoS指标	计算规则	函数
T、C	sum	$\sum_{s_{i}^{j} \in x} q (S_{i}^{j})$
R	product	$\prod_{s_{i}^{j} \in x} q (S_{i}^{j})$

表1

表2

表3

图2

图3

图4

图5

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飞蛾算法	服务组合优化问题
飞蛾种群维度	服务类别数目
飞蛾位置	服务组合的解
最佳适应度值的解	最优服务组合的解
最佳适应度值	服务组合的最佳QoS

飞蛾算法	能源评估优化问题
飞蛾种群维度	能源类别数目
飞蛾种群规模	候选能源数目
最佳适应度值的解	最低能源消耗的解
最佳适应度值	最低能源消耗

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

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