激励机制赋能高效雾网络

王蓓蓓; 沈斐; 李旭杰; 徐慧慧; 张冲冲

doi:10.11959/j.issn.1000-0801.2019061

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激励机制赋能高效雾网络

专题：移动边缘计算 | 更新时间：2024-06-05

- 激励机制赋能高效雾网络
- Incentive mechanism enables efficient fog network
- 电信科学 2019年35卷第3期页码：25-35
- 作者机构：
  
  1. 河海大学计算机与信息学院，江苏南京 211100
  2. 中国科学院上海微系统与信息技术研究所，上海 200050
  3. 上海无线通信研究中心，上海 201210
  4. 武汉大学，湖北武汉 430072
- 作者简介：
  
  [ "王蓓蓓（1995- ），女，河海大学计算机与信息学院硕士生，主要研究方向为雾计算、移动边缘计算。" ]
  [ "沈斐（1983- ），女，中国科学院上海微系统与信息技术研究所“百人计划”副研究员，主要研究方向为无线通信、雾计算、移动边缘计算。" ]
  [ "李旭杰（1979- ），男，博士，河海大学计算机与信息学院副教授，主要研究方向为无线通信网络的资源分配与优化。" ]
  [ "徐慧慧（1997- ），女，武汉大学在读，主要研究方向为雾计算、深度学习。" ]
  [ "张冲冲（1994- ），男，中国科学院上海微系统与信息技术研究所硕士生，主要研究方向为雾计算、移动边缘计算。" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61871370);上海市自然科学基金资助项目;The Natural Science Foundation of Shanghai of China(18ZR1437500);中国科学院百人计划项目;The Hundred-Talent Program of Chinese Academy of Sciences(Y86BRA1001)
- DOI：10.11959/j.issn.1000-0801.2019061
  中图分类号： TP393
- 网络出版日期：2019-03，
  
  纸质出版日期：2019-03-20
- 稿件说明：
移动端阅览
王蓓蓓, 沈斐, 李旭杰, 等. 激励机制赋能高效雾网络[J]. 电信科学, 2019,35(3):25-35.

Beibei WANG, Fei SHEN, Xujie LI, et al. Incentive mechanism enables efficient fog network[J]. Telecommunications science, 2019, 35(3): 25-35.
王蓓蓓, 沈斐, 李旭杰, 等. 激励机制赋能高效雾网络[J]. 电信科学, 2019,35(3):25-35. DOI： 10.11959/j.issn.1000-0801.2019061.

Beibei WANG, Fei SHEN, Xujie LI, et al. Incentive mechanism enables efficient fog network[J]. Telecommunications science, 2019, 35(3): 25-35. DOI： 10.11959/j.issn.1000-0801.2019061.

摘要

为了提高雾网络的资源利用率以及服务质量，确保异构雾节点的可靠性与安全性，需要合理的激励机制。激励机制的引入，能够有效调动雾网络设备的服务积极性，减少设备恶意或自私等行为。首先提出了雾计算的研究意义，并给出了雾网络的特点及应用场景。其次介绍了雾网络的系统架构。然后将激励机制分别与雾网络中资源感知技术以及任务卸载技术相融合，并进一步给出了部分融合实例，体现了激励机制在雾网络中的重要作用。

Abstract

In order to improve the resource utilization and service quality of the fog network

as well as ensure the reliability and security of heterogeneous fog nodes

a reasonable incentive mechanism was required.The introduction of incentive mechanism can effectively motivate the service enthusiasm of fog network equipment and reduce the malicious or selfish behavior of the equipment.Firstly

the research significance of the fog computing was proposed

and the characteristics as well as the application scenarios of fog networks were given.Secondly

the system architecture of the fog network was introduced.Then the incentive mechanism was integrated with the resource sensing technology and the task offloading technology in the fog network

and further examples were presented to show the important role of the incentive mechanism in the fog network.

关键词

Keywords

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