安全雾计算物联网的联合资源配置方法

doi:10.11959/j.issn.1000-436x.2023134

通信学报 ›› 2023, Vol. 44 ›› Issue (7): 26-37.doi: 10.11959/j.issn.1000-436x.2023134

• 学术论文 • 上一篇

安全雾计算物联网的联合资源配置方法

张世铂¹, 高洪元¹, 苏雨萌¹, 程建华², 赵立帅¹

¹ 哈尔滨工程大学信息与通信工程学院，黑龙江哈尔滨 150001
² 哈尔滨工程大学智能科学与工程学院，黑龙江哈尔滨 150001

修回日期:2023-07-04 出版日期:2023-07-01 发布日期:2023-07-01
作者简介:张世铂（1994− ），男，黑龙江哈尔滨人，哈尔滨工程大学博士生，主要研究方向为物联网通信、雾计算、智能计算、6G网络和信能协同传输技术
高洪元（1977− ），男，黑龙江木兰人，博士，哈尔滨工程大学副教授、博士生导师，主要研究方向为信号处理、无线通信与网络和人工智能理论及其应用等
苏雨萌（1994− ），女，黑龙江哈尔滨人，哈尔滨工程大学博士生，主要研究方向为Massive MIMO通信系统、物理层安全、智能计算和6G关键技术
程建华（1977− ），男，黑龙江哈尔滨人，博士，哈尔滨工程大学教授、博士生导师，主要研究方向为惯性导航系统、卫星导航和组合导航
赵立帅（2000− ），男，山东泰安人，哈尔滨工程大学硕士生，主要研究方向为智能反射面辅助的无线通信系统和智能计算
基金资助:
国家自然科学基金资助项目(62073093);黑龙江省自然科学基金资助项目(LH2020F017);黑龙江省博士后科研启动基金资助项目(LBH-Q19098)

Joint resource configuration method for secure fog computing Internet of things

Shibo ZHANG¹, Hongyuan GAO¹, Yumeng SU¹, Jianhua CHENG², Lishuai ZHAO¹

¹ College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
² College of Intelligent Systems Science and Engineering, Harbin Engineering University, Harbin 150001, China

Revised:2023-07-04 Online:2023-07-01 Published:2023-07-01
Supported by:
The National Natural Science Foundation of China(62073093);The Natural Science Foundation of Heilongjiang Province(LH2020F017);The Postdoctoral Scientific Research Developmental Fund of Heilongjiang Province(LBH-Q19098)

摘要/Abstract

摘要：

摘要：当前雾计算物联网系统在物理通信传输过程中容易遭受窃听攻击，现有雾计算相关研究未能有效解决这一难题，为实现雾计算物联网的物理层安全（PLS）通信以此对抗多个窃听器的恶意窃听，提出一种物理层安全雾计算物联网（PSFC-IoT）系统，并分析所提系统在安全通信场景下的系统保密速率。针对网络的资源配置问题，提出一种基于量子种子优化算法（QBOA）的联合资源配置方法，并对所提方法的收敛性进行分析。仿真实验结果证明了所提模型的有效性，并揭示了各种环境参数对系统保密性能的影响。此外，仿真结果还表明，所提方法在各种通信场景下均能获得最佳的保密性能。

关键词: 雾计算, 物联网, 物理层安全, 联合资源配置, 量子种子优化算法

Abstract:

The current fog computing Internet of things (IoT) systems are prone to eavesdropping attacks in the process of physical communication transmission, and the existing research on fog computing has not effectively solved this problem.In order to realize the physical layer security (PLS) communication of the fog computing IoT to against the malicious eavesdropping of multiple eavesdroppers, a physical-layer secure fog computing Internet of things (PSFC-IoT) system was proposed.The secrecy rate of the proposed system in the secure communication scenario was analyzed, a joint resource management method based on the quantum bean optimization algorithm (QBOA) was proposed to solve the resource allocation problem of the network.The convergence performance of the proposed method was analyzed.Simulation results validate the efficiency of the proposed model and reveal the influence of various environmental parameters on system secrecy performance.In addition, the simulation results show that the proposed method can achieve the best secrecy performance for various communication scenarios.

Key words: fog computing, IoT, PLS, joint resource configuration, quantum bean optimization algorithm

中图分类号:

TN929.52

张世铂, 高洪元, 苏雨萌, 程建华, 赵立帅. 安全雾计算物联网的联合资源配置方法[J]. 通信学报, 2023, 44(7): 26-37.

Shibo ZHANG, Hongyuan GAO, Yumeng SU, Jianhua CHENG, Lishuai ZHAO. Joint resource configuration method for secure fog computing Internet of things[J]. Journal on Communications, 2023, 44(7): 26-37.

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参数	参数值
路径损耗指数	3
频谱资源块带宽/MHz	5
高斯白噪声功率谱密度/(dBm·Hz^-1)	-174
物联网用户数目	25
雾计算服务器数目	12
单位时隙内物联网用户任务大小/kbit	[2, 20]
频谱资源块数目	10
窃听器数目	20
每个雾计算服务器CPU处理速率/(cycle·s^-1)	[5,9]×10¹⁰
物联网用户的传输功率/dBm	40
物联网用户最大时延允许阈值/ms	[80, 400]
处理单位比特数据需要的CPU周期/(cycle·bit^-1)	10⁴
指控时延/ms	5
单位雾计算服务器最大计算资源块数目	8

安全雾计算物联网的联合资源配置方法

Joint resource configuration method for secure fog computing Internet of things

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