Technology of Network & Communication
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App. Res. of Comp. Printed Article
Vol. 40, 2023 No. 4
1172-1177,1183

Participant selection mechanism based on federated learning in mobile crowd sensing

Zhang Yua,b
Jiang Haifenga,b
Yang Haowena,b
Xiao Shuoa,b
a. Engineering Research Center of Mine Digitization of Ministry of Education, b. School of Computer Science & Technology, China University of Mining & Technology, Xuzhou Jiangsu 221116, China
DOI: 10.19734/j.issn.1001-3695.2022.08.0461

Abstract

With the development of mobile crowd sensing, the amount of data collected by some tasks is too large. It is necessary to evaluate the data quality of participants and complete the selection of participants without sharing the original data of participants. This paper proposed a federated learning-based mobile crowd sensing participant selection mechanism. Considering the resource level and interaction state of participants' intelligent terminals, it constructed the evaluation mechanism of intelligent terminal resources of participants, and proposed a prediction model of intelligent terminal resources based on linear regression and long and short term memory network. It evaluated the quality of the data provided by the participants through the pre-training test model. Combining with the historical task completion, it established a reputation evaluation model of the participants to realize the dynamic evaluation and selection of the participants. The simulation results show that the proposed participant selection mechanism exhibits better performance in various aspects such as task completion quality, energy consumption, number of communication rounds and task completion time.

Foundation Support

国家自然科学基金资助项目(62071470)
徐州市科技计划资助项目(KC20167)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.08.0461
Publish at: Application Research of Computers Printed Article, Vol. 40, 2023 No. 4
Section: Technology of Network & Communication
Pages: 1172-1177,1183
Serial Number: 1001-3695(2023)04-034-1172-06

Publish History

[2022-11-17] Accepted Paper
[2023-04-05] Printed Article

Cite This Article

张宇, 江海峰, 杨浩文, 等. 移动群智感知中基于联邦学习的参与者选择机制 [J]. 计算机应用研究, 2023, 40 (4): 1172-1177,1183. (Zhang Yu, Jiang Haifeng, Yang Haowen, et al. Participant selection mechanism based on federated learning in mobile crowd sensing [J]. Application Research of Computers, 2023, 40 (4): 1172-1177,1183. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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