Algorithm Research & Explore
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3365-3370,3384

Reliable task allocation mechanism in mobile crowd sensing based on Monte Carlo Bayesian inference

Yang Guisong
Yao Qiuyan
School of Optical-Electrical & Computer Engineering, University of Shanghai for Science & Technology, Shanghai 200093, China

Abstract

In view of the shortcomings of existing task allocation strategies, this paper proposed a task allocation strategy in mobile crowd sensing with a limited number of workers and used social networks to allocate tasks to obtain high profits. Firstly, it established the dynamic uncertain environment of social network to complete and propagate task. Then, considering that different social networks have different preferences for tasks, this paper set the uncertain value of task preference, and described the reliability of task allocation with the help of the theory of economic value at risk. Finally, it used Monte Carlo Bayesian inference method to study the Gaussian process of complex parameters of task dynamic propagation model, and designed a sampling algorithm based on knowledge gradient to select Monte Carlo sampling points, so as to realize high profit task allocation strategy. In order to verify the performance of the proposed strategy, it is compared with four benchmark sampling algorithms. The experimental results show that the proposed task allocation strategy is effective in improving profit.

Foundation Support

国家自然科学基金资助项目(61802257)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2022.03.0147
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 11
Section: Algorithm Research & Explore
Pages: 3365-3370,3384
Serial Number: 1001-3695(2022)11-026-3365-06

Publish History

[2022-06-16] Accepted Paper
[2022-11-05] Printed Article

Cite This Article

杨桂松, 姚秋言. 基于蒙特卡罗贝叶斯推理的移动群智感知可靠任务分配机制 [J]. 计算机应用研究, 2022, 39 (11): 3365-3370,3384. (Yang Guisong, Yao Qiuyan. Reliable task allocation mechanism in mobile crowd sensing based on Monte Carlo Bayesian inference [J]. Application Research of Computers, 2022, 39 (11): 3365-3370,3384. )

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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