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Algorithm Research & Explore
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2698-2700,2705

Spatial crowdsourcing task allocation model based on improved particle swarm optimization

Zhang Hui1
Zhao Chenxi2
Wang Yang2
Zhang Le2
Zhao Chuanxin2
1. Wanjiang College of Anhui Normal University, Wuhu Anhui 241008, China
2. School of Computer & Information, Anhui Normal Univer-sity, Wuhu Anhui 241000, China

Abstract

How to allocate tasks efficiently and reasonably is one of the key problems in the research of spatial crowdsourcing. This paper proposed a MQTAM to solve the problem of low allocation efficiency of SC, and proposed an improved particle swarm optimization algorithm. The model took into account the time delay of task completion and the reliability of task completion, and used SCTAM_PSO algorithm to search the optimal assignment scheme to improve the task completion quality. The experimental results and analysis show that the MQTAM and SCTAM are effective and feasible.

Foundation Support

国家自然科学基金项目(61871412)
安徽省自然科学基金项目(1708085MF156)
赛尔网络下一代互联网技术创新项目(NGII20170305)
安徽省高校优秀青年人才支持计划一般项目(gxyq2017140)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.04.0129
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 9
Section: Algorithm Research & Explore
Pages: 2698-2700,2705
Serial Number: 1001-3695(2020)09-027-2698-03

Publish History

[2020-09-05] Printed Article

Cite This Article

张辉, 赵晨曦, 王杨, 等. 基于改进粒子群算法的空间众包任务分配模型 [J]. 计算机应用研究, 2020, 37 (9): 2698-2700,2705. (Zhang Hui, Zhao Chenxi, Wang Yang, et al. Spatial crowdsourcing task allocation model based on improved particle swarm optimization [J]. Application Research of Computers, 2020, 37 (9): 2698-2700,2705. )

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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