Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 39, 2022 No. 8
2381-2387

Task allocation method based on data redundant control in mobile crowd sensing

He Xingyua,b
Zhao Dana
Yang Guisonga
Jin Zirib
Qin Yangkailongb
Wang Qipeib
a. School of Optical-Electrical & Computer Engineering, b. College of Communication & Art Design, University of Shanghai for Science & Technology, Shanghai 200093, China
DOI: 10.19734/j.issn.1001-3695.2021.12.0700

Abstract

Due to the overlap of time and space coverage between tasks in mobile crowd sensing, repeated data collection may happen and cause data redundancy problem. In view of this, this paper proposed a task allocation method to reduce data redundancy within and between tasks. Firstly, this method designed a trajectory sequence prediction model based on the long short-term memory(LSTM) neural network, to predict trajectory sequences of task participants within subdivided spatial-temporal units. Then based on the trajectory prediction results, the method proposed an optimization model to minimize data redundancy. Specifically, the optimization model constrained the data redundancy within a single task by minimizing the data redundancy metric in each spatial-temporal unit, and limited the data redundancy between multiple tasks by maximizing the reuse of the sensing data of each task participant in a spatial-temporal unit. Experimental results verify that the proposed task allocation method can effectively reduce the data redundancy within and between tasks.

Foundation Support

国家自然科学基金资助项目(61802257)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2021.12.0700
Publish at: Application Research of Computers Printed Article, Vol. 39, 2022 No. 8
Section: Algorithm Research & Explore
Pages: 2381-2387
Serial Number: 1001-3695(2022)08-024-2381-07

Publish History

[2022-03-22] Accepted Paper
[2022-08-05] Printed Article

Cite This Article

何杏宇, 赵丹, 杨桂松, 等. 基于数据冗余控制的移动群智感知任务分配方法 [J]. 计算机应用研究, 2022, 39 (8): 2381-2387. (He Xingyu, Zhao Dan, Yang Guisong, et al. Task allocation method based on data redundant control in mobile crowd sensing [J]. Application Research of Computers, 2022, 39 (8): 2381-2387. )

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  • 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.

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