Technology of Network & Communication
|
251-253,258

Participant selection mechanism for time window dependent tasks in MCS

Zhang Lishen
Sun Xuemei
Xing Qian
School of Computer Science & Software Engineering, Tianjin Polytechnic University, Tianjin 300387, China

Abstract

In many applications of mobile crowd sensing, participants should collect continuous data over a period of time in this scenario on which existing research lacks consideration. For this scenario, this paper proposed a participant selection mechanism which was time window dependent. This mechanism included a participant selection method which was time window dependent based on dynamic programming algorithm. The target of the method was to maximize data benefits while cover time period of the task. It gave an updating mechanism of participant's reputation based on the willingness and data quality of the participant. Finally, simulation results show that compared with two common selection mechanisms, the proposed participant selection mechanism has better performance in terms of data reliability, data benefits and cost and has better prospects.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.07.0466
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 1
Section: Technology of Network & Communication
Pages: 251-253,258
Serial Number: 1001-3695(2020)01-052-0251-03

Publish History

[2020-01-05] Printed Article

Cite This Article

张立燊, 孙学梅, 邢倩. 移动群智感知中时间窗口相关的参与者选择机制 [J]. 计算机应用研究, 2020, 37 (1): 251-253,258. (Zhang Lishen, Sun Xuemei, Xing Qian. Participant selection mechanism for time window dependent tasks in MCS [J]. Application Research of Computers, 2020, 37 (1): 251-253,258. )

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  • Application Research of Computers Monthly Journal
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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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