Technology of Network & Communication
|
App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 5
1493-1499

Task distribution mechanism based on social attribute and effective user calculation in crowd sensing

Yang Yuren1
Zhang Shukui1,2
Long Hao1
Zhang Li1
1. School of Computer Science & Technology, Soochow University, Suzhou Jiangsu 215006, China
2. Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing 210003, China
DOI: 10.19734/j.issn.1001-3695.2018.01.0002

Abstract

Mobile crowd sensing(MCS) is the core of mobile computing with the rapid development of wireless sensor networks and the popularity of mobile intelligent devices. The use of crowd sensing can be completed large-scale, complex environment and social awareness tasks, which the task distribution is an important part of this application. In order to solve the problem that the perceived environment is complex, the number of users can not meet the requirements and the quality of the collected data is low, this paper proposed a task distribution mechanism EUC based on social attribute and effective user calculation. According to the task to filter the characteristics of the user, from the user point of view, EUC considered the user's social, the user's social network through the relevant information to increase the number of effective users. From the platform point of view, according to the task of receiving and submitting the situation, EUC dynamically adjusted the effective user's points, thus ensuring the effective number of users of the entire system. Theoretical analysis and experimental results show that the proposed mechanism can improves the task distribution efficiency of the system and improves the quality of the collected data.

Foundation Support

国家自然科学基金资助项目(61201212)
江苏省自然科学基金资助项目(BK2011376)
江苏省“六大人才高峰”资助项目(2014-WLW-010)
苏州市融合通信重点实验室资助项目(SKLCC2013XX)
江苏省产学研前瞻性项目(BY2012114)
软件新技术与产业化协同创新中心资助项目
苏州市前瞻性应用研究计划项目(SYG201730)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.01.0002
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 5
Section: Technology of Network & Communication
Pages: 1493-1499
Serial Number: 1001-3695(2019)05-045-1493-07

Publish History

[2019-05-05] Printed Article

Cite This Article

杨玉仁, 张书奎, 龙浩, 等. 群智感知中基于社交属性及有效用户计算的任务分发机制 [J]. 计算机应用研究, 2019, 36 (5): 1493-1499. (Yang Yuren, Zhang Shukui, Long Hao, et al. Task distribution mechanism based on social attribute and effective user calculation in crowd sensing [J]. Application Research of Computers, 2019, 36 (5): 1493-1499. )

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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