《计算机应用研究》|Application Research of Computers

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

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

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作者 杨玉仁,张书奎,龙浩,张力
机构 1.苏州大学 计算机科学与技术学院,江苏 苏州 215006;2.江苏省无线传感网高技术研究重点实验室,南京 210003
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文章编号 1001-3695(2019)05-045-1493-07
DOI 10.19734/j.issn.1001-3695.2018.01.0002
摘要 随着无线传感器网络的高速发展和多种移动智能设备的普及,移动群智感知(mobile crowd sensing,MCS)成为移动计算的核心。利用群智感知可完成大规模、复杂环境及社会感知任务,其中任务分发是这种应用中的一个重要环节。针对任务分发过程中存在感知环境复杂、用户数量达不到要求、收集数据质量低等问题,提出一种基于社交属性及有效用户计算的任务分发机制(effective user calculation,EUC)。该机制具有根据任务来筛选用户的特点,从用户角度看,EUC考虑了用户的社会性,由用户的社交网络传递相关信息来增加平台的有效用户数;从平台的角度看,EUC可根据任务的接收和提交情况动态调整有效用户的积分,从而保障整个系统的有效用户数。理论分析和实验结果表明,所提出的机制可提高系统的任务分发效率,并改善了收集数据的质量。
关键词 群智感知; 任务分发; 有效用户; 社交属性
基金项目 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)
本文URL http://www.arocmag.com/article/01-2019-05-045.html
英文标题 Task distribution mechanism based on social attribute and effective user calculation in crowd sensing
作者英文名 Yang Yuren, Zhang Shukui, Long Hao, Zhang Li
机构英文名 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
英文摘要 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.
英文关键词 crowd sensing; task distribution; effective users; social attributes
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收稿日期 2018/1/7
修回日期 2018/2/28
页码 1493-1499
中图分类号 TP393;TP301.6
文献标志码 A