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作 者:何宏[1] 向朝参[1] 肖书成[1] 沈鑫[1] 杨盘隆[2] 苟继彬 HE Hong XIANG Chaocan XIAO Shucheng SHEN XinI YANG Panlong GOU Jibin(Department of Management Science and Engineering, Logistic Engineering University, ChongQing 401331, China College of Computer Science and Technology, University of Science and Technology of China, Hefei 230026, China)
机构地区:[1]后勤工程学院管理科学与工程系,重庆401331 [2]中国科学技术大学计算机科学与技术学院,合肥230026
出 处:《吉林大学学报(信息科学版)》2016年第3期374-383,共10页Journal of Jilin University(Information Science Edition)
基 金:国家自然科学基金资助项目(61003277)
摘 要:群智感知网络由于能很好地解决大规模感知网络中部署维护成本高这个关键难题,近年来成为物联网研究的热点。笔者主要对群智感知网络的最新研究现状进行综述。阐述了群智感知网络的基本定义、起源和架构,分析了其特点以及与传统感知网络的区别与联系;分别从环境感知、公共基础设施感知以及社会感知3方面对群智感知网络的研究现状进行总结;分析和指出了群智感知网络未来3个重要的研究方向和挑战,为深入研究提供参考和借鉴。As crowd-sensing networks can efficiently address the key problem of large-scale sensor networks,i.e. large quantities of deployment and maintenance cost, it becomes a research hotspot for the Internet ofThings. This paper presents the state-of-the-art of crowd-sensing networks. We first introduce the definition, theorigin and the framework of crowd-sensing networks, followed by the analysis of its characteristics and thecomparison with traditional sensing networks. And then, recent researches of crowd-sensing networks aresurveyed in terms of environment sensing, public infrastructure sensing and social sensing. Finally, we point outthree important directions for the future research of Crowd-Sensing Networks and analyze their challenges, to givea reference and help for the future study.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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