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  • 陈兵 ( 教授 )

    的个人主页 http://faculty.nuaa.edu.cn/cb4/zh_CN/index.htm

  •   教授   博士生导师
  • 招生学科专业:
    计算机科学与技术 -- 【招收博士、硕士研究生】 -- 计算机科学与技术学院
    软件工程 -- 【招收硕士研究生】 -- 计算机科学与技术学院
    网络空间安全 -- 【招收博士、硕士研究生】 -- 计算机科学与技术学院
    电子信息 -- 【招收博士、硕士研究生】 -- 计算机科学与技术学院
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A novel method for measurement points selection in access points localization

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所属单位:计算机科学与技术学院/人工智能学院/软件学院
发表刊物:WIRELESS NETWORKS
关键字:Access points Localization Selection of measurement points Information collection
摘要:Precise localization of access points (APs) has become more and more important with the booming of diverse location based services. AP localization accuracy heavily relies on the locations of measurement points. However, collecting abundant information from the APs usually requires tremendous manual efforts, which greatly compromise the efficiency and accuracy of the localization of the APs. Thus, the selection of appropriate measurement points becomes an important issue to achieve a high localization accuracy with a low-cost method, which has not been fully explored in existing research. To this end, we propose a novel approach to select measurement points for AP localization under the assumption that the number of APs to be located is known in advance. Specifically, an initial point is selected randomly and the locations of APs are estimated according to the measured information. Then, subsequent measurement points are determined by locating the intersection of the coverage areas of APs in real time, so that as many APs as possible can be detected at each measurement point. Both simulation and experimental results show that our approach can reduce the number of measurement points while improving the AP localization accuracy.
ISSN号:1022-0038
是否译文:否
发表时间:2018-01-01
合写作者:Yang, Xiaoling
通讯作者:陈兵

 

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