device-clustering algorithm in crowdsourcing-based localization

ISCAS OpenIR

	device-clustering algorithm in crowdsourcing-based localization
	Cheng Huang; Luo Hai-Yong; Zhao Fang
	2012
发表期刊	Journal of China Universities of Posts and Telecommunications
ISSN	1005-8885
卷号	19 期号:SUPPL. 2 页码:114-121
摘要	Device heterogeneity significantly degrades the localization performance of fingerprinting-based localization, especially in the crowdsourcing-based positioning system. Although manual calibration can reduce positional error, the adjustment overhead is extremely heavy and to maintain ever-increasing device types is overly laborious. In this paper, we propose a novel device-clustering algorithm to operate the positioning system based on macro device-cluster (DC) rather than natural device. In this way, the system maintains less device types and the localization accuracy is improved obviously. The experimental result of different combination indicates the optimal operating flow is to combine DC and kernel density estimator when the tracking device is known and add the linear transformation phase when device is unknown. © 2012 The Journal of China Universities of Posts and Telecommunications.; Device heterogeneity significantly degrades the localization performance of fingerprinting-based localization, especially in the crowdsourcing-based positioning system. Although manual calibration can reduce positional error, the adjustment overhead is extremely heavy and to maintain ever-increasing device types is overly laborious. In this paper, we propose a novel device-clustering algorithm to operate the positioning system based on macro device-cluster (DC) rather than natural device. In this way, the system maintains less device types and the localization accuracy is improved obviously. The experimental result of different combination indicates the optimal operating flow is to combine DC and kernel density estimator when the tracking device is known and add the linear transformation phase when device is unknown. © 2012 The Journal of China Universities of Posts and Telecommunications.
收录类别	EI
关键词	Navigation Systems
部门归属	(1) Software School Beijing University of Posts and Telecommunications Beijing 100876 China; (2) Institute of Computing Technology Chinese Academy of Sciences Beijing 100876 China
语种	英语
内容类型	期刊论文
URI标识	http://ir.iscas.ac.cn/handle/311060/15442
专题	中国科学院软件研究所
推荐引用方式 GB/T 7714	Cheng Huang,Luo Hai-Yong,Zhao Fang. device-clustering algorithm in crowdsourcing-based localization[J]. Journal of China Universities of Posts and Telecommunications,2012,19(SUPPL. 2):114-121.
APA	Cheng Huang,Luo Hai-Yong,&Zhao Fang.(2012).device-clustering algorithm in crowdsourcing-based localization.Journal of China Universities of Posts and Telecommunications,19(SUPPL. 2),114-121.
MLA	Cheng Huang,et al."device-clustering algorithm in crowdsourcing-based localization".Journal of China Universities of Posts and Telecommunications 19.SUPPL. 2(2012):114-121.