On analyzing user location discovery methods in smart homes: A taxonomy and survey

被引:13
|
作者
Ahvar, Ehsan [1 ]
Daneshgar-Moghaddam, Nafiseh [2 ]
Ortiz, Antonio M. [3 ]
Lee, Gyu Myoung [4 ]
Crespi, Noel [1 ]
机构
[1] Telecom SudParis, Inst Mines Telecom, Wireless Networks & Multimedia Serv Dept, F-91011 Evry, France
[2] Islamic Azad Univ, Fac Comp & Informat Technol Engn, Qazvin Branch, Qazvin, Iran
[3] Montimage EURL, Paris, France
[4] Liverpool John Moores Univ, Liverpool, Merseyside, England
关键词
User location discovery; Smart home; Localization; Survey; INDOOR LOCALIZATION; WIRELESS; TRACKING; PATIENT; SYSTEM;
D O I
10.1016/j.jnca.2016.09.012
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
User Location Discovery (ULD) is a key issue in smart home ecosystems, as it plays a critical role in many applications. If a smart home management system cannot detect the actual location of the users, the desired applications may not be able to work successfully. This article proposes a new taxonomy with a broad coverage of ULD methods in terms of user satisfaction and technical features. In addition, we provide a state-of-the-art survey of ULD methods and apply our taxonomy to map these methods. Mapping contributes to gap analysis for existing ULDs and also validates the applicability and accuracy of the taxonomy. Using this systematic approach, the features and characteristics of the current ULD methods are identified (i.e., equipment and algorithms). Next, the weaknesses and advantages of these methods are analyzed utilizing ten important evaluation metrics. Although we mainly focus on smart homes, the results of this article can be generalized to other spaces such as smart offices and eHealth environments.
引用
收藏
页码:75 / 86
页数:12
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