Fuzzy Logic Based Indoor Localization Using WLAN Infrastructure

被引:0
作者
Hrad, Jaromir [1 ]
Vojtech, Lukas [1 ]
Cihlar, Martin [1 ]
Stasa, Pavel [2 ]
Neruda, Marek [1 ]
Svub, Jiri [2 ]
Benes, Filip [2 ]
机构
[1] Czech Tech Univ, JugoslavskYch Party Zanu 1580-3, Prague, Czech Republic
[2] VSB Tech Univ Ostrava, 17 Listopadu 2172-15, Ostrava, Czech Republic
来源
PROCEEDINGS OF THE 2ND IEEE EURASIA CONFERENCE ON BIOMEDICAL ENGINEERING, HEALTHCARE AND SUSTAINABILITY 2020 (IEEE ECBIOS 2020): BIOMEDICAL ENGINEERING, HEALTHCARE AND SUSTAINABILITY | 2020年
关键词
fuzzy logic; positioning; indoor; Centre for Assistive Technologies; wireless networks;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The paper introduces a method and system for real-time positioning of mobile terminals in indoor areas. The system uses wireless LAN infrastructure (usually Wi-Fi) and evaluates signal strength from different access points. The system meets requirements and has been implemented in Java for Android-based mobile devices and successfully tested at the Centre for Assistive Technologies (CAT) at the Czech Technical University in Prague, Faculty of Electrical Engineering. The results demonstrate an average accuracy of approximately 2.5 m, which is satisfactory for determining the position of a client device at room-level (e.g. in hospitals for checking whether a patient or staff member is currently in an expected place or for deciding where they can be assigned). Its potential applications are in healthcare, disaster management, supervision of people with disabilities, etc., but also in monitoring staff and goods in closed areas.
引用
收藏
页码:81 / 84
页数:4
相关论文
共 8 条
[2]  
Cihlar M., 2016, THESIS CTU PRAGUE
[3]  
Cihlar M, 2014, THESIS CTU PRAGUE
[4]   SSD: A Robust RF Location Fingerprint Addressing Mobile Devices' Heterogeneity [J].
Hossain, A. K. M. Mahtab ;
Jin, Yunye ;
Soh, Wee-Seng ;
Hien Nguyen Van .
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2013, 12 (01) :65-77
[5]   OPTIMIZATION BY SIMULATED ANNEALING [J].
KIRKPATRICK, S ;
GELATT, CD ;
VECCHI, MP .
SCIENCE, 1983, 220 (4598) :671-680
[6]   Learning and tuning of fuzzy membership functions by simulated annealing algorithm [J].
Liu, GX ;
Yang, WH .
2000 IEEE ASIA-PACIFIC CONFERENCE ON CIRCUITS AND SYSTEMS: ELECTRONIC COMMUNICATION SYSTEMS, 2000, :367-370
[7]   GENERATING FUZZY RULES BY LEARNING FROM EXAMPLES [J].
WANG, LX ;
MENDEL, JM .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1992, 22 (06) :1414-1427
[8]   Fuzzy model tuning using simulated annealing [J].
Yanar, Tahsin Alp ;
Akyurek, Zuhal .
EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (07) :8159-8169