A Survey on Indoor Positioning Systems for IoT-Based Applications

被引：237
作者：
Farahsari, Pooyan Shams [1 ]
Farahzadi, Amirhossein [1 ]
Rezazadeh, Javad [2 ]
Bagheri, Alireza [3 ]
机构：
[1] Islamic Azad Univ, Dept Elect & Comp Engn, North Tehran Branch, Tehran 1651153311, Iran
[2] Univ Technol Sydney, Fac Engn & Informat Technol, Sydney, NSW 2007, Australia
[3] Amirkabir Univ Technol, Dept Comp Engn, Tehran 1591634311, Iran
来源：
IEEE INTERNET OF THINGS JOURNAL | 2022年 / 9卷 / 10期
关键词：
Internet of Things; Location awareness; IP networks; Manganese; Global Positioning System; Wireless communication; Wireless fidelity; Algorithms and vendors; indoor localization; indoor positioning systems (IPSs); Internet of Things (IoT) applications; localization technique; localization technology; location-based services (LBSs); LOCALIZATION;
D O I：
10.1109/JIOT.2022.3149048
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The Internet of Things (IoT), as a pervasive paradigm, is becoming an integral part of the tech industry and academic research in recent years. It forms a ubiquitous heterogeneous network connecting humans and things. The basic premise is acquiring data from the environment with sensors and remote intelligent management via actuators. For IoT service providers, time and place are functional parameters. Whereas most IoT scenarios are in indoor spaces and GPS cannot fully cover them, applying an indoor positioning system (IPS) is necessary. Besides, indoor enabling technologies can leverage the capability of IoT in context-aware services. In this article, we aim to provide a panoramic view of IPSs and localization services with the centrality of IoT. First, we explain the main concepts and review the latest positioning methods, techniques, and technologies with IoT remarks. Then, we discuss technical implementation challenges and open issues with feasible solutions. Finally, we mentioned location-based services (LBSs), real IoT applications, and active vendors in the realm of positioning services. This article provides a real insight into LBSs in IoT for future research.
引用
收藏
页码：7680 / 7699
页数：20
相关论文
共 136 条
[1]   WiDeep: WiFi-based Accurate and Robust Indoor Localization System using Deep Learning [J].
Abbas, Moustafa ;
Elhamshary, Moustafa ;
Rizk, Hamada ;
Torki, Marwan ;
Youssef, Moustafa .
2019 IEEE INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING AND COMMUNICATIONS (PERCOM), 2019,
[2]  
Aernouts M, 2018, WORKS POSIT NAVIGAT
[3]  
AirFinder, 2021, US
[4]  
Al-Hameed A., 2019, ARXIV190309896
[5]  
Al-Sarawi Shadi, 2017, 2017 8th International Conference on Information Technology (ICIT). Proceedings, P685, DOI 10.1109/ICITECH.2017.8079928
[6]   Ultra Wideband Indoor Positioning Technologies: Analysis and Recent Advances [J].
Alarifi, Abdulrahman ;
Al-Salman, AbdulMalik ;
Alsaleh, Mansour ;
Alnafessah, Ahmad ;
Al-Hadhrami, Suheer ;
Al-Ammar, Mai A. ;
Al-Khalifa, Hend S. .
SENSORS, 2016, 16 (05)
[7]  
Alvarez F.J, 2019, J. Acoust. Soc. Am., V145, P1884
[8]  
Anagnostopoulos G., 2017, THESIS U GENEVA GENE
[9]  
[Anonymous], 2021, About us
[10]  
Atia MM, 2012, IEEE POSITION LOCAT, P1068, DOI 10.1109/PLANS.2012.6236849
12345678910