Toward Location-Enabled IoT (LE-IoT): IoT Positioning Techniques, Error Sources, and Error Mitigation

Li，You1; Zhuang，Yuan2; Hu，Xin3; Gao，Zhouzheng4; Hu，Jia5; Chen，Long6; He，Zhe1; Pei，Ling7; Chen，Kejie8; Wang，Maosong9; Niu，Xiaoji10; Chen，Ruizhi2; Thompson，John11; Ghannouchi，Fadhel M.1; El-Sheimy，Naser1

2021-03-15

10.1109/JIOT.2020.3019199

IEEE Internet of Things Journal   影响因子和分区

2372-2541

2327-4662

Localization techniques are becoming key to add location context to the Internet-of-Things (IoT) data without human perception and intervention. Meanwhile, the newly emerged low-power wide-Area network (LPWAN) and 5G technologies have become strong candidates for mass-market localization applications. However, various error sources have limited localization performance by using such IoT signals. This article reviews the IoT localization system through the following sequence: IoT localization system review, localization data sources, localization algorithms, localization error sources and mitigation, and localization performance evaluation. Compared to the related surveys, this article has a more comprehensive and state-of-The-Art review on IoT localization methods, an original review on IoT localization error sources and mitigation, an original review on IoT localization performance evaluation, and a more comprehensive review of IoT localization applications, opportunities, and challenges. Thus, this survey provides comprehensive guidance for peers who are interested in enabling localization ability in the existing IoT systems, using IoT systems for localization, or integrating IoT signals with the existing localization sensors.

5G artificial intelligence (AI) error sources indoor navigation long-range wide-Area network (LoRaWAN) LTE-M machine learning (ML) multisensor integration NB-IoT positioning system review sigfox state of the art survey

SCI ; EI

英语

其他

WOS:000626569700004

20211110079667

5G mobile communication systems ; Errors ; Low power electronics ; Surveys ; Wide area networks

Computer Software, Data Handling and Applications:723

2-s2.0-85102340174

Scopus

1.Department of Geomatics Engineering,University of Calgary,Calgary,Canada
2.State Key Laboratory of Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan,China
3.School of Electronic Engineering,Beijing University of Posts and Telecommunications,Beijing,China
4.Department of Land Sciences,China University of Geosciences Beijing,Beijing,China
5.Department of Computer Science,University of Exeter,Exeter,United Kingdom
6.School of Data and Computer Science,Sun Yat-sen University,Guangzhou,China
7.Shanghai Key Laboratory of Navigation and Location Based Services,School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University,Shanghai,China
8.Department of Earth and Space Sciences,Southern University of Science and Technology,Shenzhen,China
9.College of Intelligence Science and Technology,National University of Defense Technology,Changsha,China
10.Gnss Research Center,Wuhan University,Wuhan,China
11.School of Engineering,University of Edinburgh,Edinburgh,United Kingdom

Li，You,Zhuang，Yuan,Hu，Xin,et al. Toward Location-Enabled IoT (LE-IoT): IoT Positioning Techniques, Error Sources, and Error Mitigation[J]. IEEE Internet of Things Journal,2021,8(6):4035-4062.

Li，You.,Zhuang，Yuan.,Hu，Xin.,Gao，Zhouzheng.,Hu，Jia.,...&El-Sheimy，Naser.(2021).Toward Location-Enabled IoT (LE-IoT): IoT Positioning Techniques, Error Sources, and Error Mitigation.IEEE Internet of Things Journal,8(6),4035-4062.

Li，You,et al."Toward Location-Enabled IoT (LE-IoT): IoT Positioning Techniques, Error Sources, and Error Mitigation".IEEE Internet of Things Journal 8.6(2021):4035-4062.