Indoor Localization Based on the LoRa Technology

Rui Tian; HaiBo Ye; Li Sheng

Machine Learning and Intelligent Communications. 5th International Conference, MLICOM 2020, Shenzhen, China, September 26-27, 2020, Proceedings

Research Article

Indoor Localization Based on the LoRa Technology

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@INPROCEEDINGS{10.1007/978-3-030-66785-6_34,
    author={Rui Tian and HaiBo Ye and Li Sheng},
    title={Indoor Localization Based on the LoRa Technology},
    proceedings={Machine Learning and Intelligent Communications. 5th International Conference, MLICOM 2020, Shenzhen, China, September 26-27, 2020, Proceedings},
    proceedings_a={MLICOM},
    year={2021},
    month={1},
    keywords={Localization Fingerprints LoRa technology KNN algorithm},
    doi={10.1007/978-3-030-66785-6_34}
}

Rui Tian
HaiBo Ye
Li Sheng
Year: 2021
Indoor Localization Based on the LoRa Technology
MLICOM
Springer
DOI: 10.1007/978-3-030-66785-6_34

Rui Tian¹, HaiBo Ye¹^,*, Li Sheng¹

1: Department of Computer Science and Technology, NanJing University of Aeronautics and Astronautics

*Contact email: yhb@nuaa.edu.cn

Abstract

In recent years, with the development of more advanced mobile technologies and wider application requirements, many new technologies have been used for indoor localization. In this paper, we design and implement an indoor localization system based on the LoRa wireless communication technology. We proposed an improved KNN based algorithm which can greatly reduce the size of the fingerprint database. The locating system is easy to deploy, it has good accuracy and low latency. Our field study showed that it can locate a moving object or user with the accuracy of 96.72%.

Keywords: Localization Fingerprints LoRa technology KNN algorithm

Published: 2021-01-24
Appears in: SpringerLink

: http://dx.doi.org/10.1007/978-3-030-66785-6_34

Indoor Localization Based on the LoRa Technology

Abstract

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