Machine Learning and Intelligent Communications. 4th International Conference, MLICOM 2019, Nanjing, China, August 24–25, 2019, Proceedings

Research Article

Indoor Localization Based on Centroid Constraints of AP Quadrilateral Networks

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  • @INPROCEEDINGS{10.1007/978-3-030-32388-2_11,
        author={Xinyue Li and Mu Zhou and Zhenya Zhang and Zhu Liu},
        title={Indoor Localization Based on Centroid Constraints of AP Quadrilateral Networks},
        proceedings={Machine Learning and Intelligent Communications. 4th International Conference, MLICOM 2019, Nanjing, China, August 24--25, 2019, Proceedings},
        proceedings_a={MLICOM},
        year={2019},
        month={10},
        keywords={Indoor localization Centroid constraint Quadrilateral network WLAN},
        doi={10.1007/978-3-030-32388-2_11}
    }
    
  • Xinyue Li
    Mu Zhou
    Zhenya Zhang
    Zhu Liu
    Year: 2019
    Indoor Localization Based on Centroid Constraints of AP Quadrilateral Networks
    MLICOM
    Springer
    DOI: 10.1007/978-3-030-32388-2_11
Xinyue Li1,*, Mu Zhou1, Zhenya Zhang1, Zhu Liu1
  • 1: Chongqing University of Posts and Telecommunications
*Contact email: 443126330@qq.com

Abstract

With the development of wireless communication technology at home and abroad, wireless indoor positioning technology has become an indispensable technology. In the current indoor scenes, due to the extensive deployment of Wireless Local Area Network (WLAN) infrastructure, indoor WLAN location method has become a research hotspot. There are a variety of WLAN Access Points (APs) in indoor environment, which can be used in indoor localization. While existing indoor positioning technology often works along with high cost and low system stability especially in complex indoor environment. To solve this problem, a centroid constraint indoor location method based on AP quadrilateral network is proposed. By collecting and processing the Received Signal Strength (RSS) of APs, this method exploits propagation models and trilateration method to get the target quadrilateral centroid set, which can be applied to obtain the ultimate estimate coordinates of pending points under the condition of geometric constraints. This method enhances the robustness of indoor localization system and implements low-cost indoor localization.