@inproceedings{a625ae20f23144c9ba1bbe71cc01094d,
title = "Trilateration Based on the Combination and K-Means Clustering",
abstract = "Trilateration is a classic positioning algorithm that uses the coordinates of three reference nodes to obtain the coordinate of an unknown node. It is widely used in various positioning algorithms because of its simple principle and low computational complexity. But when the three circles do not intersect at one point, a significant positioning error may occur. This paper proposes a new trilateration positioning algorithm based on the combination and K-Means clustering. The proposed algorithm can make full use of the position information and distance information of the reference nodes in the area. It can effectively remove the points with significant errors through K-Means clustering. Simulation experiments prove that this method can effectively improve the accuracy of positioning.",
keywords = "Algorithm, K-Means, Localization, RSSI, Trilateration, WNS",
author = "Kexin Yang and Qinghua Luo and Xiaozhen Yan",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 12th IEEE Global Reliability and Prognostics and Health Management, PHM-Nanjing 2021 ; Conference date: 15-10-2021 Through 17-10-2021",
year = "2021",
doi = "10.1109/PHM-Nanjing52125.2021.9613026",
language = "英语",
series = "2021 Global Reliability and Prognostics and Health Management, PHM-Nanjing 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
editor = "Wei Guo and Steven Li",
booktitle = "2021 Global Reliability and Prognostics and Health Management, PHM-Nanjing 2021",
address = "美国",
}