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Symmetry 18 00509 by Hoàng Ngọc Trang is a document available to read on EtoBox.

This paper presents a hybrid localization framework combining deep neural networks (DNN) and particle swarm optimization (PSO) to enhance accuracy and reduce energy consumption in wireless sensor networks (WSNs). The proposed method achieves a mean localization error of 0.87 m, significantly lower than traditional methods, while optimizing anchor node selection to decrease energy use by 23%. The framework demonstrates robustness across various environmental conditions and scales effectively with network siz

Author
Hoàng Ngọc Trang
Language
EN