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A deployment optimization for wireless sensor networks based on stacked autoencoder and probabilistic neural network

Hui Feng Chen Xu Bo Jin Min Zhang

数字通信与网络（英文）2026，Vol.12Issue(7)：1032-1041,10.

数字通信与网络（英文）2026，Vol.12Issue(7)：1032-1041,10.DOI:10.1016/j.dcan.2024.06.003

A deployment optimization for wireless sensor networks based on stacked autoencoder and probabilistic neural network

Hui Feng ¹Chen Xu ²Bo Jin ³Min Zhang¹

作者信息

1. School of Intelligent Engineering Technology,Jiangsu Vocational College of Finance and Economics,Huai'an,223003,China
2. School of Computer Science and Information Engineering,Shanghai Institute of Technology,Shanghai,200235,China
3. Institute of Systems and Robotics,Department of Electrical and Computer Engineering,University of Coimbra,Coimbra,3030-290,Portugal
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摘要

关键词

Wireless sensor networks/Stacked auto-encoder/Probabilistic neural network/Deep neural network/Deployment strategy/Node energy consumption

Key words

Wireless sensor networks/Stacked auto-encoder/Probabilistic neural network/Deep neural network/Deployment strategy/Node energy consumption

引用本文复制引用

Hui Feng,Chen Xu,Bo Jin,Min Zhang..A deployment optimization for wireless sensor networks based on stacked autoencoder and probabilistic neural network[J].数字通信与网络（英文）,2026,12(7):1032-1041,10.

基金项目

This work was funded by Sichuan Science and Technology Program(Grant Number 2023YFG0149)and the National Natural Science Foun-dation of China(Grant Number 62076096). （Grant Number 2023YFG0149）

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