Wireless Signal Propagation Prediction Based on Computer Vision Sensing Technology for Forestry Security Monitoring

Wireless Signal Propagation Prediction Based on Computer Vision Sensing Technology for Forestry Security Monitoring

In this paper, Computer Vision (CV) sensing technology based on Convolutional Neural Network (CNN) is introduced to process topographic maps for predicting wireless signal propagation models, which are applied in the field of forestry security monitoring. In this way, the terrain-related radio propa...

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Bibliographic Details
Main Authors: Jialuan He, Zirui Xing, Tianqi Xiang, Xin Zhang, Yinghai Zhou, Chuanyu Xi, Hai Lu
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Sensors
Subjects:
CV sensing technology
wireless signal
forestry security monitoring
diffraction loss
shadow fading
convolutional neural network
Online Access:https://www.mdpi.com/1424-8220/21/17/5688

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