On the Possibility of Creating Energy-Efficient Mesh Network to Prevent Forest Fires and Provide Video Surveillance of Hard-to-Reach Areas

The paper considers the possibility of creating an energy-efficient mesh network for video monitoring of hard-to-reach areas, such as forests, tunnels and mountainous areas, in order to prevent forest fires. The main focus is on the use of decentralized MANET networks, which do not require infrastructure and have a low deployment cost. The paper proposes a prototype of a hardware and software system based on ESP8266 microcontrollers, using the painlessMesh library to transmit images between end nodes. Tests were carried out to determine the network throughput and optimal data transmission parameters depending on the required image quality and acceptable losses.

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Publication Details

Published
2025-04-08
DOI
https://doi.org/10.1109/reepe63962.2025.10970996
Primary Topic
Image Processing and 3D Reconstruction
Type
article
Field-Weighted Citation Impact
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article

On the Possibility of Creating Energy-Efficient Mesh Network to Prevent Forest Fires and Provide Video Surveillance of Hard-to-Reach Areas

Igor Ivanov, Danila Pavlovich Posevin, D. Kochetkov, Artem D. Penkin et al.
Image Processing and 3D Reconstruction
article

On the Possibility of Creating Energy-Efficient Mesh Network to Prevent Forest Fires and Provide Video Surveillance of Hard-to-Reach Areas

Igor Ivanov, Danila Pavlovich Posevin, D. Kochetkov, Artem D. Penkin, Nikita D. Nashchekin
article en

Abstract

The paper considers the possibility of creating an energy-efficient mesh network for video monitoring of hard-to-reach areas, such as forests, tunnels and mountainous areas, in order to prevent forest fires. The main focus is on the use of decentralized MANET networks, which do not require infrastructure and have a low deployment cost. The paper proposes a prototype of a hardware and software system based on ESP8266 microcontrollers, using the painlessMesh library to transmit images between end nodes. Tests were carried out to determine the network throughput and optimal data transmission parameters depending on the required image quality and acceptable losses.

Bauman Moscow State Technical University (RU)
Affordable and clean energy
Openalex Percentile: Top 92%
Image Processing and 3D Reconstruction
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On the Possibility of Creating Energy-Efficient Mesh Network to Prevent Forest Fires and Provide Video Surveillance of Hard-to-Reach Areas — Igor Ivanov, Danila Pavlovich Posevin, et al. · (2025) | TGRS Research Map | TGRS