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March 17, 2026International Journal of Computational Vision and Robotics0 citations

Integrated IoT-WSN forest fire detection system using FoCnn for enhanced monitoring in Dalma Sanctuary

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SLSuprava Ranjan LahaBPBinod Kumar PattanayakRMRina Mahakud

Key Points

  • The aim is to develop a forest fire detection system leveraging IoT and WSN technologies for improved monitoring.
  • Integration of Internet of Things (IoT) with Wireless Sensor Networks (WSN)
  • Application of FoCnn (Focal Convolutional Neural Network) for data analysis
  • Deployment of sensors across the Dalma Sanctuary for real-time monitoring
  • Significant improvement in fire detection speed and accuracy
  • Enhanced monitoring capabilities prevent potential forest fire damages
  • Increased effectiveness compared to traditional detection methods

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Cite This Study

Laha et al. (2026) studied this question.

synapsesocial.com/papers/69b8ef6ddeb47d591b8c5898https://doi.org/10.1504/ijcvr.2026.10077016
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