IoT–Fog Enabled Framework for Forest Fire Management System
S. Srividhya, Suresh Sankaranarayanan
Abstract
The Forest fires are one of the most critical catastrophes which has been initiated mostly by global warming. Due to environmental pollution, nature can make this threat even worse by destroying themselves and mankind. Forest management and wild life department are handling many problems such as rehabilitating wild animals, migration of animals to residential regions. The strength of the trees has drastically decreased which lead to unhealthy forest environment. It has been analyzed from the yearly survey that 85% losses in forest calamities are due to wild fire. In recent years, few works have been carried out on forest management using wireless sensor networks. However, forest management with the help of wireless sensor networks are still having issues in the quality of data, delay in arrival. Currently there is big wave of IoT and Edge computing deployed in lot of smart city applications for processing the data closer to devise for quick action rather than cloud. Also issue of bandwidth, latency and delay in processing data is avoided with Edge/Fog computing in IoT. So, with this as basis, we propose an IoT-Fog based Forest Fire Monitoring system. The proposed IoT - Fog based framework for forest fire management system is used for monitoring and alerting to safeguard the trees and wild life. The detailed architecture been explained in the paper.