0000000000707447

AUTHOR

Jaroslav Frnda

0000-0001-6065-3087

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Wildfire Monitoring Based on Energy Efficient Clustering Approach for FANETS

2022

Forest fires are a significant threat to the ecological system’s stability. Several attempts have been made to detect forest fires using a variety of approaches, including optical fire sensors, and satellite-based technologies, all of which have been unsuccessful. In today’s world, research on flying ad hoc networks (FANETs) is a thriving field and can be used successfully. This paper describes a unique clustering approach that identifies the presence of a fire zone in a forest and transfers all sensed data to a base station as soon as feasible via wireless communication. The fire department takes the required steps to prevent the spread of the fire. It is proposed in this study…

VDP::Teknologi: 500Artificial IntelligenceControl and Systems EngineeringVDP::Landbruks- og Fiskerifag: 900::Landbruksfag: 910clustering; energy efficiency; WSN; FANETS; LEACH; IoTAerospace EngineeringComputer Science ApplicationsInformation SystemsDrones
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