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 infrastructures are promising technological developments in that direction. However%2C in practice%2C the ability to detect forest fires in an effective way using distributed sensor nodes is challenging to achieve. In this short paper%2C we exemplify this challenge based on a case study that uses real data collected from the Low-Cost Internet of Things Sensor of Haze Air Quality Disasters in Communities in Thailand and Southeast Asia (SEA-HAZEMON) platform. The work is a preliminary step towards assessing the efficacy of a real-life fire detection system based on distributed sensor nodes. More generally%2C the objective is to develop a set of practical guidelines for the design of a 6G-enabled IoT-based fire detection mechanism.?quality=80&w=800)
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