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Forest Fire Alarm System Using IoT

EasyChair Preprint no. 12801

5 pagesDate: March 28, 2024


Forest fires are a major threat to our environment and can cause significant damage to forests, wildlife, and nearby communities. One way to mitigate the impact of forest fires is by detecting them early and taking appropriate action. In recent years, the Internet of Things (IoT) has emerged as a powerful tool for monitoring environmental conditions in real-time. In this context, an IoT-based forest fire alarm system can be an effective solution to detect forest fires at an early stage and alert the authorities to take timely action. The proposed forest fire alarm system uses a combination of sensors, wireless communication, and cloud computing technologies to monitor and detect forest fires. The system consists of multiple sensor nodes deployed in the forest area, which are connected wirelessly to a central node or gateway. These sensor nodes can be equipped with various sensors such as temperature, humidity, and smoke detectors, which can detect changes in the environment that may indicate the occurrence of a forest fire.The sensor data collected by the sensor nodes is transmitted wirelessly to the central node, which processes the data and sends an alarm signal to the cloud server if a forest fire is detected. The cloud server can then send an alert message to the authorities or other stakeholders via email, SMS, or other communication channels. The proposed system has several advantages over traditional forest fire alarm systems. Firstly, it can detect forest fires at an early stage, which can help prevent or minimize the damage caused by the fire.

Keyphrases: communication channel, damage, detection, FireAlarm, forest, IoT

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Kanthi Vivek and Kondepati Ayyappa and Karnati Vinayaka and Keerthi Rishika and Kishori Shekokar},
  title = {Forest Fire Alarm System Using IoT},
  howpublished = {EasyChair Preprint no. 12801},

  year = {EasyChair, 2024}}
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