IOT BASED FOREST TRACKER USING LORA MODULE

Electronics and Telecommunication Engineering

Currently, Millions of hectares of timber worldwide are affected annually by fires. Due to which it beget loss in mortal lives, beast lives, coffers and causes air pollution. The problem is indeed lesser in timbers that aren't guarded and don't have communication systems available. therefore, in recent times, have been proposed colorful systems that use bias grounded on Internet of Things( IoT) for real- time timber fire discovery. The technology of the Internet of Things( IoT) has flourished in colorful diligence and request around the world. The agrarian is one of the areas to profit from IoT technologies. LoRa is one of the most habituated network radios in the IoT network technology structure. LoRa is frequently used in agrarian IoT not only for its long- range but also due to veritably low power operation and significant cost advantage. It's able of snappily detecting timber fires on long wide distance. The utmost of the system are using LoRa( Long Range) technology grounded on LoRaWAN( Long Range Wide Area Network). The Internet of Things (IoT) has emerged as a powerful technology that can be utilized for various applications, including environmental monitoring. One critical application of IoT is forest tracking, where real-time monitoring of forest parameters can help prevent forest fires, detect illegal logging, and monitor wildlife activities. In this abstract, we propose an IoT-based forest tracker system that utilizes Long Range (LoRa) modules for communication. The proposed system consists of a network of sensor nodes deployed in a forest area, each equipped with various sensors to collect data on parameters such as temperature, humidity, air quality, and presence of smoke. These sensor nodes are connected to a central gateway, which serves as a communication hub and is equipped with a LoRa module for long-range communication. The gateway is connected to the internet, allowing for remote access and monitoring of the forest parameters. The collected data from the sensor nodes is transmitted to the gateway using the LoRa communication protocol, which provides long-range, low-power, and secure communication suitable for forest environments. The gateway receives the data and sends it to a cloud-based server for storage and analysis. Advanced data analytics techniques can be applied to the collected data to detect anomalies, such as sudden changes in temperature or presence of smoke, which may indicate a potential forest fire or illegal logging activity.

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