International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 8, Issue 3 (May-June 2026) Submit your research before last 3 days of June to publish your research paper in the issue of May-June.

Forest Fire Detection System Using IOT

Author(s) Mr. Aman Singh Patel, Mr. Mayank Agnihotri
Country India
Abstract All over the world, forest fires are an issue. The environment is very much affected by forest fires. Forest fires are expensive to remedy. Forest fires are also hazardous to the lives of people. The traditional ways of discovering forest fires such as watchtower and space photography are not so good. The time honored ways may take long to inform us of forest fires. These traditional practices are not applicable to all the regions where forest fires may occur. Forest fires may occur in any place. These traditional approaches are also quite costly. The system discussed in this paper involves the use of the Internet of Things and a Wireless Sensor Network with Long Range to have an eye on forest fires at any given time. It sends alerts away upon finding something. To discover forest fires, one of the methods is the Internet of Things forest fire detection system. The Wireless Sensor Network with Long Range communication is indeed handy in monitoring forest fires 247 and providing warning. There are numerous sensor nodes in the system, which are distributed here and there. Internet of Things and the Wireless Sensor Network, which has Long Range communication collaborate to monitor forest fires. The sensor nodes have sensors that are able to determine the temperature and humidity level. If there is smoke. They possess something known as ESP32 microcontroller as well. The ESP32 microcontroller transmits the information received by it as a result of the sensor nodes to an area with the help of LoRa. The ESP32 microcontroller is used to transmit this information to the place by the sensor nodes. The ESP32 microcontroller sends the information, provided by the sensor nodes using LoRa. The central place is a sort of a portal. It obtains all the data on the sensor nodes. Thereafter, it transmits this data to an online system. This platform resembles a computer. The sensor nodes transmit the information to place and the central place transmits this information to the platform. The sensor node information can be stored in the platform. Show it. The sensor node information can be viewed on a webpage or on a phone. On the platform, one can access the information provided by the sensor nodes. The sensor nodes are capable of detecting things which are abnormal such as excessive temperatures. Should they do they will send you away a message of the system. You are able to access these messages in your phone. They are available in a text message. The system is constantly studying the information that it receives in the sensor nodes. It will inform you whether there is anything wrong with sensor nodes. The sensor. The system communicates with each other to ensure that all is well with the sensor nodes. In testing the system, the results indicated that the system is capable of transmitting alerts of the sensor nodes, between start and finish within less than 10 seconds. The fire alarm system consumes minimum power. This is because the batteries of the fire detection system can last over 8 months. This system assists in accumulating a system that ensures saving of lives and nature through its productive means without any inactivity that relates to fire that can lead to hazards that eventually bring the loss of humanity.
Keywords Fire detection System Internet of Things (IoT) Wireless Sensor Network (WSN) LoRa real-time monitoring early warning system alert warning system.
Field Computer > Electronics
Published In Volume 8, Issue 3, May-June 2026
Published On 2026-05-30

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