Abstract: Forests are part of the important and indispensable resources for human survival and social development that protect the balance of the earth ecology. In recent years, the frequency of forest fires has increased considerably due to climate changes, human activities and other factors. Currently, Forest Fire prevention methods largely consist of Patrols, Observation from watch towers, Satellite Monitoring. To restrict smuggling of forest resources and to save the forests from fires around the globe some preventive measures need to be deployed. Although observation from watch towers is easy and feasible, it has several defects. In the first place, this method requires many financial and material resources and a trained labor force. Second, many problems with fire protection personnel abound, such as carelessness, absence from the post, inability for real-time monitoring and the limited area coverage.
We are developing such a system using WSN which can be used to restrict this smuggling and to help our natural vegetation form forest fires. animal detection have been an important field in order to have a better understanding on animal behavior and to restrict the damages done to humankind when they are outside the forest by reporting to authority immediately. In this project we propose a wireless sensor network paradigm for real-time forest fire and conservation detection. The wireless sensor network can detect and forecast forest fire, increase in carbon-dioxide, decrease in soil moisture and also falling of trees more promptly. This project mainly describes the data collecting and processing in wireless sensor networks for real-time forest fire and conservation detection. In this project to the neck of animal this light weight designed system is attached such that spark generating sensor will be very close to the body of that animal. Thus, if it goes over boundary line it is sensed and sends to micro controller properly. Uses ZIGBEE modem to send signals and from there it will be sent to Server Room.
Keywords: Wireless Sensor Networks (WSN), Forest Monitoring, ZIGBEE, Spark Generating Sensor, Forest Fires.
Cite:
Renita Pinto, Pramith Aithal, Pratheek, Sagar K C, Shreyas P, "Forest Monitoring using WSN", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 3, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.133124.
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DOI:
10.17148/IJARCCE.2024.133124
