Green IoT Framework for Deep Forest Surveillance

Abstract

Forests are one of the essential natural resources required to preserve the planet’s ecological equilibrium. This paper offers a technique for creating an extensive environmental monitoring system. Along with that, it keeps an check over illegal activities taking place nearby, such as invasion into reserved forest areas and natural calamities like forest fire. The datas will be captured, classified, and reported to the official by the device. This can be accomplished by interfacing various sensors like an flame sensor, an ultrasonic sensor, and a DHT sensor with Arduino Nano board. Additionally, it offers guidance on safety measures and has the capacity to forecast natural calamities. Results are compared to numerous cutting-edge methods for figuring out total performance. The concern of finite energy supplies, however, affects the sensor nodes used in such networks. Keeping this concern in mind, energy can be saved to a greater extend by implementing green IoT technologies. The continual changes in temperature and humidity may be observed using the Adafruit cloud platform. The internet connectivity that connects Arduino to the Adafruit platform is provided by Node MCU. Wi-Fi is the transmission technique used in this. Real-time application of Lora WAN technology is possible to link sensors to cloud platforms.