DESIGN AND IMPLEMENTATION OF AN AUTOMATED AND SCATTERED POLLUTION TRACKING SYSTEM WITH LORAWAN

This study addresses a decentralized IoT-based system for automated air and water quality measurement, storage, and monitoring in contexts which including ponds, hills, cities, and industries. Similar government methods allow human input to extract data, or demand a great deal of power or equipment, or are built on centralized structures. On one side, the suggested pollution monitoring system uses LoRa to handle IoT standards high power dissipation and long-range transmission problems. Assertions on multiple sensing devices for monitoring potential hydrogen (PH), turbidity, carbon monoxide (CO), and carbon dioxide (CO2) demonstrated a high precision with the estimated time of measurements, quasi calculated data obtained, which could be used as factual information of pollution existence