ESP32-Based Water Monitoring System Using Wi-Fi, LoRa, and Cellular Telecommunication Networks

Efficient water monitoring is a critical requirement for smart cities, agriculture, and industrial automation. Traditional wired monitoring systems lack scalability and realtime responsiveness, particularly in geographically distributed environments. This paper presents an ESP32-based intelligent water monitoring system that integrates Wi-Fi, LoRa, and cellular communication networks to enable reliable, long-range, and real-time data transmission. The proposed architecture supports multi-parameter sensing, including water level, flow rate, and quality indicators, while dynamically selecting the most suitable communication technology based on deployment constraints. Mathematical modeling of sensor measurements, energy consumption analysis, and communication latency evaluation are presented. Experimental results demonstrate that the hybrid communication approach significantly improves coverage, reliability, and energy efficiency compared to single-network solutions, making it suitable for next-generation smart water management systems.

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