IoT-Based Wireless Sensor Network Simulation For Water-Saving Irrigation Monitoring Using Cooja
Abstract
Water scarcity is one of the most critical challenges in modern agriculture, requiring efficient and intelligent irrigation management solutions. This study presents an IoT-based wireless sensor network (WSN) model for remote monitoring of water-saving irrigation systems. The proposed system integrates clustered sensor nodes for monitoring soil moisture, temperature, humidity, and environmental parameters. Network performance and reliability were evaluated using the Cooja simulation environment under different routing and energy consumption scenarios. Key performance metrics, including average hop count, energy consumption, and packet delivery behavior, were analyzed. Simulation results demonstrate that the proposed model ensures reliable data transmission, reduced energy consumption, and improved network stability. The obtained findings confirm the suitability of the proposed architecture for real-time irrigation monitoring applications in resource-constrained agricultural environments.