Wireless Sensor Network to Determine the Moisture Level & Energy Efficiency of Soil

The cluster head selection process is based on a node with a minimum average distance to all other nodes. Each sensor node then sends its moisture level to the cluster head, which calculates the average moisture level based on the received data. In a real-world scenario, we need to consider more factors, such as communication protocols, energy consumption, data aggregation techniques, error handling and deployment strategies. The code represents the basic simulation of a wireless sensor network for soil-moisture monitoring. It defines a network with multiple sensor nodes and cluster head. Each sensor node measures the soil properties (e.g., moisture and temperature) and transmits the data to the cluster head. The cluster head collects data from all the sensor nodes and computes the energy efficiency of the soil based on the received data. This code represents a basic simulation of a wireless sensor network for soil monitoring with a major focus on energy efficiency. Each sensor node measures the soil properties and transmits data to the cluster head. The cluster head then computes the energy efficiency of the soil based on the received data. In a real-world scenario, we would need to consider more factors, such as sensor calibration, data fusion, accuracy of measurements, and more sophisticated models for computing soil energy efficiency. [1]