Simulation of RSSI-based Localization Algorithm for Wireless Sensor Networks in One-Dimensional Mine Environments

This article explores the implementation of RSSI (Received Signal Strength Indicator) localization algorithm simulation code for creating wireless sensor networks in one-dimensional mine environments. In these confined underground settings, an efficient method for tracking sensor positions and movements becomes crucial. The RSSI algorithm utilizes signal strength measurements between nodes to estimate distances and determine precise sensor coordinates through trilateration techniques. The simulation incorporates key components including path loss modeling to account for mine tunnel attenuation characteristics, signal filtering for noise reduction, and coordinate calculation functions. We provide detailed implementation insights covering distance estimation using log-normal shadowing models, position calculation algorithms, and validation methods for accuracy assessment. The accompanying simulation code demonstrates practical application scenarios, enabling researchers to easily adapt the solution for their specific mining monitoring and management projects.