RSSI-Based Wireless Localization Algorithm Implementation

This article presents a comprehensive implementation of an RSSI (Received Signal Strength Indicator) based wireless localization algorithm. This positioning technique determines the location of objects or personnel by analyzing wireless signal strength measurements. The core algorithm involves signal strength data collection, distance estimation using path loss models, and triangulation/trilateration methods for coordinate calculation.

While this algorithm offers significant advantages including reliability and reasonable accuracy in controlled environments, it faces challenges such as signal interference, multipath fading, and environmental attenuation. Key implementation components include signal preprocessing filters, calibration routines for different environments, and error correction mechanisms to handle signal fluctuations.

We recommend further investigation into this algorithm's performance under various conditions, including studies on adaptive path loss exponent estimation and machine learning-based signal correction techniques. Such research will provide valuable insights for future technological enhancements in wireless positioning systems.