Weighted Centroid Localization Algorithm with MATLAB Simulation

This document presents MATLAB simulation modeling and an RSSI-based weighted centroid localization algorithm. Specifically, MATLAB simulation serves as a powerful tool for developing and testing various systems, including signal processing, communications, and control systems. The RSSI-based weighted centroid algorithm is a technique for determining device positions in wireless networks, utilizing weighted centroid calculations derived from Received Signal Strength Indicator (RSSI) measurements to estimate device locations.

From an implementation perspective, the MATLAB simulation typically involves: creating a wireless node deployment model, calculating RSSI values based on distance-dependent path loss models, and applying weight factors inversely proportional to signal strength variance. The core algorithm computes weighted coordinates using the formula: (x,y) = Σ(w_i × (x_i,y_i)) / Σw_i, where weights w_i are determined by RSSI reliability metrics. These techniques hold significant importance in modern technology as they address practical challenges like wireless positioning, indoor navigation systems, and IoT device tracking, with MATLAB providing ideal prototyping capabilities through its signal processing toolbox and matrix computation features.