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

Simulation code for RSSI-based positioning in wireless sensor networks, specifically designed for one-dimensional mine environments with detailed path loss modeling and coordinate calculation functions

MATLAB Implementation of RSSI Localization Algorithm with Maximum Likelihood Estimation and Least Squares Method

Implementation of RSSI-based localization algorithms using Maximum Likelihood Estimation (MLE) and Least Squares Method (LSM) approaches with detailed MATLAB code explanations and parameter optimization techniques

RSSI Localization Algorithm

In this algorithm, RSSI measurements are generated using a logarithmic path loss model. To minimize errors caused by signal fluctuations, the RSSI values are obtained by averaging multiple measurements. Additionally, the reference distance path loss and path loss exponent parameters in the logarithmic path loss model can be mutually estimated through measurements between reference points.