A Robust Scheme for Tracking of a Mobile Node using WiFi Signals

This paper evaluates the performance of a novel algorithm for tracking of a mobile node, interms of execution time and ischolar_main mean square error (RMSE). Particle Filter algorithm is used to track the mobile node, however a new technique in particle filter algorithm is also proposed to reduce the execution time. The stationary points were calculated through trilateration and finally by averaging the number of points collected for a specific time, whereas tracking is done through trilateration as well as particle filter algorithm. Wi-Fi signal is used to get initial guess of the position of mobile node in x-y coordinates system. Commercially available software "Wireless Mon" was used to read the WiFi signal strength from the WiFi card. Visual C++ version 6 was used to interact with this software to read only the required data from the log-file generated by "Wireless Mon" software. Results are evaluated through mathematical modeling and MATLAB simulation. The proposed method has the advantage of being based on analytical calculations, which gives closed formulas for the position estimates. Therefore, the implementation of the algorithm is simple and suitable for nodes of limited computational power, while still sufficiently accurate for use in indoor or outdoor environments.