Real-Time Analysis of a Novel Approach for Localization and Tracking of a Mobile Node

This paper investigates the performance of a modified particle filter algorithm for tracking and localization of a mobile node. A modified particle filter algorithm is used to track the mobile node, with the aim to reduce the execution time. 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. Performance is evaluated interms of execution time and root mean square error (RMSE). 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. This work does not rely on only the simulation model to evaluate the performance of the proposed technique. Experimental real-time analysis are carried out to identify practical limitations of the proposed scheme and to ensure a fair evaluation under realistic operating conditions.