Mobile fleet localization model via RSSI, TOA and TDOA in wireless sensor networks

Wireless sensor networks are created using low cost, low power sensor nodes to collect useful information from a targeted environment in various applications. Location estimation is one of the areas where these networks can be exploited. Main aim of this study is to control a fleet via wireless sensor networks that only leader vehicle has human control. Instead, some of the vehicles can be equipped with GPS receivers and the rest of fleet can find their own position via RSSI (Received Signal Strength Indication), TOA (Time of Arrival) and TDOA (Time Difference of Arrival) methods. Based on our MATLAB based simulations, we analyze the relationship among various factors such as GPS (beacon) node number and distance etc. Simulation results show that location estimation errors can be significantly reduced with right beacon node number selection and correct positioning of nodes.