Localization Error Computation for RSSI Based Positioning System in VANETs

Abstract

Vehicular Ad-hoc Networks (VANETs) is the most eminent field nowadays in Intelligent Transportation System. Applications included emergency alerts, positioning, and tracking of vehicles. Vehicle Localization in municipal areas is a major issue for protection applications. Many solutions have been provided including Global Positioning Systems (GPS) but these applications do not provide accuracy. Hence, a novel approach has been proposed here known as Received Signal Strength (RSS) Based Localization which aims to find accurate location of a target vehicle. It provides communication with Road Side Units (RSUs) by receiving signal within its range, and finds the average RSS. After the RSS has been found it is aided to the RSS Based Localization algorithm which finds accurate location of the vehicle. The main factor of proposed algorithm is its high signal to noise ratio which is obtained from the closest RSU. After the location of the vehicle is found, its Cramer Rao Lower Bound is analyzed. All the simulations performed shows that our suggested RSS based Localization are better than others traditional least squares and weighted least squares techniques.