Mobility data verification for vehicle localization in Vehicular Ad Hoc Networks

Many Vehicular Ad Hoc Networks (VANETs) applications require the vehicle's location information to be available at anytime and anywhere within the network. Vehicle-to-vehicle (V2V) communication allows the exchange of mobility data, which includes position, speed and heading information, that can be used for location estimation. However, if the exchanged mobility data contains invalid or wrong information, the performance of the localization method and the network in general will be affected. Therefore, it is very important to validate the mobility data. In this paper, we address this issue and propose a solution to mitigate the impact of incorrect mobility data in vehicle localization. We develop simulations to evaluate and validate our proposed verification system. We apply the proposed system to our previously developed localization method, optimized weighted localization (OWL). The results show that our solution has successfully detected untrusted vehicles and hence improved the performance of the localization method.