A novel fuzzy approach to urban vehicle location scheme based on fuzzy Kalman filtering

摘要

Location information is very critical to vehicular ad-hoc networks (VANETs) such as navigation, routing, network management, road congestion, etc. In this paper, the vehicle location problem under urban road conditions is investigated by combining with GPS, WiFi, Cellular Network (CN) positioning systems and by employing neighbor vehicle utilization in VANETs. Since that GPS is affected by satellite signal impacted with urban mobile vehicle environment, WiFi is only suitable for urban areas, and CN is affected by the number of Base Stations (BSs) and signal strength, a novel fuzzy-weighting locating mechanism based on a fuzzy Kalman filter approach is constructed by enhancing their individual positioning features. Finally, experiment results are given to show effectiveness and merit of the proposed approach.