Research on location prediction of vehicular networks
Lin Chen, Shutao Wei, Linxiang Shi · 2009
Location information is very important for many applications of vehicular networks such as routing, network management and safety. However, the mobility of vehicle usually results in many location errors. To solve the problem, various prediction schemes have been proposed. In the paper, by Rough sets theory, a novel location prediction technique LPVN that incorporates the vehicle position information, digital map data and traffic knowledge was presented. Through simulation of traffic simulator, we observe that the LPVN performs better than other schemes LVP, WVP, RTBP.