Computational intelligence-inspired clustering in multi-access vehicular networks

There is an increasing demand for distributing large amounts of digital information to vehicles on the move. However, the current widely used cellular networks are not sufficient due to limited bandwidth in dense vehicle environments. Recently, vehicular ad hoc networks (VANETs) have attracted great interest for improving communications between vehicles using infrastructure-less wireless technologies. IEEE 802.11p is the default standard for providing vehicle-to-vehicle (V2V) communications in VANETs.