Computational intelligence-inspired clustering in multi-access vehicular networks

Phys.org June 28, 2018
Vehicular ad hoc networks (VANETs) have attracted great interest for improving communications between vehicles using infrastructure-less wireless technologies. To overcome the shortcomings of the VANETs, an international team of researchers (Japan, Finland) has proposed a two-level clustering approach where cluster head nodes in the first level try to reduce the MAC layer contentions for vehicle-to-vehicle (V2V) communications, and cluster head nodes in the second level are responsible for providing a gateway functionality between V2V and LTE. Simulation results under various Network conditions show that the proposed protocol can achieve 23% throughput improvement in high-density scenarios compared to the existing approaches… read more. TECHNICAL ARTICLE 

Integration of LTE and IEEE 802.11p with clustering. Credit: University of Electro Communications

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