A novel direction-based clustering algorithm for VANETs

Vehicular ad-hoc networks (VANETs) play a crucial role in the context of smart transportation, a fundamental dimension of smart cities. Network scalability and stability are identified among the main challenges in VANETs. In response to these challenges, this paper proposes a novel direction-based clustering algorithm (DCA) for VANETs. DCA employs a well-known clustering metric in a novel manner, and performs clustering with reduced overhead and at very high performance levels. Extensive simulation-based testing demonstrates how the proposed solution increases the stability of vehicular networks and deals better with the scalability of these networks when compared to a well-established VANET-dedicated clustering algorithm