A clustering approach to improve VANETs performance

Vehicular ad-hoc network (VANET) is a technique that uses cars moved in cities or highways as nodes wireless networks. Each car these networks works router and allows the range to communicate with each other. As result of this movement, some will become out range, but can connect internet This research proposes unique clustering strategy improve performance by making their clusters more stable. One biggest problems face traffic data, which consumes resources. Agent based modeling (ABM) evaluates better The evaluation showed proposed surpasses earlier techniques reachability throughput, ad hoc on-demand distance vector (AODV) (on-demand/reactive) outperforms it total received since our hybrid approach needs than AODV.