Vehicular adhoc networks are slowly gaining importance as the demand for faster communication increases. The vehicular nodes need to communicate securely via an established and effective route. Control and protocol information between the vehicles is transmitted using the technique of broadcasting. The nodes are never stagnant and even though their energy rarely dissipates, the high mobility of the nodes poses quite a problem. Lack of an established infrastructure is a major issue and needs to be addressed in order to achieve maximum performance. We have designed a novel waterfall model focusing on a robust broadcasting method. The OLSR protocol is enhanced using a robust MPR technique, which helps in mitigating the circulation of duplicate packets within the network. The RMPR subset of the OLSR protocol is capable of handling transmission errors and the hidden and exposed terminal problems prevalent in the VANET environment. The inclusion of a waterfall model enables the proposed technique to maximize throughput and minimize the delay in the network. The waterfall model works in two major phases. The first phase incorporates the Cognitive radio scheme for effective channel allocation and utilization.The RMPR technique is implemented in the second phase which focuses on utilizing the neighbor nodes to transmit the packets successfully towards the destination. The RMPR scheme aims to categorize the neighboring nodes as either one hop or 2-hop neighboring nodes. Additionally, the uncategorized nodes are further probed to find a second subset of 2-hop nodes which would speed up the transmission. The implementation of these two important phases into the classic waterfall model helps to streamline the activities and helps in streamlining the network activities.The proposed waterfall model RMPR technique is analyzed with protocols like MMPR–OLSR and the OLSR protocols to determine the effectiveness of the proposed protocol. The performance analysis is carried out using the NS2 simulator. The techniques that are compared are evaluated using major network parameters like throughput, delay, PDR and channel utilization. It is evident that the proposed protocol is able to maximize the PDR than the existing techniques.