VEHICULAR NETWORK DECONGESTION USING SMART TRAFFIC MANAGEMENT
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Abstract
The vehicular ad-hoc network (VANET) is the network of vehicles, which is designed to enable the multi-service architecture across the vehicular networks. The VANETs are the network of the moving nodes on adequately higher speeds, which create the great challenge to gain and through the data from and to the vehicular nodes on the move. The VANETs are used to predict the traffic jams, hurdles or blockades produced due to tree falling, avalanche, flash flood, etc. The minimized delay oriented vehicular networks must be designed over the high speed transmission podium along with efficient data transmissions with optimized number of topology, hello and update packets. In this paper, the major improvements have been proposed in the hazard routing protocols (HRPs) specifically designed for the vehicular networks. The optimized number of hello packets, minimized topology packets and dedicated routing models are involved in the design of the proposed efficient data handling model. This model has undergone the variety of versatile performance evaluation experiments, which proves the improved performance of the proposed model. The maximum delay in the simulation model has been recorded nearly at 0.064 microseconds, which is considerably lower than the existing model. Also the proposed model has been designed to lower the data loss rate by 0.4%, which also proves the robustness of proposed model in comparison to existing model.
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