Improved Data Dissemination Protocol for VANET Using Whale Optimization Algorithm

Abstract

In VANET, the process of data dissemination used to improve the quality of travel to avoid unwanted accidents. Many existing protocols use such type of message activities to ensure fair road safety without concentration on network congestion. As the control overhead data packet increases, the congestion on node increases; therefore the paper proposes an optimal adaptive data dissemination protocol (OADDP). This uses control overhead reduction algorithms and optimal clustering mechanism to improve overall data dissemination quality and to minimize network congestion. The Whale optimization Algorithm (WOA) is used for clustering and cluster head (CH) selection. Here, the CH node acts as a candidate (relay) node to forward data from source to destination. To diminish overhead on nodes, we use the predictor-based decision-making (PDM) algorithm. The proposed OADDP is simulated and compared with ADDP in variable traffic flow. Simulation results exhibit better performance with higher data dissemination efficiency and lower collision rate.