An Improved Whale Optimization Algorithm Based Secure and Energy-Aware Clustering in Vehicular Ad hoc Network

The Vehicular Ad hoc Network (VANET) is a mobile network which enables a numerous intelligent transportation system. The secure routing is significant to prevent mobile devices from other threats so, the effective characteristics in VANET are utilized to attain an efficient secure routing path. The high vehicle distribution and node mobility compromises the network scalability and topology. So, creating the reliable and scalable vehicle communication, network physical layout formation, unstable link to enable robust are difficult task in traffic network. In this research, novel optimization algorithm is considered with transmission range, speed direction, grid size and node density during the clustering. The Improved Whale optimization Algorithm for clustering in VANET (IWOA) is proposed for selecting an optimal Cluster Head (CH). Primarily, the optimal CH are selected by using IWOA and then the route path is selected. The simulations are performed and then the experiments are conducted on the IWOA. The performance of IWOA is evaluated using throughput, Packet Delivery Ratio (PDR) and latency by various rounds of 30, 40, 50, 60 and 70. The IWOA attained high throughput of 6. 87mbps and PDR of 0.93 with less latency of 0.10s which is superior than other existing algorithms.