Hybrid Optimization Algorithm for Effective Clustering algorithm and Routing Protocol in MANET

Mobile Ad-Hoc Network (MANET) is self-configuring WSN which doesn't need any specific infrastructure due to their pure dynamic network. The efficient clustering and routing are growing attention in the background of limit energy resources and environment friendly transmitting behaviors. In this paper, Ant Bee Colony and Whale Optimization Algorithm (ABCWOA) algorithm is proposed for effective clustering and routing in MANET. The optimal cluster head and route paths are selected by utilizing the proposed optimization algorithm. The developed ABCWOA algorithm minimizes the nodes' energy utilization while increasing the data transmission in MANET. The performance of developed algorithm is estimated by utilizing performance measure of throughput, network lifetime, delay and energy consumption. The proposed algorithm attained the high throughput of 0.97 Mbps, 0.99 Mbps, 0.99 Mbps and 0.99 Mbps for 50, 100, 150 and 200 nodes which is superior than other existing algorithms like Particle Swarm Optimization (PSO), Cuckoo Search Optimization (CSO), Ant Bee Colony (ABC) optimization and Whale Optimization Algorithm (WOA).