Energy Efficient Routing in Underwater Acoustic Sensor Network Using Crow Optimization Algorithm Over Aodv

The proposed work aims to provide an Energy Optimization routing protocol to enhance Underwater Acoustic Sensor Networks (UWASNenergy)'s efficiency, packet delivery ratio, and normalised routing overhead using the Novel CROW Optimization algorithm in comparison to the AODV Optimization algorithm. The number of samples taken for the two groups is 20. Each group containing a pre-test power of 80% led to the collection of 10 samples. A novel CROW optimization technique is used in group 1, while an AODV algorithm is used in group 2. The NS 2 simulator carries out simulation and measures network performance using the metrics of average energy consumption, delay, and normalised routing overhead. Using SPSS Software, a statistical analysis was performed. A novel CROW optimization algorithm achieves 15% of energy consumption, 25% of delay and 2% of Normalized routing overhead when compared to AODV algorithm. A statistical analysis reveals that the significant value that was achieved is (P < 0.05). The simulation results show that novel CROW optimization algorithm performs significantly better energy efficiency than AODV algorithm.