Optimization of Routing Protocol for Underwater Acoustic Sensor Network Using Modified Lion Algorithm Over DPSO

This chapter aims to develop an Energy Optimization routing protocol to reduce delay, energy usage, and normalised routing overhead in Underwater Acoustic Sensor Networks (UASN) by using the Novel LION Optimization Algorithm instead of the Discrete Particle Swarm Optimization algorithm. A 20 samples were considered for the process in two groups and each group contains 10 samples were collected with pre-test of 80% power. For the group 1 the LION Optimization algorithm is used, whereas Discrete Particle Swarm Optimization algorithm is used in group 2. The measures of average energy consumption, delay, and normalised routing overhead from network were measured through simulation using NS 2 simulator. The statistical analysis of the performance measures was calculated Using SPSS Software. For vigorously varying environmental and geographical topology condition the proposed novel LION optimization algorithm achieve 12% of reduction in delay, provides 20% of energy consumption and achieves 40% of Normalized routing overhead when compared to Discrete Particle Swarm Optimization algorithm. Observed statistical analysis reveals that the significant value of P is less than 0.05 was achieved. The proposed LION Optimization algorithm performs drastically better energy efficiency than DPSO algorithm which changed into determined from simulation results.