Hybrid Bioinspired Algorithms for UWSNs: Combining Genetic Algorithm and PSO

This work proposes a GA-PSO Metaheuristic Algorithm to improve the throughputs and network efficiency of the UWSNs based on using a new technology of WSNs which is Underwater Wireless Sensor Networks. In response to the difficulties of underwater communication, a hybrid GA-PSO algorithm is designed to fit the needs, where GA excels in search capabilities, and PSO accomplishes optimization adjustments. The realistic network model was developed using realistic network topology with MATLAB NS-3 and the integrated GA-PSO hybrid approach was found to significantly enhance the throughput energy efficiency and overall network lifetime as compared to the other routing protocols GA & PSO individually. Based on these findings, it could therefore be concluded that the proposed hybrid bioinspired algorithms can potentially help enhance the efficiency and dependability of UWSNs significantly.