MIMO Optimized Algorithm to Develop the Energy Efficiency Underwater

Underwater wireless sensor networks (UWSNs) are hampered by energy. The cooperative multiple-input-multiple-output (MIMO) technique saves strength. However, energy-efficient system design Cooperative multiple-input and multiple-output (MIMO) approaches don't account for the undersea environment's unique features, such as node dispersal. This research examines underwater magnetic induction (MI)-assisted therapeutic cooperation approaches. MIMO, WSNs may improve throughput, SNR, and connection. Cooperative MIMO and data aggregation were used to investigate. A framework improves network energy efficiency. To analyze data transmission energy use, a mathematical model will be constructed. Considering node data correlation. This work provides a combined MIMO system size optimization technique. This method views awaited transmittal distance. Transmission power limits must be included in the study. A competitive and cooperative MIMO creation method. Master node (MN) choice and concerted MIMO size optimization may boost the zip ratio. Simulations show that the suggested system saves energy and extends use. The network lasts longer.