Design and development of an underwater wireless sensor network for aquatic monitoring

There is a lot of potential for underwater study and application in the rapidly developing field of underwater wireless sensor networks (UWSNs). Because of the depth of node deployment, which makes it nearly impossible to capture solar energy, the sensor nodes in this case are battery-powered and challenging to recharge. Thus, system design requires an energy-efficient strategy. useful method for creating an energy-efficient UWSN is clustering. The grouping properties of UWSNs vary from those of earthly remote sensor networks due to the scanty node placement and dynamic nature of the channels. The goal of this work was to apply the hybrid CS approach to address the issue of huge data at cluster heads (CHs) when the sensing region is large. Additionally, this thesis uses cross breed CS for multi-hop based UWSNs, where correspondence can be acoustic, EM, or FSO, to do an insightful plan of all out energy utilization each round. The suggested model's performance is assessed in terms of network lifetime and energy efficiency.