A Novel Data Aggregation Method for Underwater Wireless Sensor Networks using Ant Colony Optimization Algorithm

Underwater Wireless Sensor Networks (UWSNs) have a wide range of applications for monitoring the ocean and exploring offshore environment. nodes are typically dispersed throughout area interest at different depths in these networks. on seabed must use routing protocol order to communicate with surface-level nodes. The suitability assessment considers network resources, application requirements, environmental factors. By combining factors, platform resource-aware strategies can be created that meet needs dynamic environments. Numerous challenges problems associated UWSNs, including lack battery power, instability topologies, limited bandwidth, long propagation times, interference from ocean. These addressed through design protocols. facilitates transfer data between source destination Data aggregation UWSN protocols widely used achieve better outcomes. This paper describes an energy-aware algorithm UWSNs uses improved ACO (Ant Colony Optimization) maximize packet delivery ratio, improve lifetime, decrease end-to-end delay, less energy.