AI-Driven Routing Protocol in the Underwater Acoustic Sensor Network for Communication Systems

Wireless Sensor Networks (WSNs) are dynamic environments of sensor nodes that run on batteries, made possible by artificial intelligence (AI). WSN applications have increased due to recent developments in processing power and network connectivity. Applications for ocean exploration, including pollution detection, ocean resource management, underwater device maintenance, and ocean monitoring, have made underwater acoustic sensor networks (UASNs) increasingly significant. Researchers find routing protocol design to be an appealing issue in underwater acoustic sensor networks because it ensures dependable and efficient data transfer from the source node to the target node. In the last few years, numerous routing algorithms have been put out. We run comprehensive simulations in miscellaneous underwater environments to evaluate the effectiveness of these AI-based routing protocols. The findings show that AI-aided protocols outperform traditional approaches, especially when there are resource constraints and complex environmental dynamics. More dependable and effective underwater operations are made possible by this study's insightful analysis of the incorporation of AI technology into underwater communication networks. Our results lay the groundwork for future developments in underwater communication systems and add to the expanding corpus of knowledge in this area.