Fuzzy Logic-Based Adaptive Transmission Power Control for Autonomous Underwater Vehicles

In this study, we introduced an adaptive trans-mission power control algorithm, harnessing the potential of fuzzy logic, to address the inherent uncertainties characteristic of underwater Autonomous Underwater Vehicles (AUVs). Capi-talizing on fuzzy logic's proficiency in managing uncertain and imprecise data, our approach offers a robust solution tailored to the dynamic and challenging underwater environments. This algorithm dynamically adjusts the transmission power based on real-time input parameters including distance, Received Signal Strength Indicator (RSSI), and energy consumption, optimizing energy usage within AUVs. As a result, the operational efficiency of AUVs is significantly enhanced, promoting longevity and reliability. Simulation outcomes demonstrate that our fuzzy logic-based method delivers a more adaptable and resilient energy management strategy, proving its effectiveness even under un-predictable underwater conditions.