mlsanityData to 14 Oct 2026

AUV Trajectory Learning for Underwater Acoustic Energy Transfer and Age Minimization

arXiv 2601.08491 ↗First posted 13 Jan 2026cs.RO cs.LG cs.SYcited by 0

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Abstract (arXiv)

Internet of underwater things (IoUT) is increasingly gathering attention with the aim of monitoring sea life and deep ocean environment, underwater surveillance as well as maintenance of underwater installments. However, conventional IoUT devices, reliant on battery power, face limitations in lifespan and pose environmental hazards upon disposal. This paper introduces a sustainable approach for simultaneous information uplink from the IoUT devices and acoustic energy transfer (AET) to the devices via an autonomous underwater vehicle (AUV), potentially enabling them to operate indefinitely. To tackle the time-sensitivity, we adopt age of information (AoI), and Jain's fairness index. We develop two deep-reinforcement learning (DRL) algorithms, offering a high-complexity, high-performance frequency division duplex (FDD) solution and a low-complexity, medium-performance time division duplex (TDD) approach. The results elucidate that the proposed FDD and TDD solutions significantly reduce the average AoI and boost the harvested energy as well as data collection fairness compared to baseline approaches.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 7 of its 32 references that are in the map. First posted on arXiv 13 Jan 2026.

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7 of 32 references.

References · 7

  1. 2017Proximal Policy Optimization Algorithmscited by 15,215
  2. 2022Eco2AI: carbon emissions tracking of machine learning models as the first step towards sustainable AIcited by 58
  3. 2019Deep Reinforcement Learning for Minimizing Age-of-Information in UAV-assisted Networkscited by 13
  4. 2023Multi-UAV Path Learning for Age and Power Optimization in IoT with UAV Battery Rechargecited by 9
  5. 2023Age Minimization in Massive IoT via UAV Swarm: A Multi-agent Reinforcement Learning Approachcited by 5
  6. 2023Towards a Sustainable Internet-of-Underwater-Things based on AUVs, SWIPT, and Reinforcement Learningcited by 3
  7. 2023A Deep Reinforcement Learning Approach for Improving Age of Information in Mission-Critical IoTcited by 3

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  1. 2026Multi-AUV Trajectory Learning for Sustainable Underwater IoT with Acoustic Energy Transfer ↗
  2. 2024Multi-Objective-Optimization Assisted Data Collection Framework for IoUT Based on Offline Reinforcement
  3. 2024Enhancing Information Freshness: An AoI Optimized Markov Decision Process
  4. 2025A Reinforcement Learning-Based Telematic Routing Protocol for the Internet of Underwater Things
  5. 2025Ocean Diviner: A Diffusion-Augmented Reinforcement Learning Framework for AUV Robust Control in Underwater Tasks
  6. 2025Make Your AUV Adaptive: An Environment-Aware Reinforcement Learning Framework For Underwater Tasks
  7. 2025Age and Power Minimization via Meta-Deep Reinforcement Learning in UAV Networks
  8. 2024USV-AUV Collaboration Framework for Underwater Tasks under Extreme Sea Conditions