Task Scheduling for Distributed AUV Network Target Hunting and Searching: An Energy-Efficient AoI-Aware DMAPPO Approach
Author:
Affiliation:
1. Department of Electronic Engineering, Tsinghua University, Beijing, China
2. Tsinghua Space Center, Tsinghua University, Beijing, China
3. Department of Electrical and Computer Engineering, University of Houston, Houston, TX, USA
Funder
National Natural Science Foundation of China
National Key Research and Development Program of China
Young Elite Scientist Sponsorship Program by CAST
NSF
Toyota Motor Corporation
Amazon Catalyst
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6488907/10106528/09995724.pdf?arnumber=9995724
Reference48 articles.
1. AUV-aided Hybrid Data Collection Scheme based on Value of Information for Internet of Underwater Things
2. Value-Based Hierarchical Information Collection for AUV-Enabled Internet of Underwater Things
3. AUV-Aided Energy-Efficient Data Collection in Underwater Acoustic Sensor Networks
4. Secure and Cooperative Target Tracking via AUV Swarm: A Reinforcement Learning Approach
5. Energy-efficient design for mmWave-enabled NOMA-UAV networks
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