Mobility-Aware Resource Allocation in IoRT Network for Post-Disaster Communications with Parameterized Reinforcement Learning

Mobility-Aware Resource Allocation in IoRT Network for Post-Disaster Communications with Parameterized Reinforcement Learning

Natural disasters, including earthquakes, floods, landslides, tsunamis, wildfires, and hurricanes, have become more common in recent years due to rapid climate change. For Post-Disaster Management (PDM), authorities deploy various types of user equipment (UE) for the search and rescue operation, for...

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Bibliographic Details
Main Authors: Homayun Kabir, Mau-Luen Tham, Yoong Choon Chang, Chee-Onn Chow, Yasunori Owada
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Sensors
Subjects:
post disaster communication
internet of robotic things (IoRT)
movable and deployable resource units (MDRU)
deep reinforcement learning (DRL)
parameterized action space
multi-pass deep Q network (MP-DQN)
Online Access:https://www.mdpi.com/1424-8220/23/14/6448

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https://www.mdpi.com/1424-8220/23/14/6448

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