Double Deep RL-Based Strategy for UAV-Assisted Energy Harvesting Optimization in Disaster-Resilient IoT Networks-Reference-Cited by-同舟云学术

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Double Deep RL-Based Strategy for UAV-Assisted Energy Harvesting Optimization in Disaster-Resilient IoT Networks

Published:2024-08-13 Issue: Volume:8 Page:411-416
ISSN:
Container-title:2024 9th International Conference on Mechatronics Engineering (ICOM)
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Author:

Elmadina Nahla Nur¹,Saeed Rashid A.²,Saeid Elsadig¹,Ali Elmustafa Sayed²,Nafea Ibtehal³,Ahmed Mayada A.⁴,Mokhtar Rania A.²,Khalifa Othman O.⁵

Affiliation:

1. Alzaiem Alazhari University,Department of Electrical Engineering,Khartoum,Sudan,13311

2. Sudan University of Science and Technology,Electronics Department,Khartoum,Sudan

3. College of Computer Science and Engineering, Taibah University,Medina,Saudi Arabia

4. Faculty of Eng. School of ElecsEng. Sudan Uni. of Sci. and Tech. Khartoum,Sudan

5. Inter. Islamic Uni.,Dept of Elec and Comp Eng,Malaysia,KL,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10651580/10652257/10652500.pdf?arnumber=10652500

Reference33 articles.

1. Performance of Power Allocation Under Priority User in CR-NOMA

2. Monitoring of Wildlife Using Unmanned Aerial Vehicle (UA V) With Machine Learning;A,2024

3. Task Reverse Offloading with Deep Reinforcement Learning in Multi-Access Edge Computing

4. An IoT-Platform-Based Deep Learning System for Human Behavior Recognition in Smart City Monitoring Using the Berkeley MHAD Datasets

5. Retracted: Deep and Reinforcement Learning Technologies on Internet of Vehicle (IoV) Applications: Current Issues and Future Trends

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