Energy-Efficient Online Path Planning for Internet of Drones Using Reinforcement Learning
Unmanned aerial vehicles (UAVs) have recently been applied in several contexts due to their flexibility, mobility, and fast deployment. One of the essential aspects of multi-UAV systems is path planning, which autonomously determines paths for drones from starting points to destination points. Howev...
Saved in:
| Main Authors: | Zainab AlMania, Tarek Sheltami, Gamil Ahmed, Ashraf Mahmoud, Abdulaziz Barnawi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-08-01
|
| Series: | Journal of Sensor and Actuator Networks |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2224-2708/13/5/50 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Blockchain-Assisted Secure and Lightweight Authentication Scheme for Multi-Server Internet of Drones Environments
by: Sieun Ju, et al.
Published: (2024-12-01) -
A Lightweight Certificateless Authenticated Key Agreement Scheme Based on Chebyshev Polynomials for the Internet of Drones
by: Zhaobin Li, et al.
Published: (2025-07-01) -
Authentication Techniques in Internet of Drones (IoD): Taxonomy, Open Challenges and Future Directions
by: Alanoud F. Aldweesh, et al.
Published: (2025-05-01) -
An Efficient Framework for Secure Communication in Internet of Drone Networks Using Deep Computing
by: Vivek Kumar Pandey, et al.
Published: (2025-05-01) -
Task Offloading Optimization Using PSO in Fog Computing for the Internet of Drones
by: Sofiane Zaidi, et al.
Published: (2024-12-01)