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White shark optimizer with optimal deep learning based effective unmanned aerial vehicles communication and scene
T Nadana Ravishankar1, M Ramprasath2, A Daniel3
1Department of Data Science and Business Systems, SRM Institute of Science and Technology, Kattankulathur, Chennai, Tamil Nadu, India.
Scientific Reports
|December 28, 2023
Summary
This study introduces a new technique for optimizing Unmanned Aerial Vehicle (UAV) clustering and scene classification using deep learning. The WSOODL-UAVCSC method enhances communication and data analysis for UAV networks, particularly in disaster scenarios.
Area of Science:
- Computer Science
- Electrical Engineering
- Artificial Intelligence
Background:
- Unmanned Aerial Vehicles (UAVs) are crucial for next-generation wireless networks, supporting applications like disaster response and Internet of Things (IoT).
- Deep learning approaches face challenges in UAV clustering and scene classification due to data complexity and dynamic environments.
Purpose of the Study:
- To develop an effective technique for Unmanned Aerial Vehicle (UAV) clustering and scene classification.
- To enhance communication efficiency and data analysis capabilities within UAV networks.
Main Methods:
- The proposed White Shark Optimizer with Optimal Deep Learning based Effective Unmanned Aerial Vehicles Communication and Scene Classification (WSOODL-UAVCSC) technique.
- Utilizes the White Shark Optimizer (WSO) for UAV clustering and dynamic network adjustment.
- Employs Capsule Network (CapsNet) for feature extraction, Marine Predators Algorithm (MPA) for hyperparameter tuning, and Echo State Network (ESN) for scene classification.
Main Results:
- The WSOODL-UAVCSC technique demonstrated superior performance compared to existing methods.
- Achieved high accuracy (99.12%), precision (97.45%), recall (98.90%), and F1-score (98.10%).
- Validated through extensive simulation analysis, confirming enhanced robustness and effectiveness.
Conclusions:
- The WSOODL-UAVCSC technique significantly improves UAV clustering and scene classification.
- Offers a robust solution for complex, dynamic UAV communication and data analysis tasks.
- Highlights the potential of integrated deep learning and optimization algorithms for advanced UAV applications.
