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Published on: November 26, 2019
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A three-stage stochastic optimization model integrating 5G technology and UAVs for disaster management
Gabriella Colajanni1, Patrizia Daniele1, Anna Nagurney2
1Department of Mathematics and Computer Science, University of Catania, Viale Andrea Doria, 6, 95125 Catania, Italy.
Journal of Global Optimization : an International Journal Dealing with Theoretical and Computational Aspects of Seeking Global Optima and Their Applications in Science, Management and Engineering
|March 1, 2023
Summary
This study introduces a three-stage stochastic optimization model using Unmanned Aerial Vehicles (UAVs) and 5G for disaster management. The model maximizes services and minimizes costs across preparedness, response, and recovery phases.
Area of Science:
- Operations Research
- Telecommunications Engineering
- Disaster Management
Background:
- Disaster scenarios disrupt traditional service provision.
- Integrating advanced technologies like UAVs and 5G is crucial for resilient communication.
Purpose of the Study:
- To develop a robust optimization model for 5G service delivery using UAVs during all disaster management phases.
- To maximize service provision while minimizing operational costs.
Main Methods:
- A three-stage stochastic network-based optimization model.
- Variational formulations to investigate solution existence and uniqueness.
- Numerical examples to validate the model's effectiveness.
Main Results:
- The model effectively balances service maximization with cost minimization across disaster phases.
- Demonstrates the feasibility of using UAV-enabled 5G networks in disaster scenarios.
- Provides a framework for resource allocation and priority management.
Conclusions:
- The proposed model offers a rigorous mathematical approach for utilizing UAVs and 5G in disaster management.
- Highlights the importance of adaptive strategies for service provision in dynamic environments.
- Contributes to the literature on advanced technological solutions for emergency response.
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