Drones for Disaster Recovery with Rapid Deployment of Communication Networks

S. Ismail, Laith; H. Habib, Bassam; Gulbadan, Matieva; Adnan Sajid, Wafaa; Alsaidi, Jamal

doi:10.22034/jipm.2025.728316

Drones for Disaster Recovery with Rapid Deployment of Communication Networks

Document Type : Original Article

Authors

Laith S. Ismail ¹

Bassam H. Habib ²

Matieva Gulbadan ³

Wafaa Adnan Sajid ⁴

Jamal Alsaidi ⁵

¹ Al-Turath University, Baghdad 10013, Iraq

² Al-Mansour University College, Baghdad 10067, Iraq

³ Osh State University, Osh City 723500, Kyrgyzstan

⁴ Al-Rafidain University College Baghdad 10064, Iraq

⁵ Madenat Alelem University College, Baghdad 10006, Iraq

10.22034/jipm.2025.728316

Abstract

ABSTRACT
Background: UAV-assisted communication networks have emerged as vital tools for disaster recovery, offering rapid deployment and scalability in dynamic environments. However, challenges such as regulatory compliance, data security, energy efficiency, and real-time adaptability limit their widespread implementation.
Objective: This study aims to develop a multi-objective optimization framework for UAV-assisted networks that enhances coverage efficiency, reduces latency, and optimizes energy consumption while addressing regulatory and data security challenges.
Methods: The proposed framework integrates k-means clustering, genetic algorithms, and real-time adaptation mechanisms. Key metrics: coverage, latency, energy efficiency, and regulatory compliance, were evaluated across urban, suburban, and rural disaster scenarios. Dynamic geofencing, end-to-end encryption, and anomaly detection were incorporated to ensure compliance and secure operations.
Results: The framework achieved significant improvements: coverage efficiency increased by 8%, latency reduced by 43%, and battery life extended by 33%. Regulatory compliance rose from 75% to 95%, and data security was enhanced with a 50% improvement in threat detection. The framework demonstrated robust scalability, maintaining high performance across diverse user densities.
Conclusion: The study presents a scalable and adaptable UAV-assisted communication framework that addresses operational, regulatory, and security challenges. Its results validate its potential for real-world disaster recovery, paving the way for further innovations in this critical domain.

Keywords

KEYWORDS: Disaster recovery

UAVs

drones

communication networks

rapid deployment

emergency response

network resilience

mobile base stations

disaster communication

NOMA

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