پژوهشنامه پردازش و مدیریت اطلاعات

پژوهشنامه پردازش و مدیریت اطلاعات

Coordinated Communication Networks Using Drone Swarms for Advanced Telecommunication Systems

نوع مقاله : مقاله پژوهشی

نویسندگان
Hayder Abdulameer Yousif 1
Salah Yehia Hussain 2
Abdiraiimova Nazigai 3
Vian S. Al-Doori 4
Ahmed Sabah 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.2025.728356
چکیده
ABSTRACT
Background: The increasing demand for flexible, resilient, and high-performance telecommunication systems—especially in dynamic environments—has led to growing interest in the use of autonomous drones. Their mobility and adaptability make drone swarms a promising solution for enhancing communication networks, particularly in 6G and edge computing applications.
Objective: This study explores the application of drone swarms to improve network formation, synchronization, and resilience in both urban and rural telecommunication scenarios, with an emphasis on their feasibility, robustness, and adaptability.
Method: A series of simulations were conducted using multi-agent coordination algorithms and network optimization models under varying conditions. Key performance indicators including Packet Delivery Ratio (PDR), latency, energy efficiency, and system reliability were evaluated across different deployment scenarios.
Results: The findings indicate that drone swarms achieved a 92% PDR, a significant improvement over the 75% observed in static wireless network (WN) bases. Additionally, average latency decreased by 35%, while energy efficiency increased by 28%. The swarm-based system maintained robust performance even with up to 20% node loss, demonstrating strong fault tolerance and adaptability.
Conclusion: The study confirms the potential of drone swarms as a scalable and resilient solution to address critical telecommunication challenges such as disaster response, rural connectivity, and real-time data transmission. Future work should focus on addressing remaining deployment barriers, including regulatory concerns and seamless integration with existing telecommunications infrastructure.
کلیدواژه‌ها
KEYWORDS: Drone Swarms
Telecommunication Systems
Coordinated Networks
Multi-Agent Algorithms
6G Technology
Edge Computing
Packet Delivery Ratio (PDR)
Latency Reduction
Energy Efficiency
Fault Tolerance

عنوان مقاله English

Coordinated Communication Networks Using Drone Swarms for Advanced Telecommunication Systems

نویسندگان English

Hayder Abdulameer Yousif 1
Salah Yehia Hussain 2
Abdiraiimova Nazigai 3
Vian S. Al-Doori 4
Ahmed Sabah 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
چکیده English

ABSTRACT
Background: The increasing demand for flexible, resilient, and high-performance telecommunication systems—especially in dynamic environments—has led to growing interest in the use of autonomous drones. Their mobility and adaptability make drone swarms a promising solution for enhancing communication networks, particularly in 6G and edge computing applications.
Objective: This study explores the application of drone swarms to improve network formation, synchronization, and resilience in both urban and rural telecommunication scenarios, with an emphasis on their feasibility, robustness, and adaptability.
Method: A series of simulations were conducted using multi-agent coordination algorithms and network optimization models under varying conditions. Key performance indicators including Packet Delivery Ratio (PDR), latency, energy efficiency, and system reliability were evaluated across different deployment scenarios.
Results: The findings indicate that drone swarms achieved a 92% PDR, a significant improvement over the 75% observed in static wireless network (WN) bases. Additionally, average latency decreased by 35%, while energy efficiency increased by 28%. The swarm-based system maintained robust performance even with up to 20% node loss, demonstrating strong fault tolerance and adaptability.
Conclusion: The study confirms the potential of drone swarms as a scalable and resilient solution to address critical telecommunication challenges such as disaster response, rural connectivity, and real-time data transmission. Future work should focus on addressing remaining deployment barriers, including regulatory concerns and seamless integration with existing telecommunications infrastructure.

کلیدواژه‌ها English

KEYWORDS: Drone Swarms
Telecommunication Systems
Coordinated Networks
Multi-Agent Algorithms
6G Technology
Edge Computing
Packet Delivery Ratio (PDR)
Latency Reduction
Energy Efficiency
Fault Tolerance

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  • تاریخ دریافت 22 مرداد 1404