پژوهشنامه پردازش و مدیریت اطلاعات

پژوهشنامه پردازش و مدیریت اطلاعات

Trends and Challenges of Autonomous Drones in Enabling Resilient Telecommunication Networks

نوع مقاله : مقاله پژوهشی

نویسندگان
Laith S. Ismail 1
Lydia Naseer Faraj 2
Tolkunbek Mamytovich Zholdoshov 3
Nameer Hashim Qasim 4
Milad Abdullah Hafedh 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, Iraq,10064
5 Madenat Alelem University College, Baghdad 10006, Iraq
10.22034/jipm.2025.728438
چکیده
ABSTRACT
Background: The advances in use of resilient telecommunication networks have shown the possible use of autonomous drones to support connectivity in unpredictable and complex terrains. Current network infrastructures have limitations in delivering optimized service in areas like traffic congestion, area of sparseness, disasters etc., which requires some form of innovation.
Objective: The article is meant to propose a framework for using autonomous drones in practical telecommunication systems, with emphasis on the energy consumption, scalability, dependability, and flexibility of the solution for various situations.
Methods: The study also uses other state-of-the-art approaches such as trajectory optimization, swarm coordination, dynamic spectrum management, and machine learning based resource allocation. Various slips were used on urban, rural, and disaster-sensitive scenarios to assess performance indices including energy input, network connectivity, signal strength, and lag time. The simulation results were supported by field experiments providing insights into various circumstances.
Results: The simulation results of the actually proposed framework show network scalability enhancements, where coverage area involves up to 50 km² and power saving higher than 15%. The performance improvement included near perfect trajectory anticipation at a rate of 98%, while the utilization of resources was also optimized. Dynamic spectrum management was useful in reducing interference and increasing efficiency especially in areas of high density.
Conclusion: The article promotes the use of UAV based telecommunication networks where challenging questions on scalability and reliability are raised and solved. Through the work presented, strong theoretical and empirical assumptions are made to foster concepts that will solidify next generation communication network.
کلیدواژه‌ها
KEYWORDS: autonomous drones
UAVs
telecommunication networks
trajectory optimization
swarm coordination
dynamic spectrum management (DSM)
machine learning
energy efficiency
network scalability
disaster recovery

عنوان مقاله English

Trends and Challenges of Autonomous Drones in Enabling Resilient Telecommunication Networks

نویسندگان English

Laith S. Ismail 1
Lydia Naseer Faraj 2
Tolkunbek Mamytovich Zholdoshov 3
Nameer Hashim Qasim 4
Milad Abdullah Hafedh 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, Iraq,10064
5 Madenat Alelem University College, Baghdad 10006, Iraq
چکیده English

ABSTRACT
Background: The advances in use of resilient telecommunication networks have shown the possible use of autonomous drones to support connectivity in unpredictable and complex terrains. Current network infrastructures have limitations in delivering optimized service in areas like traffic congestion, area of sparseness, disasters etc., which requires some form of innovation.
Objective: The article is meant to propose a framework for using autonomous drones in practical telecommunication systems, with emphasis on the energy consumption, scalability, dependability, and flexibility of the solution for various situations.
Methods: The study also uses other state-of-the-art approaches such as trajectory optimization, swarm coordination, dynamic spectrum management, and machine learning based resource allocation. Various slips were used on urban, rural, and disaster-sensitive scenarios to assess performance indices including energy input, network connectivity, signal strength, and lag time. The simulation results were supported by field experiments providing insights into various circumstances.
Results: The simulation results of the actually proposed framework show network scalability enhancements, where coverage area involves up to 50 km² and power saving higher than 15%. The performance improvement included near perfect trajectory anticipation at a rate of 98%, while the utilization of resources was also optimized. Dynamic spectrum management was useful in reducing interference and increasing efficiency especially in areas of high density.
Conclusion: The article promotes the use of UAV based telecommunication networks where challenging questions on scalability and reliability are raised and solved. Through the work presented, strong theoretical and empirical assumptions are made to foster concepts that will solidify next generation communication network.

کلیدواژه‌ها English

KEYWORDS: autonomous drones
UAVs
telecommunication networks
trajectory optimization
swarm coordination
dynamic spectrum management (DSM)
machine learning
energy efficiency
network scalability
disaster recovery

References

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  • تاریخ دریافت 26 مرداد 1404