Hayder Abdulameer Yousif

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.

Background: The exponential growth of data centers has significantly increased their carbon footprint, raising concerns about their environmental impact. As the demand for digital services and cloud computing intensifies, sustainable computing practices have become crucial for mitigating climate change. Objective: This paper aims to explore strategies for reducing the carbon footprint of data centers by integrating sustainable computing practices, including energy-efficient hardware, renewable energy sources, and optimized cooling technologies. Methods: A comprehensive review of existing literature was conducted, along with an analysis of case studies from major technology firms employing green computing strategies. Data center energy consumption patterns and carbon emissions were evaluated using energy efficiency metrics such as Power Usage Effectiveness (PUE) and Carbon Usage Effectiveness (CUE). Results: Findings indicate that adopting energy-efficient hardware, coupled with renewable energy sources, can significantly reduce energy consumption and carbon emissions. Optimized cooling techniques, such as liquid cooling and free-air cooling, further contribute to energy savings. Companies employing these practices reported a reduction in carbon emissions by up to 30%. Conclusion: Sustainable computing practices offer a viable path for reducing the environmental impact of data centers. By prioritizing energy efficiency and renewable energy integration, data centers can minimize their carbon footprint while maintaining operational efficiency, thus contributing to global sustainability goals.