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All Journal Cendekiawan: Jurnal Pendidikan dan Studi Keislaman Journal of Multidisciplinary Science: MIKAILALSYS Asian Journal of Science, Technology, Engineering, and Art Adpebi Science Series
Abdulkadir, Abubakar
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Journal : Journal of Multidisciplinary Science: MIKAILALSYS

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A Novel Clustering-Based Scheme for Wildfire Monitoring in Flying Ad Hoc Networks Visa, Samson Bitrus; Sunday, Caleb Gasin; Abdulkadir, Abubakar
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 1 (2025): Journal of Multidisciplinary Science: MIKAILALSYS
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mikailalsys.v3i1.4512

Abstract

This study addresses energy consumption limitations and network overhead in cluster formation within Flying Ad Hoc Networks (FANETs), a type of Wireless Sensor Network (WSN) commonly used for wildfire monitoring. FANETs consist of mobile nodes, represented by Unmanned Aerial Vehicles (UAVs), communicating in a self-organized manner, with clustering playing a crucial role in improving scalability and resource management. This work proposes an Energy Efficient Wildfire Monitoring Scheme (EEWMS) to optimize Cluster Head (CH) selection and reduce the energy costs of cluster formation. The scheme incorporates node remaining energy, trust level, energy consumption, base station proximity, mobility, and CH coverage into a fitness function for intelligent CH selection. EEWMS was validated through simulations in the MATLAB environment, comparing its performance against existing techniques, specifically EE-SS, using metrics including energy consumption, network lifespan, and cluster formation time. The results demonstrate that EEWMS significantly enhances FANET performance, reducing cluster building time by 10.16%, increasing cluster lifetime by 6.96% and improving energy efficiency by 10.25%. These improvements underscore EEWMS's effectiveness in enhancing real-time wildfire monitoring by improving network responsiveness, extending operational periods, and ensuring reliable data transmission. The findings provide a robust solution to energy and scalability challenges, making FANETs more efficient and reliable for emergency response applications.
Evaluating Handover Processes in Mobile Networks: Effects on Latency, QoS, and User Experience Across Conditions Abdurrahman, Mubarak; Gamawa, Mansur Aliyu; Abdulkadir, Abubakar; M, Bala A.; Hamza, Jamilu Bala; Ahmed, Abubakar
Journal of Multidisciplinary Science: MIKAILALSYS Vol 3 No 1 (2025): Journal of Multidisciplinary Science: MIKAILALSYS
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mikailalsys.v3i1.4631

Abstract

The rapid expansion of mobile networks has revolutionized global communication, enabling seamless connectivity for a growing user base. As networks evolve, efficient handover processes—where mobile devices transition between network cells or base stations—are critical to maintaining uninterrupted service. Poorly optimized handovers can result in increased latency, degraded Quality of Service (QoS), and diminished user experience, especially in advanced networks like 5G that demand low latency and high reliability. This study examines the impact of handover processes on key performance metrics such as latency, QoS, and user satisfaction, analyzing their behavior across urban, rural, and heterogeneous technological environments. In densely populated urban areas, frequent handovers risk creating performance bottlenecks, while rural areas face challenges related to sparse infrastructure. Heterogeneous environments, where legacy and next-generation technologies coexist, further complicate efficient transitions. By identifying these challenges, the study proposes strategies to optimize handover efficiency, ensuring seamless connectivity, enhanced QoS, and reduced latency in advanced networks. These findings contribute to improving mobile communication systems, addressing the dynamic demands of 5G and beyond in diverse operational scenarios.
Co-Authors Abdulkareem, H. A. Abdullahi, ZM Abdurrahman, Mubarak Ahmed, Abubakar Amini Amini Gamawa, Mansur Aliyu Hamidat, B. Y. Hamza, Jamilu Bala Ibrahim, Muhammad Muslim Kabir, Mahmoud T. M, Bala A. Mutalib, Yusuf Ova Sunday, Caleb Gasin Visa, Samson Bitrus