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All Journal Bulletin of Electrical Engineering and Informatics International Journal of Engineering, Science and Information Technology
Issa, Samer Saeed
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Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Education Electrical & Electronics Engineering Energy Engineering Industrial & Manufacturing Engineering Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation

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Developed cluster-based load-balanced protocol for wireless sensor networks based on energy-efficient clustering Jabbar, Mohanad Sameer; Issa, Samer Saeed
Bulletin of Electrical Engineering and Informatics Vol 12, No 1: February 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v12i1.4226

Abstract

One of the most pressing issues in wireless sensor networks (WSNs) is energy efficiency. Sensor nodes (SNs) are used by WSNs to gather and send data. The techniques of cluster-based hierarchical routing significantly considered for lowering WSN’s energy consumption. Because SNs are battery-powered, face significant energy constraints, and face problems in an energy-efficient protocol designing. Clustering algorithms drastically reduce each SNs energy consumption. A low-energy adaptive clustering hierarchy (LEACH) considered promising for application-specifically protocol architecture for WSNs. To extend the network's lifetime, the SNs must save energy as much as feasible. The proposed developed cluster-based load-balanced protocol (DCLP) considers for the number of ideal cluster heads (CHs) and prevents nodes nearer base stations (BSs) from joining the cluster realization for accomplishing sufficient performances regarding the reduction of sensor consumed energy. The analysis and comparison in MATLAB to LEACH, a well-known cluster-based protocol, and its modified variant distributed energy efficient clustering (DEEC). The simulation results demonstrate that network performance, energy usage, and network longevity have all improved significantly. It also demonstrates that employing cluster-based routing protocols may successfully reduce sensor network energy consumption while increasing the quantity of network data transfer, hence achieving the goal of extending network lifetime.
Bioinformatics in Sustainable Healthcare and Energy Efficiency Ahmed, Saif Saad; Alal, Sumaia Ali; Badran, Mina Louay; Issa, Samer Saeed; Mohammed, Ghada S.; Batumalay, M.
International Journal of Engineering, Science and Information Technology Vol 5, No 4 (2025)
Publisher : Malikussaleh University, Aceh, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52088/ijesty.v5i4.1760

Abstract

While originating in genomics, bioinformatics is emerging as a powerful tool for optimizing complex, energy-intensive systems. This paper investigates a novel application of bioinformatics across four critical sectors—healthcare, biofuel production, renewable energy, and the Internet of Things (IoT)—to enhance energy efficiency, operational reliability, and system adaptability. Using a mixed-methods approach that combines statistical modeling, algorithm development, and institutional case studies, this research quantifies the impact of bioinformatics-driven interventions on key performance and energy metrics. The results demonstrate significant and consistent improvements across all domains. In healthcare, integrating genomic analytics and adaptive controls led to energy savings of up to 12.8%. For biofuel production, bio-inspired enzymatic and microbial process optimization reduced energy intensity by as much as 18.1% per liter. In the renewable energy sector, bioinformatics-based modeling increased the net efficiency of a solar farm by 50%. Furthermore, IoT systems with embedded bioinformatics algorithms achieved up to 15.8% improvement in energy-aware operations, confirming the methodology's cross-disciplinary value. This study positions bioinformatics not merely as a scientific tool but as a core organizing principle for fostering sustainability in digitized infrastructures. While challenges such as computational overhead and ethical governance remain, this research provides compelling evidence that bioinformatics can serve as a catalyst for cross-industrial environmental innovation. Future work should focus on integration with high-performance computing and the development of socio-ethical frameworks to ensure scalable and responsible deployment for energy efficiency.
Co-Authors Ahmed, Saif Saad Alal, Sumaia Ali Badran, Mina Louay Batumalay, M. Jabbar, Mohanad Sameer Mohammed, Ghada S.