An Enhanced Bandwidth Utilization Framework for Internet of Things (IoT) Network Infrastructure
Victoria Welekwe1, Matthias Daniel2, V.T. Emmah3
1Department of Computer Science, Rivers State University, Port Harcourt, Nigeria. Email: Victoria.welekwe@ust.edu.ng
2Department of Computer Science, Rivers State University, Port Harcourt, Nigeria. Email: matthias.daniel@ust.edu.ng
3Department of Computer Science, Rivers State University, Port Harcourt, Nigeria. Email: victor.emmah@ust.edu.ng
Abstract
Optimizing bandwidth has become crucial for improving speed and scalability as Internet of Things (IoT) networks continue to grow. An enhanced bandwidth optimization system designed to fortify IoT network architecture is presented in this study. The framework, which was created with the constructive research method and Object-Oriented Design (OOD) principles in mind, includes sophisticated congestion control mechanisms, dynamic traffic management, and adaptive bandwidth allocation. The proposed system consistently outperformed the existing solution, with a mean optimization score of 1.076 compared to 0.91 after testing in a simulated environment across five systems over five separate iterations. The framework offers notable improvements in throughput, latency, and resource utilization by utilizing the Advanced Encryption Standard (AES) for securing sensitive data and integrating a Gated Recurrent Unit (GRU) for bandwidth optimization. These results highlight the system’s scalability, security, and ability to address important challenges in contemporary IoT network environments.
Keywords
Optimization, Bandwidth, Network, Quality of Service, IoT, Bandwidth Optimization, IoT Network Infrastructure, Adaptive Bandwidth Allocation, Congestion Control, IoT Scalability
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