PRT-DBA: A Predictive Real-Time Bandwidth Allocation Algorithm for Multi-Gigabit WANs

The rapid growth of network traffic in multi-gigabit wide area networks (WANs) has necessitated the development of advanced bandwidth allocation mechanisms to ensure optimal Quality of Service (QoS). This paper proposes a Predictive Real-Time Dynamic Bandwidth Allocation (PRT-DBA) algorithm designed to address the challenges of real-time adaptability and predictive analytics in multi-gigabit networks. PRT-DBA leverages machine learning techniques to predict future traffic patterns and dynamically adjusts bandwidth allocation based on real-time network conditions. The algorithm integrates predictive modelling, real-time monitoring, and dynamic allocation to optimise QoS, minimise latency, and maximise throughput. Simulation results demonstrate that PRT-DBA significantly improves network performance, reduces congestion, and ensures efficient resource utilisation. The proposed framework is scalable, secure, and compatible with existing network protocols, making it a promising solution for next-generation WANs.