ONU Placement Optimization in FiWi Networks Using Mountain Gazelle Algorithm with Hyperbolic, Archimedes and Logarithmic Spirals

Abstract

Fiber-Wireless (FiWi) networks are promising hybrid solutions, bringing together high capacity and low latency of optical fiber technology with flexibility and broad coverage of wireless technologies. The results offer efficient, cost-effective, and provide scalable broadband connectivity. The strategic placement of Optical Network Units (ONUs) is crucial for improving network performance, reducing implementation costs, and improving service quality. This paper proposes a novel way to determining optimal ONU placement using the Mountain Gazelle Optimization (MGO) algorithm, which explores spiral path, approaches such as hyperbolic, Archimedes and logarithmic spirals. Extensive simulations indicate how each spiral path affects resource allocation, network speed and latency. The results reveal that the logarithmic spiral path outperforms hyperbolic and Archimedes in terms of cost function and network efficiency. This research paper also gives important insights that how different spiral paths affect MGO algorithm performance, allowing for better options in FiWi network planning.