Chaotic local search-based levy flight distribution algorithm for optimizing ONU placement in fiber-wireless access network

Fiber-wireless (FiWi) access networks smartly integrate the mobility, robustness, and ubiquity of wireless networks and the high capacity of fiber networks. A demanding task in FiWi networks is to find the optimal placement of optical network units (ONUs), which leads to resource, throughput, and cost optimization. Several studies have been carried out to solve the ONU placement problem. Most approaches achieve encouraging results; however, they suffer from trapping in local optima, and their performance is far from the ideal state. This paper introduces a chaotic local search-based levy flight distribution (CLS-LFD) algorithm to optimize the position of ONUs in the FiWi network. The proposed algorithm models the ONU placement as a constraint multimodal optimization problem. The objective is to minimize the overall average distance between ONUs and users. With a test on four ONU placement benchmarks, the proposed CLS-LFD algorithm has shown significant improvement over the canonical LFD algorithm and several counterpart algorithms in terms of convergence performance and cost value.

Automated summary

This paper introduces a algorithm, CLS-LFD, to optimize the placement of ONUs in FiWi networks, which has shown significant improvement in convergence performance and cost value.