تحسين كفاءة تخصيص الطيف في الشبكات الضوئية المرنة EONs و محاكاة باستخدام MATLAB وOMNeT++

Abstract

Resilient optical networks (EONs) face increasing challenges in managing spectral resources under the pressure of dynamic network traffic and high-capacity requirements. This research aims to develop a multi-criteria mathematical model for a routing and spectrum allocation algorithm (RSA), based on mixed linear programming (MILP), and evaluate its performance using MATLAB and OMNeT++ environments.

The proposed model is based on an accurate representation of binary and continuous variables, with explicit constraints formulated to ensure continuity of spectrum slots and prevent interference, as well as adjustable allocation via standard weights.

The computed results demonstrate that the model achieves optimal performance in terms of minimizing blocking probability and avoiding spectrum fragmentation in MATLAB, while OMNeT++ highlights realistic dynamic challenges such as delay and congestion. Performance is compared across multiple metrics: blocking probability, spectrum utilization, path length, delay, and number of lost connections. The algorithm's complexity is analyzed and compared with traditional approaches to demonstrate its feasibility in dynamic environments.

This model contributes to the development of the foundations of optical network analysis and provides an extensible framework for integrating artificial intelligence and software-defined networks in the future.