Adaptive spectrum defragmentation with intelligent timing and object selection for elastic optical networks with time-varying traffic

We propose intelligent timing and object selection algorithms for adaptive spectrum defragmentation in EONs with time-varying traffic. The simulation results show that the algorithms can stabilize and reduce bandwidth blocking probability (BBP) effectively with the minimum number of connection reconfigurations.