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In this paper, routing optimizations based on energy sources are proposed in dynamic GMPLS controlled optical networks. The influences of re-routing and load balancing factors on the algorithm are evaluated, with a focus on different re-routing thresholds. Results from dynamic network simulations show that re-routing strategies can lower CO2 emissions compared to the basic energy source routing scheme, and a lower re-routing threshold achieves more savings. The increased blocking probability brought by using re-routing schemes can be compensated by applying load balancing criteria. A trade-off between blocking probability and obtained CO2 savings is studied.
CitacióWang, J. [et al.]. Energy-aware routing optimization in dynamic GMPLS controlled optical networks. A: International Conference on Transparent Optical Networks. "ICTON 2012: 14th International Conference on Transparent Optical Networks: 2nd-5th July, 2012, University of Warwick, Coventry, UK". Warwick, Coventry: IEEE, 2012, p. 1-4.