Energy Efficient Manycast Routing, Modulation Level and Spectrum Assignment in Elastic Optical Networks for Smart City Applications

Abstract

As one of key technologies for supporting smart city, distributed computing provides huge networking resources for smart city applications. Manycast, as a point to multi-point communication scheme, is particularly applicable for dealing with massive data simultaneously in distributed computing. Moreover, elastic optical networks (EONs) are emerging as attractive candidates to achieve high throughput distributed computing. However, the rapid development of smart optical networks brings about substantial energy consumption which becomes a critical problem currently. In this paper, we present an energy efficient manycast routing, modulation level and spectrum assignment (EEM-RMLSA) algorithm in EONs supporting smart city applications. Firstly, a new gene encoding scheme is proposed to encapsulate incoming manycast demands in an efficient way. Then, the corresponding genetic algorithm based heuristic is proposed to solve dynamic EEM-RMLSA problem. Simulation results clearly demonstrate that the proposed heuristic achieves significant energy saving and request blocking probability reduction compared to benchmark algorithms.