An Algorithm Based on Next Shortest Path in Large EON Under Dynamic Traffic Grooming

The elastic light-trail is one of the cutting-edge technologies implemented in Elastic Optical Networks (EON). The elasticity in an elastic light-trail or lightpath is facilitated by orthogonal frequency division multiplexing. However, in general, to serve a traffic demand generated dynamically in a communication network, a source-destination path is determined by Dijsktra’s shortest path algorithm. Afterwards, a various spectrum allocation procedures are applied and corresponding data transportation is executed for a certain time duration. In the field of dynamic traffic grooming under EON, Minimized Multi–hop Elastic Lightpath–(m–MEL) and Multi–hop Elastic Lightpath–(MEL) are fundamental algorithms toward the fulfillment of traffic grooming objective. In this study, we investigate the aforesaid algorithms deeply and proposed an innovative algorithm-Multi–hop Next Shortest Elastic Lightpath–(MNSEL) that utilize next shortest path to minimize and maximize hop counts and network throughput simultaneously, respectively. The fundamental concept in our research study is the next shortest path which is determined recursively until the source-destination route setup process is met, when the shortest path fails to setup the route depending upon a few criteria. However, here, a thorough and rigorous measurement of the efficiency obtained under the proposed algorithm has been performed.