Abstract: Optical communication provides large bandwidth for the transfer of data. This large bandwidth is in Tbps and the requirements of the users are small. To use this large amount of bandwidth availability in an efficient manner one has to use the WDM technique. The optical network provides routing, multiplexing and wavelength assignment for the grooming of traffic. Traffic grooming in optical WDM mesh network is a topic of interest. The traffic grooming is either a full grooming or sparse grooming. Sparse traffic grooming is important to use as it reduces the cost of the network. In sparse traffic grooming most important is grooming node (G-node) selection. The proposed Genetic algorithm is used for the selection of G-nodes. Once the G-nodes are selected then sparse traffic grooming will be performed on the virtual topology created. Also, if any fault occurs on the network then we are providing the survivability model. This model reduces the loss of data. The proposed Genetic algorithm improves the performance for Survivable Sparse Traffic Grooming (SSTG) and shows that the throughput is nearly equal to sparse traffic grooming.
Sandip R. Shinde, S. Emalda Roslin, Suhas Patil and Archana S. Shinde, 2017. Survivable Sparse Traffic Grooming in Optical WDM Mesh Network Using Genetic Algorithm. Journal of Engineering and Applied Sciences, 12: 7129-7134.