REAL TIME FREQUENCY ORIENT TRAFFIC INFERENCE MODEL FOR IMPROVED QOS IN WDM NETWORKS BASED ON DRWA SCHEME
J PJaslin Sheeja K SheelaSobana Rani
An in-depth study of wavelength assignment in Wavelength Division Multiplexing (WDM) networks has been made. DRWA has introduced a number of approaches. These methods have failed to achieve any significant performance in assignment and in QoS. This paper presents a frequency orient traffic inference with the objective of improving the performance of WDM networks. With the use of the same channel for the entire transmission of the same data, the utilization of the channel becomes smaller. An algorithm has been proposed that starts with the identification of the list of routes in the network and precedes with the task of identifying the data flow, frequency of transmission and traffic in the channel at all the routes of the route. On the basis of the features identified, the model computes the Channel Utilization Factor (CUF), the Channel Traffic Rate(CTR) for each route identified. These CUF and CTR values form the basis on which computation of Transmission Frequency Support Measure (TFSM) is made. TFSM forms the basis for identification of a single channel and the route. The selected single channel has been assigned for data transmission. This method has the advantages of improving the performance of WDM networks and support to development of their QoS.
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