GA-Based Energy Optimization in Traffic Grooming WDM Optical Mesh Network

Abstract

The advancement in technology leads to the demand for multicast application such as HDTV, interactive learning, video conferencing, distributed games, movie broadcasting, etc. Due to frequent increase in the point-to-multipoint (PtMP) connections which is used for the source to the destination node in a network, it requires an excessive growth of network traffic which leads to the increase in the cost of energy consumption for the network equipment’s in telecom industries. Whereas, our objective in this paper is to improve the consumption cost for the static WDM optical mesh system using a genetic algorithm. The wavelength capacity for the different channel high for the multicast connection for the optical network. To solve this, it used the grooming of low channel capacity connection with the high-bandwidth channel. Nowadays the higher layer electronic ports for the WDM optical mesh network use the transmitter and receiver which are more energy consumption devices. So for multicast traffic grooming (MTG) in high-bandwidth light-trees, we have to reduce these devices to optimize the energy consumption cost in a network. The proposed algorithm will compare with the normal grooming of light-trees, i.e., existing multicast traffic grooming (MTG) algorithm as well as saturated light-tree path multicast traffic grooming (SLTMTG) algorithm and measure the cost of the network and wavelength utilization.