Genetic-algorithm-based energy efficiency routing spectrum allocation method for multi-casting optical forest optimization

Abstract

The invention relates to a genetic-algorithm-based energy efficiency routing spectrum allocation method for multi-cast optical forest optimization. According to a multi-cast request, a plurality of shortest paths, meeting a service need, between a source node and all multi-cast destination nodes are calculated and the multi-cast destination nodes are divided to obtain all optical sub trees of an optical forest; a chromosome coding format of a genetic algorithm is designed to express destination node division of the optical forest and an optical path set of the optical forest; an energy efficiency fitness function of the optical forest is designed and a routing, modulation and spectrum allocation plan, needing the smallest spectrum number and lowest transmitter power consumption, for optical forest transmission is selected based on the fitness function; on the basis of corresponding crossover and mutation operations of probabilistic gene bits of the genetic algorithm, a new multi-cast optical forest is obtained and an optical forest plan with excellent energy efficiency is selected by using a lowest fitness function value; and when multi-cast transmission does not complete and other requests for transmission completion are found out in an optical network, transmission from the optical forest to optical trees of the multi-cast unit is reconfigured, so that resources occupied by the optical forest are released and low-energy-efficiency transmission is realized.

Description

Technical field [0001] The invention belongs to the field of optical communication technology, and relates to a method for optimizing the energy efficiency routing spectrum distribution of a multicast optical forest based on a genetic algorithm. Background technique [0002] With the rise of point-to-multipoint high-bandwidth multicast services such as video-on-demand, cloud computing, grid computing, video conferencing, and live broadcast platforms, the existing Wavelength Division Multiplexing (WDM) networks are facing huge bandwidth pressure. The WDM network adopts a fixed wavelength bandwidth allocation method, which has the characteristics of a long number of wavelength channels, low bandwidth utilization, and inflexible configuration. It is difficult to meet the requirements of future network traffic and high bandwidth utilization. Elastic Optical Networks (EONs) use orthogonal frequency division multiplexing technology to adaptively allocate the spectrum resources of the ...

AI Technical Summary

Problems solved by technology

However, when multiple optical sub-trees implement the transmission of a multicast request, some optical paths between the sub-trees are the same, because the spectrum blocks occupied by different optical paths on the same link are different, resulting in additional spectrum allocation relative to a single optical tree. overhead; at the same time, when multi-subtrees transmit multicast, the transmitter will use multiple transmitters to cause additional energy consumption

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