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Maximization Network Throughput Based on Improved Genetic Algorithm and Network Coding for Optical Multicast Networks

  • Chengying Wei , Cuilian Xiong and Huanlin Liu EMAIL logo
Published/Copyright: August 24, 2016
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Abstract

Maximal multicast stream algorithm based on network coding (NC) can improve the network’s throughput for wavelength-division multiplexing (WDM) networks, which however is far less than the network’s maximal throughput in terms of theory. And the existing multicast stream algorithms do not give the information distribution pattern and routing in the meantime. In the paper, an improved genetic algorithm is brought forward to maximize the optical multicast throughput by NC and to determine the multicast stream distribution by hybrid chromosomes construction for multicast with single source and multiple destinations. The proposed hybrid chromosomes are constructed by the binary chromosomes and integer chromosomes, while the binary chromosomes represent optical multicast routing and the integer chromosomes indicate the multicast stream distribution. A fitness function is designed to guarantee that each destination can receive the maximum number of decoding multicast streams. The simulation results showed that the proposed method is far superior over the typical maximal multicast stream algorithms based on NC in terms of network throughput in WDM networks.

Acknowledgment

This research was supported by National Nature Science Foundation of China (NSFC 61275077), the national program on key basic research project of China (2012CB315803) and the basic and frontier research program of Chongqing (CSTC 2015jcyjA0024).

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Received: 2016-7-10
Accepted: 2016-8-3
Published Online: 2016-8-24
Published in Print: 2017-12-20

© 2018 Walter de Gruyter GmbH, Berlin/Boston

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