A Self-Driven and Adaptive Adjusting Teaching Learning Method for Optimizing Optical Multicast Network Throughput
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Huanlin Liu
,
Yifan Xu
Abstract
With the development of one point to multiple point applications, network resources become scarcer and wavelength channels become more crowded in optical networks. To improve the bandwidth utilization, the multicast routing algorithm based on network coding can greatly increase the resource utilization, but it is most difficult to maximize the network throughput owing to ignoring the differences between the multicast receiving nodes. For making full use of the destination nodes’ receives ability to maximize optical multicast’s network throughput, a new optical multicast routing algorithm based on teaching-learning-based optimization (MR-iTLBO) is proposed in the paper. In order to increase the diversity of learning, a self-driven learning method is adopted in MR-iTLBO algorithm, and the mutation operator of genetic algorithm is introduced to prevent the algorithm into a local optimum. For increasing learner’s learning efficiency, an adaptive learning factor is designed to adjust the learning process. Moreover, the reconfiguration scheme based on probability vector is devised to expand its global search capability in MR-iTLBO algorithm. The simulation results show that performance in terms of network throughput and convergence rate has been improved significantly with respect to the TLBO and the variant TLBO.
Funding statement: Funding: This research was supported by national nature science foundation of China (NSFC 61275077), by the national program on key basic research project of China (2012CB315803), and by the basic and frontier research program of Chongqing (CSTC 2015jcyjA0075).
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Artikel in diesem Heft
- Frontmatter
- Editorial
- Peer Review and Plagiarism
- Amplifiers
- Performance Analysis of an EDFA Utilizing a Partially Doped Core Fiber (PDCF)
- Devices
- Design and Analysis of Ultra-Fast All-Optical Modulator Based on Photonic Crystal
- Networks
- A New Wavelength Optimization and Energy-Saving Scheme Based on Network Coding in Software-Defined WDM-PON Networks
- Hierarchical Supervisor and Agent Routing Algorithm in LEO/MEO Double-layered Optical Satellite Network
- A Self-Driven and Adaptive Adjusting Teaching Learning Method for Optimizing Optical Multicast Network Throughput
- Analysis of SDWDM Ring Network and Enhancement Using Different Hybrid Optical Amplifiers and Modulation Formats
- Systems
- Optical Generation of 12-Tupling Millimeter-Wave Signal without Optical Filtering
- A Degree Distribution Optimization Algorithm for Image Transmission
- Theory
- Performance Enhancement of Multichannel Gigabit Rate Bidirectional WDM-PON Using RSOA and Optimized Modulation Format
- A Simple but Accurate Method for Analytical Estimation of Splice Loss in Single-Mode Triangular Index Fibers for Different V Numbers Including the Low Ones
- News
- News
