Artificial Fish Swarm-Based Energy-Efficient QoS Classification Algorithm to Next Generation Electric Power Communication Networks

Abstract:

This paper studies the problem of QoS graded optimization in the next generation electric power communication network and proposes an energy-efficient QoS graded optimization method based on artificial fish swarm algorithm. Firstly, this paper discusses the networks model of the QoS graded optimization and describes the networks model using delay and packet loss ratio in time-variant network. Secondly, we set up the model of networks throughput and energy consumption using the characteristics of delay and packet loss ratio in time-variant network. Finally, simulation results show that our approach is effective.

• Periodical: Applied Mechanics and Materials (Volume 392)
• Pages: 857-861
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.392.857
• Online since: September 2013
• Authors: Fan Bo Meng, Hong Hao Zhao, Qing Qi Zhao, Wei Zhe Ma, Ying Cao, Lei Wang
• Keywords: Energy Efficiency, Next Generation Network, Optimizing Model, QoS Classification

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