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

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 optimizat...

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Veröffentlicht in:Applied Mechanics and Materials 2013-09, Vol.392, p.857-861
Hauptverfasser: Wang, Lei, Ma, Wei Zhe, Zhao, Qing Qi, Meng, Fan Bo, Cao, Ying, Zhao, Hong Hao
Format: Artikel
Sprache:eng
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Zusammenfassung: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.
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.392.857