DocumentCode :
3664326
Title :
A QoS classification optimization algorithm to electric power communication networks
Author :
Fanbo Meng;Honghao Zhao;Fei Xia;Yi Lu;Xiaobo Huang
Author_Institution :
State Grid Liaoning Electric Power Company Limited, Shenyang 110006, China
fYear :
2015
fDate :
5/1/2015 12:00:00 AM
Firstpage :
43
Lastpage :
46
Abstract :
This paper studies the QoS classification problem in the electric power communication networks. A new QoS classification optimization algorithm is proposed based on the mixed artificial fish swarm algorithm, by considering energy efficiency. Firstly, a QoS classification optimization network model is built. The network delay and package loss ratio about the network model is described. Secondly, because network throughput and package loss ratio are related to the QoS level, the network delay and packet loss ratios used to describe the energy consumption and throughput model of networks. Then we build the optimal model of energy efficiency of networks. The hybrid artificial fish swarm algorithm is exploited to solve this model. Simulation results show that the proposed algorithm is promising.
Keywords :
"Quality of service","Energy efficiency","Algorithm design and analysis","Marine animals","Optimization","Delays","Classification algorithms"
Publisher :
ieee
Conference_Titel :
Electronics Information and Emergency Communication (ICEIEC), 2015 5th International Conference on
Print_ISBN :
978-1-4799-7283-8
Type :
conf
DOI :
10.1109/ICEIEC.2015.7284483
Filename :
7284483
Link To Document :
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