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Artificial Fish Swarm-Based Energy-Efficient QoS Classification Algorithm to Next Generation Electric Power Communication Networks
- Source :
- Applied Mechanics and Materials. 392:857-861
- Publication Year :
- 2013
- Publisher :
- Trans Tech Publications, Ltd., 2013.
-
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.
- Subjects :
- Computer science
Quality of service
Real-time computing
Swarm behaviour
Throughput
General Medicine
Energy consumption
Telecommunications network
Computer Science::Performance
Packet loss
Next-generation network
Computer Science::Networking and Internet Architecture
Algorithm
Efficient energy use
Subjects
Details
- ISSN :
- 16627482
- Volume :
- 392
- Database :
- OpenAIRE
- Journal :
- Applied Mechanics and Materials
- Accession number :
- edsair.doi...........b259072cf10eb03e19f00504d949533e