Research of a Genetic Algorithm to Improve Performance for Multicast Routing
Authors
Chunrong Liu, Caiqun Wang, Liutao Zhao, Wenchuan Yang, Yi Jin, Aijing Yang
Corresponding Author
Liutao Zhao
Available Online June 2019.
- DOI
- 10.2991/wcnme-19.2019.44How to use a DOI?
- Keywords
- QoS; multicast routing; genetic algorithm; multimedia network
- Abstract
As for the performance, the problem of multicast routing question with multiple QoS restraint is a keynote. This paper provides and describes a network model and refined function, and it is fit for the research of real-time QoS under multi-cast routing. A QoS multicast trees algorithm, which is based on the improved Genetic Algorithm, will be discussed. This improved algorithm refines the multiple QoS parameter. The simulation result proved by this algorithm is with the ability of convergence, credibility. It can also fit for the real-time requirement of the multimedia network. Experiment result show the validation of this algorithm and it will improve the practical routing effect.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Chunrong Liu AU - Caiqun Wang AU - Liutao Zhao AU - Wenchuan Yang AU - Yi Jin AU - Aijing Yang PY - 2019/06 DA - 2019/06 TI - Research of a Genetic Algorithm to Improve Performance for Multicast Routing BT - Proceedings of the 2019 International Conference on Wireless Communication, Network and Multimedia Engineering (WCNME 2019) PB - Atlantis Press SP - 185 EP - 190 SN - 2352-538X UR - https://doi.org/10.2991/wcnme-19.2019.44 DO - 10.2991/wcnme-19.2019.44 ID - Liu2019/06 ER -