Energy‐aware dynamic‐link load balancing method for a software‐defined network using a multi‐objective artificial bee colony algorithm and genetic operators-Reference-Cited by-同舟云学术

Energy‐aware dynamic‐link load balancing method for a software‐defined network using a multi‐objective artificial bee colony algorithm and genetic operators

Published:2020-10-13 Issue:18 Volume:14 Page:3284-3293
ISSN:1751-8628
Container-title:IET Communications
language:en
Short-container-title:IET Communications

Author:

Neghabi Ali Akbar¹,Navimipour Nima Jafari²,Hosseinzadeh Mehdi³⁴,Rezaee Ali¹

Affiliation:

1. Department of Computer Engineering, Science and Research Branch, Islamic Azad UniversityTehranIran

2. Future Technology Research Center, National Yunlin University of Science and Technology123 University Road, Section 3DouliouYunlin64002Taiwan

3. Institute of Research and Development, Duy Tan UniversityDa Nang550000Vietnam

4. Mental Health Research Center, Psychosocial Health Research Institue, Iran University of Medical SciencesTehranIran

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-com.2019.1300

Reference30 articles.

1. Load Balancing Mechanisms in the Software Defined Networks: A Systematic and Comprehensive Review of the Literature

2. Nature‐inspired meta‐heuristic algorithms for solving the load balancing problem in the software‐defined network;Akbar Neghabi A.;Int. J. Commun. Syst.,2019

3. A novel energy‐aware routing mechanism for SDN‐enabled WSAN;Al‐Hubaishi M.;Int. J. Commun. Syst.,2019

4. An interference‐aware energy‐efficient routing algorithm with quality of service requirements for software‐defined WSNs

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