Access Network Selection Based on Fuzzy Logic and Genetic Algorithms
Joint Authors
Ayesh, Aladdin
Alkhawlani, Mohammed
Source
Advances in Artificial Intelligence
Issue
Vol. 2008, Issue 2008 (31 Dec. 2008), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2008-05-25
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Science
Abstract EN
In the next generation of heterogeneous wireless networks (HWNs), a large number of different radio access technologies (RATs) will be integrated into a common network.
In this type of networks, selecting the most optimal and promising access network (AN) is an important consideration for overall networks stability, resource utilization, user satisfaction, and quality of service (QoS) provisioning.
This paper proposes a general scheme to solve the access network selection (ANS) problem in the HWN.
The proposed scheme has been used to present and design a general multicriteria software assistant (SA) that can consider the user, operator, and/or the QoS view points.
Combined fuzzy logic (FL) and genetic algorithms (GAs) have been used to give the proposed scheme the required scalability, flexibility, and simplicity.
The simulation results show that the proposed scheme and SA have better and more robust performance over the random-based selection.
American Psychological Association (APA)
Alkhawlani, Mohammed& Ayesh, Aladdin. 2008. Access Network Selection Based on Fuzzy Logic and Genetic Algorithms. Advances in Artificial Intelligence،Vol. 2008, no. 2008, pp.1-12.
https://search.emarefa.net/detail/BIM-498542
Modern Language Association (MLA)
Alkhawlani, Mohammed& Ayesh, Aladdin. Access Network Selection Based on Fuzzy Logic and Genetic Algorithms. Advances in Artificial Intelligence No. 2008 (2008), pp.1-12.
https://search.emarefa.net/detail/BIM-498542
American Medical Association (AMA)
Alkhawlani, Mohammed& Ayesh, Aladdin. Access Network Selection Based on Fuzzy Logic and Genetic Algorithms. Advances in Artificial Intelligence. 2008. Vol. 2008, no. 2008, pp.1-12.
https://search.emarefa.net/detail/BIM-498542
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-498542