Tudzarov, Aleksandar and Stefanov, Goce (2017) PSO Optimized Fuzzy SMART Based MCDM ANS Algorithm. International Journal of Emerging Technology & Research, 4 (1). pp. 52-56. ISSN 2347-5900
Preview |
Text
IJETR - PSO optimized Fuzzy SMART based MCDM ANS algorithm .pdf - Published Version Download (235kB) | Preview |
Abstract
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.
Work conducted in this paper proposes a AN scheme to solve the
access network selection (ANS) problem in the HWN using
natural expired algorithms for solving optimization of processes
for network selection. Scheme presents a design of general
multicriteria software assistant (SA) that consider user, operator,
and QoS parameters required by the users and operator in
heterogeneous environment. Combined fuzzy logic (FL)
optimized with use of Particle Swarm Optimization method
(PSO) for optimization of membership function in fuzzy logic
controllers (FLC) and multicriteria decision making (MCDM)
have been used in order to address proper treatment of all
influencing factors (criteria’s) and constantly changing
environment in ANS algorithm. Simulation results show that the
proposed scheme for SA ANS has better and more robust
performance over the random-based selection and service based
selection algorithm which are used as a reference radio resource
management RRM scheme in analyzed heterogeneous networks.
| Item Type: | Article |
|---|---|
| Subjects: | Engineering and Technology > Electrical engineering, electronic engineering, information engineering |
| Divisions: | Faculty of Electrical Engineering |
| Depositing User: | Aleksandar Tudzarov |
| Date Deposited: | 27 Mar 2017 08:37 |
| Last Modified: | 27 Mar 2017 08:37 |
| URI: | https://eprints.ugd.edu.mk/id/eprint/17596 |
Actions (login required)
 |
View Item |