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A Hybrid Modified Particle Swarm Optimization for Heterogeneous Radio Access Technology (RAT) Selection

by J. Preethi, S. Palaniswami
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 43 - Number 9
Year of Publication: 2012
Authors: J. Preethi, S. Palaniswami
10.5120/6134-8370

J. Preethi, S. Palaniswami . A Hybrid Modified Particle Swarm Optimization for Heterogeneous Radio Access Technology (RAT) Selection. International Journal of Computer Applications. 43, 9 ( April 2012), 34-42. DOI=10.5120/6134-8370

@article{ 10.5120/6134-8370,
author = { J. Preethi, S. Palaniswami },
title = { A Hybrid Modified Particle Swarm Optimization for Heterogeneous Radio Access Technology (RAT) Selection },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 43 },
number = { 9 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 34-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume43/number9/6134-8370/ },
doi = { 10.5120/6134-8370 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:33:00.385341+05:30
%A J. Preethi
%A S. Palaniswami
%T A Hybrid Modified Particle Swarm Optimization for Heterogeneous Radio Access Technology (RAT) Selection
%J International Journal of Computer Applications
%@ 0975-8887
%V 43
%N 9
%P 34-42
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Next Generation wireless networks are heterogeneous in nature where a variety of Radio Access Technologies (RATs) coexist in the same coverage area. It is important to select the most appropriate Radio Access Network (RAN) according to the requested service of each user. Hence, this paper proposes a Hybrid Modified Particle Swarm Optimization (PSO) algorithm to select the best access network among Wireless Wide Area Network (WWAN) and Wireless Local Area Network (WLAN). Particle Swarm Optimization is a global optimization algorithm, is known to effectively solve large scale nonlinear optimization problems. A variant of PSO called as Modified PSO is used in this paper where a constriction coefficient (?) has been introduced in the velocity update equation and this factor improves the convergence of the particle over time and this optimization algorithm has been hybridized with multi-objective decision making algorithm and weighing function to achieve better solutions. The performance of the proposed algorithm is evaluated using 1000 datasets. From the simulation study, it is found that the proposed approach gives higher user satisfaction ratio compared with the other approaches.

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Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy Logic Controller Multi Objective Decision Making Algorithm Weighing Function Modified Particle Swarm Optimization And Best Access Selection

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