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Enhancing Clustering Algorithm to Plan Efficient Mobile Network

by Lamiaa Fattouh Ibrahim, Manal El Harby
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 59 - Number 18
Year of Publication: 2012
Authors: Lamiaa Fattouh Ibrahim, Manal El Harby
10.5120/9648-4401

Lamiaa Fattouh Ibrahim, Manal El Harby . Enhancing Clustering Algorithm to Plan Efficient Mobile Network. International Journal of Computer Applications. 59, 18 ( December 2012), 18-24. DOI=10.5120/9648-4401

@article{ 10.5120/9648-4401,
author = { Lamiaa Fattouh Ibrahim, Manal El Harby },
title = { Enhancing Clustering Algorithm to Plan Efficient Mobile Network },
journal = { International Journal of Computer Applications },
issue_date = { December 2012 },
volume = { 59 },
number = { 18 },
month = { December },
year = { 2012 },
issn = { 0975-8887 },
pages = { 18-24 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume59/number18/9648-4401/ },
doi = { 10.5120/9648-4401 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:04:32.972461+05:30
%A Lamiaa Fattouh Ibrahim
%A Manal El Harby
%T Enhancing Clustering Algorithm to Plan Efficient Mobile Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 59
%N 18
%P 18-24
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the rapid development in mobile network effective network planning tool is needed to satisfy the need of customers. However, deciding upon the optimum placement for the base stations (BS) to achieve best services while reducing the cost is a complex task requiring vast computational resource. This paper addresses antenna placement problem or the cell planning problem, involves locating and configuring infrastructure for mobile networks. The Cluster Partitioning Around Medoids (PAM) original algorithm has been modified and a new algorithm M-PAM (Modified-Partitioning Around Medoids) has been proposed by the authors in a recent work. In the present paper, the M-PAM algorithm is modified and a new algorithm CWN-PAM (Clustering with Weighted Node-Partitioning Around Medoids) has been proposed to satisfy the requirements and constraints. Implementation of this algorithm to a real case study is presented. Results demonstrate the effectiveness and flexibility of the modifying algorithm in tackling the important problem of mobile network planning.

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Index Terms

Computer Science
Information Sciences

Keywords

Clustering techniques network planning cell planning and mobile network

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