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Faculty of Computing and Information Technology
Document Details
Document Type
:
Article In Journal
Document Title
:
Using Hyper clustering Algorithms in Mobile Network Planning
استخدام خوازميات تقنيات المجموعة الفائقة في التخطيط لشبكات الهواتف المتنقلة (الجوال)
Subject
:
Mobile network, Network Planning, clustering techniques, cell planning
Document Language
:
English
Abstract
:
As a large amount of data stored in spatial databases, people may like to find groups of data which share similar features. Thus cluster analysis becomes an important area of research in data mining. Applications of clustering analysis have been utilized in many fields, such as when we search to construct a cluster served by base station in mobile network. Deciding upon the optimum placement for the base stations to achieve best services while reducing the cost is a complex task requiring vast computational resource. Approach: This study addresses antenna placement problem or the cell planning problem, involves locating and configuring infrastructure for mobile networks by modified the original density-based Spatial Clustering of Applications with Noise algorithm. The Cluster Partitioning Around Medoids original algorithm has been modified and a new algorithm has been proposed by the authors in a recent work. In this study, the density-based Spatial Clustering of Applications with Noise original algorithm has been modified and combined with old algorithm to produce the hybrid algorithm Clustering Density Base and Clustering with Weighted Node-Partitioning Around Medoids algorithm to solve the problems in Mobile Network Planning. Results: Implementation of this algorithm to a real case study is presented. Results demonstrate that the proposed algorithm has minimum run time minimum cost and high grade of service. Conclusion: the proposed hyper algorithm has the advantage of quick divide the area into clusters where the density base algorithm has a limit iteration and the advantage of accuracy (no sampling method is used) and highly grade of service due to the moving of the location of the base stations (medoid) toward the heavy loaded (weighted) nodes.
ISSN
:
15469239
Journal Name
:
American Journal of Applied Sciences
Volume
:
8
Issue Number
:
0
Publishing Year
:
1432 AH
2011 AD
Article Type
:
Article
Added Date
:
Monday, April 9, 2012
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
هشام سلمان
Salman, Hesham
Researcher
Master
salman@kau.edu.sa
لمياء فتوح ابراهيم
Ibrahim, Lamiaa Fattouh
Investigator
Doctorate
lfibrahim@kau.edu.sa
Files
File Name
Type
Description
33006.pdf
pdf
Using Hyper clustering Algorithms in Mobile Network Planning
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