Investigation of gateway placement optimization approaches in wireless mesh networks using genetic algorithms

Recently wireless mesh networks (WMNs) gained significant roles in the current communication technologies and have been used in numerous applications such as transportation systems, rescue systems, Surveillance systems, community and neighborhood networking and etc. Therefore, many researchers pay t...

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Main Authors:	M. Ahmed, Awadallah, Hassan Abdalla Hashim, Aisha, Hassan, Wan Haslina
Format:	Conference or Workshop Item
Language:	English English
Published:	2014
Subjects:	T10.5 Communication of technical information
Online Access:	http://irep.iium.edu.my/42043/ http://irep.iium.edu.my/42043/ http://irep.iium.edu.my/42043/1/42043_edited.pdf http://irep.iium.edu.my/42043/4/42043_Investigation%20of%20gateway%20placement%20optimization_Scopus.pdf

id	iium-42043
recordtype	eprints
spelling	iium-420432017-09-23T04:02:56Z http://irep.iium.edu.my/42043/ Investigation of gateway placement optimization approaches in wireless mesh networks using genetic algorithms M. Ahmed, Awadallah Hassan Abdalla Hashim, Aisha Hassan, Wan Haslina T10.5 Communication of technical information Recently wireless mesh networks (WMNs) gained significant roles in the current communication technologies and have been used in numerous applications such as transportation systems, rescue systems, Surveillance systems, community and neighborhood networking and etc. Therefore, many researchers pay their attention to the wireless mesh network issues especially the gateway placement optimization problems. In this paper, we study and investigate the efforts of many researchers that dealt with the gateway placement optimization problem based on combinatorial optimization concepts in comparison with other conventional algorithms as well as comparing the combinatorial based algorithms with each other. The investigation result shows that the genetic algorithms based approaches on solving gateway optimization problem relatively outperform many other approaches in addition to that the strength of the genetic algorithm depends on the fitness function which is used in measuring the quality of the individuals (fitness value). 2014 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/42043/1/42043_edited.pdf application/pdf en http://irep.iium.edu.my/42043/4/42043_Investigation%20of%20gateway%20placement%20optimization_Scopus.pdf M. Ahmed, Awadallah and Hassan Abdalla Hashim, Aisha and Hassan, Wan Haslina (2014) Investigation of gateway placement optimization approaches in wireless mesh networks using genetic algorithms. In: 5th International Conference on Computer and Communication Engineering (ICCCE 2014), 23th - 25th September 2014, Sunway Putra Hotel, Kuala Lumpur. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7031602&tag=1
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	T10.5 Communication of technical information
spellingShingle	T10.5 Communication of technical information M. Ahmed, Awadallah Hassan Abdalla Hashim, Aisha Hassan, Wan Haslina Investigation of gateway placement optimization approaches in wireless mesh networks using genetic algorithms
description	Recently wireless mesh networks (WMNs) gained significant roles in the current communication technologies and have been used in numerous applications such as transportation systems, rescue systems, Surveillance systems, community and neighborhood networking and etc. Therefore, many researchers pay their attention to the wireless mesh network issues especially the gateway placement optimization problems. In this paper, we study and investigate the efforts of many researchers that dealt with the gateway placement optimization problem based on combinatorial optimization concepts in comparison with other conventional algorithms as well as comparing the combinatorial based algorithms with each other. The investigation result shows that the genetic algorithms based approaches on solving gateway optimization problem relatively outperform many other approaches in addition to that the strength of the genetic algorithm depends on the fitness function which is used in measuring the quality of the individuals (fitness value).
format	Conference or Workshop Item
author	M. Ahmed, Awadallah Hassan Abdalla Hashim, Aisha Hassan, Wan Haslina
author_facet	M. Ahmed, Awadallah Hassan Abdalla Hashim, Aisha Hassan, Wan Haslina
author_sort	M. Ahmed, Awadallah
title	Investigation of gateway placement optimization approaches in wireless mesh networks using genetic algorithms
title_short	Investigation of gateway placement optimization approaches in wireless mesh networks using genetic algorithms
title_full	Investigation of gateway placement optimization approaches in wireless mesh networks using genetic algorithms
title_fullStr	Investigation of gateway placement optimization approaches in wireless mesh networks using genetic algorithms
title_full_unstemmed	Investigation of gateway placement optimization approaches in wireless mesh networks using genetic algorithms
title_sort	investigation of gateway placement optimization approaches in wireless mesh networks using genetic algorithms
publishDate	2014
url	http://irep.iium.edu.my/42043/ http://irep.iium.edu.my/42043/ http://irep.iium.edu.my/42043/1/42043_edited.pdf http://irep.iium.edu.my/42043/4/42043_Investigation%20of%20gateway%20placement%20optimization_Scopus.pdf
first_indexed	2023-09-18T21:00:01Z
last_indexed	2023-09-18T21:00:01Z
_version_	1777410560492568576

Investigation of gateway placement optimization approaches in wireless mesh networks using genetic algorithms

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