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State-aware re-configuration model for multi-radio wireless mesh networks

Joint channel assignment and routing is a well-known problem in multi-radio wireless mesh networks for which optimal configurations is required to optimize the overall throughput and fairness. However, other objectives need to be considered in order to provide a high quality service to network users...

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Main Authors:	Omar, M. Zakaria, Hashim, Aisha-Hassan Abdalla, Hassan, Wan Haslina, Othman, Omran Khalifa, Azram, Mohammad, Goudarzi, Shidrokh, Lalitha, Bhavani Jivanadham, Zareei, Mahdi
Format:	Article
Published:	KSII 2017
Subjects:	T Technology
Online Access:	http://eprints.utm.my/id/eprint/66134/ http://dx.doi.org/10.3837/tiis.2017.01.008
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spelling	my.utm.661342017-07-11T07:47:44Z http://eprints.utm.my/id/eprint/66134/ State-aware re-configuration model for multi-radio wireless mesh networks Omar, M. Zakaria Hashim, Aisha-Hassan Abdalla Hassan, Wan Haslina Othman, Omran Khalifa Azram, Mohammad Goudarzi, Shidrokh Lalitha, Bhavani Jivanadham Zareei, Mahdi T Technology Joint channel assignment and routing is a well-known problem in multi-radio wireless mesh networks for which optimal configurations is required to optimize the overall throughput and fairness. However, other objectives need to be considered in order to provide a high quality service to network users when it deployed with high traffic dynamic. In this paper, we propose a re-configuration optimization model that optimizes the network throughput in addition to reducing the disruption to the mesh clients’ traffic due to the re-configuration process. In this multi-objective optimization model, four objective functions are proposed to be minimized namely maximum link-channel utilization, network average contention, channel re-assignment cost, and re-routing cost. The latter two objectives focus on reducing the re-configuration overhead. This is to reduce the amount of disrupted traffic due to the channel switching and path re-routing resulted from applying the new configuration. In order to adapt to traffic dynamics in the network which might be caused by many factors i.e. users’ mobility, a centralized heuristic re-configuration algorithm called State-Aware Joint Routing and Channel Assignment (SA-JRCA) is proposed in this research based on our re-configuration model. The proposed algorithm re-assigns channels to radios and re-configures flows’ routes with aim of achieving a tradeoff between maximizing the network throughput and minimizing the re-configuration overhead. The ns-2 simulator is used as simulation tool and various metrics are evaluated. These metrics include channel-link utilization, channel re-assignment cost, re-routing cost, throughput, and delay. Simulation results show the good performance of SA-JRCA in term of packet delivery ratio, aggregated throughput and re-configuration overhead. It also shows higher stability to the traffic variation in comparison with other compared algorithms which suffer from performance degradation when high traffic dynamics is applied. KSII 2017-01-01 Article PeerReviewed Omar, M. Zakaria and Hashim, Aisha-Hassan Abdalla and Hassan, Wan Haslina and Othman, Omran Khalifa and Azram, Mohammad and Goudarzi, Shidrokh and Lalitha, Bhavani Jivanadham and Zareei, Mahdi (2017) State-aware re-configuration model for multi-radio wireless mesh networks. KSII Transactions on Internet and Information Systems, 11 (1). pp. 146-170. ISSN 1976-7277 http://dx.doi.org/10.3837/tiis.2017.01.008 DOI:10.3837/tiis.2017.01.008
institution	Universiti Teknologi Malaysia
building	UTM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Teknologi Malaysia
content_source	UTM Institutional Repository
url_provider	http://eprints.utm.my/
topic	T Technology
spellingShingle	T Technology Omar, M. Zakaria Hashim, Aisha-Hassan Abdalla Hassan, Wan Haslina Othman, Omran Khalifa Azram, Mohammad Goudarzi, Shidrokh Lalitha, Bhavani Jivanadham Zareei, Mahdi State-aware re-configuration model for multi-radio wireless mesh networks
description	Joint channel assignment and routing is a well-known problem in multi-radio wireless mesh networks for which optimal configurations is required to optimize the overall throughput and fairness. However, other objectives need to be considered in order to provide a high quality service to network users when it deployed with high traffic dynamic. In this paper, we propose a re-configuration optimization model that optimizes the network throughput in addition to reducing the disruption to the mesh clients’ traffic due to the re-configuration process. In this multi-objective optimization model, four objective functions are proposed to be minimized namely maximum link-channel utilization, network average contention, channel re-assignment cost, and re-routing cost. The latter two objectives focus on reducing the re-configuration overhead. This is to reduce the amount of disrupted traffic due to the channel switching and path re-routing resulted from applying the new configuration. In order to adapt to traffic dynamics in the network which might be caused by many factors i.e. users’ mobility, a centralized heuristic re-configuration algorithm called State-Aware Joint Routing and Channel Assignment (SA-JRCA) is proposed in this research based on our re-configuration model. The proposed algorithm re-assigns channels to radios and re-configures flows’ routes with aim of achieving a tradeoff between maximizing the network throughput and minimizing the re-configuration overhead. The ns-2 simulator is used as simulation tool and various metrics are evaluated. These metrics include channel-link utilization, channel re-assignment cost, re-routing cost, throughput, and delay. Simulation results show the good performance of SA-JRCA in term of packet delivery ratio, aggregated throughput and re-configuration overhead. It also shows higher stability to the traffic variation in comparison with other compared algorithms which suffer from performance degradation when high traffic dynamics is applied.
format	Article
author	Omar, M. Zakaria Hashim, Aisha-Hassan Abdalla Hassan, Wan Haslina Othman, Omran Khalifa Azram, Mohammad Goudarzi, Shidrokh Lalitha, Bhavani Jivanadham Zareei, Mahdi
author_facet	Omar, M. Zakaria Hashim, Aisha-Hassan Abdalla Hassan, Wan Haslina Othman, Omran Khalifa Azram, Mohammad Goudarzi, Shidrokh Lalitha, Bhavani Jivanadham Zareei, Mahdi
author_sort	Omar, M. Zakaria
title	State-aware re-configuration model for multi-radio wireless mesh networks
title_short	State-aware re-configuration model for multi-radio wireless mesh networks
title_full	State-aware re-configuration model for multi-radio wireless mesh networks
title_fullStr	State-aware re-configuration model for multi-radio wireless mesh networks
title_full_unstemmed	State-aware re-configuration model for multi-radio wireless mesh networks
title_sort	state-aware re-configuration model for multi-radio wireless mesh networks
publisher	KSII
publishDate	2017
url	http://eprints.utm.my/id/eprint/66134/ http://dx.doi.org/10.3837/tiis.2017.01.008
_version_	1643655766785130496
score	13.211869

State-aware re-configuration model for multi-radio wireless mesh networks

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