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Resource Optimization Scheme for Multimedia-Enabled Wireless Mesh Networks

Wireless mesh networking is a promising technology that can support numerous multimedia applications. Multimedia applications have stringent quality of service (QoS) requirements, i.e., bandwidth, delay, jitter, and packet loss ratio. Enabling such QoS-demanding applications over wireless mesh netwo...

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Detalles Bibliográficos
Autores principales: Ali, Amjad, Ahmed, Muhammad Ejaz, Piran, Md. Jalil, Suh, Doug Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4179066/
https://www.ncbi.nlm.nih.gov/pubmed/25111241
http://dx.doi.org/10.3390/s140814500
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author Ali, Amjad
Ahmed, Muhammad Ejaz
Piran, Md. Jalil
Suh, Doug Young
author_facet Ali, Amjad
Ahmed, Muhammad Ejaz
Piran, Md. Jalil
Suh, Doug Young
author_sort Ali, Amjad
collection PubMed
description Wireless mesh networking is a promising technology that can support numerous multimedia applications. Multimedia applications have stringent quality of service (QoS) requirements, i.e., bandwidth, delay, jitter, and packet loss ratio. Enabling such QoS-demanding applications over wireless mesh networks (WMNs) require QoS provisioning routing protocols that lead to the network resource underutilization problem. Moreover, random topology deployment leads to have some unused network resources. Therefore, resource optimization is one of the most critical design issues in multi-hop, multi-radio WMNs enabled with multimedia applications. Resource optimization has been studied extensively in the literature for wireless Ad Hoc and sensor networks, but existing studies have not considered resource underutilization issues caused by QoS provisioning routing and random topology deployment. Finding a QoS-provisioned path in wireless mesh networks is an NP complete problem. In this paper, we propose a novel Integer Linear Programming (ILP) optimization model to reconstruct the optimal connected mesh backbone topology with a minimum number of links and relay nodes which satisfies the given end-to-end QoS demands for multimedia traffic and identification of extra resources, while maintaining redundancy. We further propose a polynomial time heuristic algorithm called Link and Node Removal Considering Residual Capacity and Traffic Demands (LNR-RCTD). Simulation studies prove that our heuristic algorithm provides near-optimal results and saves about 20% of resources from being wasted by QoS provisioning routing and random topology deployment.
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spelling pubmed-41790662014-10-02 Resource Optimization Scheme for Multimedia-Enabled Wireless Mesh Networks Ali, Amjad Ahmed, Muhammad Ejaz Piran, Md. Jalil Suh, Doug Young Sensors (Basel) Article Wireless mesh networking is a promising technology that can support numerous multimedia applications. Multimedia applications have stringent quality of service (QoS) requirements, i.e., bandwidth, delay, jitter, and packet loss ratio. Enabling such QoS-demanding applications over wireless mesh networks (WMNs) require QoS provisioning routing protocols that lead to the network resource underutilization problem. Moreover, random topology deployment leads to have some unused network resources. Therefore, resource optimization is one of the most critical design issues in multi-hop, multi-radio WMNs enabled with multimedia applications. Resource optimization has been studied extensively in the literature for wireless Ad Hoc and sensor networks, but existing studies have not considered resource underutilization issues caused by QoS provisioning routing and random topology deployment. Finding a QoS-provisioned path in wireless mesh networks is an NP complete problem. In this paper, we propose a novel Integer Linear Programming (ILP) optimization model to reconstruct the optimal connected mesh backbone topology with a minimum number of links and relay nodes which satisfies the given end-to-end QoS demands for multimedia traffic and identification of extra resources, while maintaining redundancy. We further propose a polynomial time heuristic algorithm called Link and Node Removal Considering Residual Capacity and Traffic Demands (LNR-RCTD). Simulation studies prove that our heuristic algorithm provides near-optimal results and saves about 20% of resources from being wasted by QoS provisioning routing and random topology deployment. MDPI 2014-08-08 /pmc/articles/PMC4179066/ /pubmed/25111241 http://dx.doi.org/10.3390/s140814500 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Ali, Amjad
Ahmed, Muhammad Ejaz
Piran, Md. Jalil
Suh, Doug Young
Resource Optimization Scheme for Multimedia-Enabled Wireless Mesh Networks
title Resource Optimization Scheme for Multimedia-Enabled Wireless Mesh Networks
title_full Resource Optimization Scheme for Multimedia-Enabled Wireless Mesh Networks
title_fullStr Resource Optimization Scheme for Multimedia-Enabled Wireless Mesh Networks
title_full_unstemmed Resource Optimization Scheme for Multimedia-Enabled Wireless Mesh Networks
title_short Resource Optimization Scheme for Multimedia-Enabled Wireless Mesh Networks
title_sort resource optimization scheme for multimedia-enabled wireless mesh networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4179066/
https://www.ncbi.nlm.nih.gov/pubmed/25111241
http://dx.doi.org/10.3390/s140814500
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