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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2014
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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. |
format | Online Article Text |
id | pubmed-4179066 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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