Performance Analysis of Dijkstra-Based Weighted Sum Minimization Routing Algorithm for Wireless Mesh Networks

Multiobjective optimization methods for routing in static wireless mesh networks (WMNs), with more than one QoS measure to be optimized, are highly challenging. To optimize the performance for a given end-to-end route in a static network, the most common metrics that need to be optimized or bounded...

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Main Author: Nuha A. S. Alwan
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Modelling and Simulation in Engineering
Online Access:http://dx.doi.org/10.1155/2014/658408
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author Nuha A. S. Alwan
author_facet Nuha A. S. Alwan
author_sort Nuha A. S. Alwan
collection DOAJ
description Multiobjective optimization methods for routing in static wireless mesh networks (WMNs), with more than one QoS measure to be optimized, are highly challenging. To optimize the performance for a given end-to-end route in a static network, the most common metrics that need to be optimized or bounded are the path capacity and the end-to-end delay. In this work, we focus on combining desirable properties of these two metrics by minimizing a weighted metrics sum via a Dijkstra-based algorithm. The approach is directed towards fast convergence rather than optimality. It is shown that the resulting algorithm provides more satisfactory results than simple Dijkstra-based pruning algorithms in terms of simultaneously achieving high capacity and small delay. The effect of changing the weighting factor on the proposed algorithm performance is investigated.
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spelling doaj-art-85099c079dcc44ab869615a155b2f33c2025-02-03T06:12:22ZengWileyModelling and Simulation in Engineering1687-55911687-56052014-01-01201410.1155/2014/658408658408Performance Analysis of Dijkstra-Based Weighted Sum Minimization Routing Algorithm for Wireless Mesh NetworksNuha A. S. Alwan0Department of Computer Engineering, College of Engineering, Baghdad University, Baghdad, IraqMultiobjective optimization methods for routing in static wireless mesh networks (WMNs), with more than one QoS measure to be optimized, are highly challenging. To optimize the performance for a given end-to-end route in a static network, the most common metrics that need to be optimized or bounded are the path capacity and the end-to-end delay. In this work, we focus on combining desirable properties of these two metrics by minimizing a weighted metrics sum via a Dijkstra-based algorithm. The approach is directed towards fast convergence rather than optimality. It is shown that the resulting algorithm provides more satisfactory results than simple Dijkstra-based pruning algorithms in terms of simultaneously achieving high capacity and small delay. The effect of changing the weighting factor on the proposed algorithm performance is investigated.http://dx.doi.org/10.1155/2014/658408
spellingShingle Nuha A. S. Alwan
Performance Analysis of Dijkstra-Based Weighted Sum Minimization Routing Algorithm for Wireless Mesh Networks
Modelling and Simulation in Engineering
title Performance Analysis of Dijkstra-Based Weighted Sum Minimization Routing Algorithm for Wireless Mesh Networks
title_full Performance Analysis of Dijkstra-Based Weighted Sum Minimization Routing Algorithm for Wireless Mesh Networks
title_fullStr Performance Analysis of Dijkstra-Based Weighted Sum Minimization Routing Algorithm for Wireless Mesh Networks
title_full_unstemmed Performance Analysis of Dijkstra-Based Weighted Sum Minimization Routing Algorithm for Wireless Mesh Networks
title_short Performance Analysis of Dijkstra-Based Weighted Sum Minimization Routing Algorithm for Wireless Mesh Networks
title_sort performance analysis of dijkstra based weighted sum minimization routing algorithm for wireless mesh networks
url http://dx.doi.org/10.1155/2014/658408
work_keys_str_mv AT nuhaasalwan performanceanalysisofdijkstrabasedweightedsumminimizationroutingalgorithmforwirelessmeshnetworks