Modelling and Implementation of QoS in Wireless Sensor Networks: A Multiconstrained Traffic Engineering Model

<p/> <p>This paper revisits the problem of Quality of Service (QoS) provisioning to assess the relevance of using multipath routing to improve the reliability and packet delivery in wireless sensor networks while maintaining lower power consumption levels. Building upon a previous benchm...

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Main Author: Bagula AntoineB
Format: Article
Language:English
Published: SpringerOpen 2010-01-01
Series:EURASIP Journal on Wireless Communications and Networking
Online Access:http://jwcn.eurasipjournals.com/content/2010/468737
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spelling doaj-66da18bacadd4cef890527874baa4d922020-11-24T21:40:16ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14721687-14992010-01-0120101468737Modelling and Implementation of QoS in Wireless Sensor Networks: A Multiconstrained Traffic Engineering ModelBagula AntoineB<p/> <p>This paper revisits the problem of Quality of Service (QoS) provisioning to assess the relevance of using multipath routing to improve the reliability and packet delivery in wireless sensor networks while maintaining lower power consumption levels. Building upon a previous benchmark, we propose a traffic engineering model that relies on delay, reliability, and energy-constrained paths to achieve faster, reliable, and energy-efficient transmission of the information routed by a wireless sensor network. As a step forward into the implementation of the proposed QoS model, we describe the initial steps of its packet forwarding protocol and highlight the tradeoff between the complexity of the model and the ease of implementation. Using simulation, we demonstrate the relative efficiency of our proposed model compared to single path routing, disjoint path routing, and the previously proposed benchmarks. The results reveal that by achieving a good tradeoff between delay minimization, reliability maximization, and path set selection, our model outperforms the other models in terms of energy consumption and quality of paths used to route the information.</p>http://jwcn.eurasipjournals.com/content/2010/468737
collection DOAJ
language English
format Article
sources DOAJ
author Bagula AntoineB
spellingShingle Bagula AntoineB
Modelling and Implementation of QoS in Wireless Sensor Networks: A Multiconstrained Traffic Engineering Model
EURASIP Journal on Wireless Communications and Networking
author_facet Bagula AntoineB
author_sort Bagula AntoineB
title Modelling and Implementation of QoS in Wireless Sensor Networks: A Multiconstrained Traffic Engineering Model
title_short Modelling and Implementation of QoS in Wireless Sensor Networks: A Multiconstrained Traffic Engineering Model
title_full Modelling and Implementation of QoS in Wireless Sensor Networks: A Multiconstrained Traffic Engineering Model
title_fullStr Modelling and Implementation of QoS in Wireless Sensor Networks: A Multiconstrained Traffic Engineering Model
title_full_unstemmed Modelling and Implementation of QoS in Wireless Sensor Networks: A Multiconstrained Traffic Engineering Model
title_sort modelling and implementation of qos in wireless sensor networks: a multiconstrained traffic engineering model
publisher SpringerOpen
series EURASIP Journal on Wireless Communications and Networking
issn 1687-1472
1687-1499
publishDate 2010-01-01
description <p/> <p>This paper revisits the problem of Quality of Service (QoS) provisioning to assess the relevance of using multipath routing to improve the reliability and packet delivery in wireless sensor networks while maintaining lower power consumption levels. Building upon a previous benchmark, we propose a traffic engineering model that relies on delay, reliability, and energy-constrained paths to achieve faster, reliable, and energy-efficient transmission of the information routed by a wireless sensor network. As a step forward into the implementation of the proposed QoS model, we describe the initial steps of its packet forwarding protocol and highlight the tradeoff between the complexity of the model and the ease of implementation. Using simulation, we demonstrate the relative efficiency of our proposed model compared to single path routing, disjoint path routing, and the previously proposed benchmarks. The results reveal that by achieving a good tradeoff between delay minimization, reliability maximization, and path set selection, our model outperforms the other models in terms of energy consumption and quality of paths used to route the information.</p>
url http://jwcn.eurasipjournals.com/content/2010/468737
work_keys_str_mv AT bagulaantoineb modellingandimplementationofqosinwirelesssensornetworksamulticonstrainedtrafficengineeringmodel
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