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Superframe Duration Allocation Schemes to Improve the Throughput of Cluster-Tree Wireless Sensor Networks

The use of Wireless Sensor Network (WSN) technologies is an attractive option to support wide-scale monitoring applications, such as the ones that can be found in precision agriculture, environmental monitoring and industrial automation. The IEEE 802.15.4/ZigBee cluster-tree topology is a suitable t...

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Autores principales: Leão, Erico, Montez, Carlos, Moraes, Ricardo, Portugal, Paulo, Vasques, Francisco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336104/
https://www.ncbi.nlm.nih.gov/pubmed/28134822
http://dx.doi.org/10.3390/s17020249
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author Leão, Erico
Montez, Carlos
Moraes, Ricardo
Portugal, Paulo
Vasques, Francisco
author_facet Leão, Erico
Montez, Carlos
Moraes, Ricardo
Portugal, Paulo
Vasques, Francisco
author_sort Leão, Erico
collection PubMed
description The use of Wireless Sensor Network (WSN) technologies is an attractive option to support wide-scale monitoring applications, such as the ones that can be found in precision agriculture, environmental monitoring and industrial automation. The IEEE 802.15.4/ZigBee cluster-tree topology is a suitable topology to build wide-scale WSNs. Despite some of its known advantages, including timing synchronisation and duty-cycle operation, cluster-tree networks may suffer from severe network congestion problems due to the convergecast pattern of its communication traffic. Therefore, the careful adjustment of transmission opportunities (superframe durations) allocated to the cluster-heads is an important research issue. This paper proposes a set of proportional Superframe Duration Allocation (SDA) schemes, based on well-defined protocol and timing models, and on the message load imposed by child nodes (Load-SDA scheme), or by number of descendant nodes (Nodes-SDA scheme) of each cluster-head. The underlying reasoning is to adequately allocate transmission opportunities (superframe durations) and parametrize buffer sizes, in order to improve the network throughput and avoid typical problems, such as: network congestion, high end-to-end communication delays and discarded messages due to buffer overflows. Simulation assessments show how proposed allocation schemes may clearly improve the operation of wide-scale cluster-tree networks.
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spelling pubmed-53361042017-03-16 Superframe Duration Allocation Schemes to Improve the Throughput of Cluster-Tree Wireless Sensor Networks Leão, Erico Montez, Carlos Moraes, Ricardo Portugal, Paulo Vasques, Francisco Sensors (Basel) Article The use of Wireless Sensor Network (WSN) technologies is an attractive option to support wide-scale monitoring applications, such as the ones that can be found in precision agriculture, environmental monitoring and industrial automation. The IEEE 802.15.4/ZigBee cluster-tree topology is a suitable topology to build wide-scale WSNs. Despite some of its known advantages, including timing synchronisation and duty-cycle operation, cluster-tree networks may suffer from severe network congestion problems due to the convergecast pattern of its communication traffic. Therefore, the careful adjustment of transmission opportunities (superframe durations) allocated to the cluster-heads is an important research issue. This paper proposes a set of proportional Superframe Duration Allocation (SDA) schemes, based on well-defined protocol and timing models, and on the message load imposed by child nodes (Load-SDA scheme), or by number of descendant nodes (Nodes-SDA scheme) of each cluster-head. The underlying reasoning is to adequately allocate transmission opportunities (superframe durations) and parametrize buffer sizes, in order to improve the network throughput and avoid typical problems, such as: network congestion, high end-to-end communication delays and discarded messages due to buffer overflows. Simulation assessments show how proposed allocation schemes may clearly improve the operation of wide-scale cluster-tree networks. MDPI 2017-01-27 /pmc/articles/PMC5336104/ /pubmed/28134822 http://dx.doi.org/10.3390/s17020249 Text en © 2017 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 (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Leão, Erico
Montez, Carlos
Moraes, Ricardo
Portugal, Paulo
Vasques, Francisco
Superframe Duration Allocation Schemes to Improve the Throughput of Cluster-Tree Wireless Sensor Networks
title Superframe Duration Allocation Schemes to Improve the Throughput of Cluster-Tree Wireless Sensor Networks
title_full Superframe Duration Allocation Schemes to Improve the Throughput of Cluster-Tree Wireless Sensor Networks
title_fullStr Superframe Duration Allocation Schemes to Improve the Throughput of Cluster-Tree Wireless Sensor Networks
title_full_unstemmed Superframe Duration Allocation Schemes to Improve the Throughput of Cluster-Tree Wireless Sensor Networks
title_short Superframe Duration Allocation Schemes to Improve the Throughput of Cluster-Tree Wireless Sensor Networks
title_sort superframe duration allocation schemes to improve the throughput of cluster-tree wireless sensor networks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5336104/
https://www.ncbi.nlm.nih.gov/pubmed/28134822
http://dx.doi.org/10.3390/s17020249
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