Adaptive Freeshape Clustering for Balanced Energy Saving in the WirelessHART Networks

The frequent data convergecasting from the sensor nodes to the gateways may cause imbalanced energy consumption in the Wireless Highway Addressable Remote Transducer (WirelessHART) networks, yielding a short network lifetime and frequent failures in the data acquisition. Existing solutions always te...

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Main Authors: Guangbing Xiao, Jiamin Shi, Ning Sun, Yong Chen, Yong Zhang
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2019/2836981
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author Guangbing Xiao
Jiamin Shi
Ning Sun
Yong Chen
Yong Zhang
author_facet Guangbing Xiao
Jiamin Shi
Ning Sun
Yong Chen
Yong Zhang
author_sort Guangbing Xiao
collection DOAJ
description The frequent data convergecasting from the sensor nodes to the gateways may cause imbalanced energy consumption in the Wireless Highway Addressable Remote Transducer (WirelessHART) networks, yielding a short network lifetime and frequent failures in the data acquisition. Existing solutions always tend to tradeoff between the hardware cost, routing complexity, and energy consumption, making the sensor nodes suffer from expensive hardware investment, overloaded network computation, or imbalanced energy consumption. In this paper, an Adaptive Freeshape Clustering (AFC) protocol is developed for saving and balancing the energy consumption in the WirelessHART networks. In AFC, the Region of Interest (RoI) is first divided into several fan-shaped clusters. The sensor nodes in each fan-shaped cluster compete for the positions of Cell Node (CN), and the nodes that have succeeded in the competition adjust the radius of their coverages to cover the fan-shaped clusters adaptively with the minimum overlapped areas. In this way, each fan-shaped cluster can be subdivided into several freeshape zones regarding each CN’s coverage, and the CN in each cluster takes charge of convergecasting the data to the CH. The simulations show that AFC can prolong the network lifetime by 37% compared with other related schemes, e.g., HEED, FLOODING, and DIRECT, whereas it can reduce the degree of energy imbalance by 1.29%.
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institution Kabale University
issn 1076-2787
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language English
publishDate 2019-01-01
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series Complexity
spelling doaj-art-4418c41c239242ca8c2c49beed1b63d12025-02-03T05:46:58ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/28369812836981Adaptive Freeshape Clustering for Balanced Energy Saving in the WirelessHART NetworksGuangbing Xiao0Jiamin Shi1Ning Sun2Yong Chen3Yong Zhang4Department of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210044, ChinaDepartment of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210044, ChinaDepartment of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210044, ChinaDepartment of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210044, ChinaDepartment of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210044, ChinaThe frequent data convergecasting from the sensor nodes to the gateways may cause imbalanced energy consumption in the Wireless Highway Addressable Remote Transducer (WirelessHART) networks, yielding a short network lifetime and frequent failures in the data acquisition. Existing solutions always tend to tradeoff between the hardware cost, routing complexity, and energy consumption, making the sensor nodes suffer from expensive hardware investment, overloaded network computation, or imbalanced energy consumption. In this paper, an Adaptive Freeshape Clustering (AFC) protocol is developed for saving and balancing the energy consumption in the WirelessHART networks. In AFC, the Region of Interest (RoI) is first divided into several fan-shaped clusters. The sensor nodes in each fan-shaped cluster compete for the positions of Cell Node (CN), and the nodes that have succeeded in the competition adjust the radius of their coverages to cover the fan-shaped clusters adaptively with the minimum overlapped areas. In this way, each fan-shaped cluster can be subdivided into several freeshape zones regarding each CN’s coverage, and the CN in each cluster takes charge of convergecasting the data to the CH. The simulations show that AFC can prolong the network lifetime by 37% compared with other related schemes, e.g., HEED, FLOODING, and DIRECT, whereas it can reduce the degree of energy imbalance by 1.29%.http://dx.doi.org/10.1155/2019/2836981
spellingShingle Guangbing Xiao
Jiamin Shi
Ning Sun
Yong Chen
Yong Zhang
Adaptive Freeshape Clustering for Balanced Energy Saving in the WirelessHART Networks
Complexity
title Adaptive Freeshape Clustering for Balanced Energy Saving in the WirelessHART Networks
title_full Adaptive Freeshape Clustering for Balanced Energy Saving in the WirelessHART Networks
title_fullStr Adaptive Freeshape Clustering for Balanced Energy Saving in the WirelessHART Networks
title_full_unstemmed Adaptive Freeshape Clustering for Balanced Energy Saving in the WirelessHART Networks
title_short Adaptive Freeshape Clustering for Balanced Energy Saving in the WirelessHART Networks
title_sort adaptive freeshape clustering for balanced energy saving in the wirelesshart networks
url http://dx.doi.org/10.1155/2019/2836981
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AT ningsun adaptivefreeshapeclusteringforbalancedenergysavinginthewirelesshartnetworks
AT yongchen adaptivefreeshapeclusteringforbalancedenergysavinginthewirelesshartnetworks
AT yongzhang adaptivefreeshapeclusteringforbalancedenergysavinginthewirelesshartnetworks