A Chain-Based Wireless Sensor Network Model Using the Douglas-Peucker Algorithm in the Iot Environment

WSNs which are the major component in the IoT mainly use interconnected intelligent wireless sensors. These wireless sensors sense monitor and gather data from their surroundings and then deliver them to users or access connected IoT devices remotely. One of the main issues in WSNs is that sensor no...

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Autor principal: Se-Jung Lim
Formato: article
Lenguaje:EN
Publicado: Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek 2021
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Acceso en línea:https://doaj.org/article/e74c235bc59c4d909d2579b75972b1df
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spelling oai:doaj.org-article:e74c235bc59c4d909d2579b75972b1df2021-11-07T00:33:35ZA Chain-Based Wireless Sensor Network Model Using the Douglas-Peucker Algorithm in the Iot Environment1330-36511848-6339https://doaj.org/article/e74c235bc59c4d909d2579b75972b1df2021-01-01T00:00:00Zhttps://hrcak.srce.hr/file/383544https://doaj.org/toc/1330-3651https://doaj.org/toc/1848-6339WSNs which are the major component in the IoT mainly use interconnected intelligent wireless sensors. These wireless sensors sense monitor and gather data from their surroundings and then deliver them to users or access connected IoT devices remotely. One of the main issues in WSNs is that sensor nodes are generally powered by batteries, but because of the rugged environments, it is difficult to add energy. The other one may cause an unbalanced energy consumption among sensor nodes due to the uneven distribution of sensors. For these reasons, the death of nodes by the energy exhausting and the performance of the network may rapidly decrease. Hence, an efficient algorithm study for prolonging the network lifetime of WSNs is one of important challenges. In this paper, a chain-based wireless sensor network model is proposed to improve network performance with balanced energy consumption via the solution of the long-distance communication problem. The proposed algorithm is consisted of three phases: Segmentation, Chain Formation, and Data Collection. In segmentation phase, an optimal distance tolerance is determined, and then the network field is divided into small sub-regions according to its value. The chain formation is started from the sub-region far away from the sink, and then extended, and sensed data are collected along a chain and transmitted to a sink. Simulations have been performed to compare with PEGASIS and Enhanced PEGASIS using an OMNET++ simulator. The simulation results from this study showed that the proposed algorithm prolonged the network lifetime via the achievement of the balanced energy consumption compared to PEGASIS and Enhanced PEGASIS. The proposed algorithm can be used in any applications to improve network performance of WSNs.Se-Jung LimFaculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek articleBCFAChain FormationData CollectionDouglas-Peucker line-simplification algorithmInternet of Things (IoT)PEGASISEngineering (General). Civil engineering (General)TA1-2040ENTehnički Vjesnik, Vol 28, Iss 6, Pp 1825-1832 (2021)
institution DOAJ
collection DOAJ
language EN
topic BCFA
Chain Formation
Data Collection
Douglas-Peucker line-simplification algorithm
Internet of Things (IoT)
PEGASIS
Engineering (General). Civil engineering (General)
TA1-2040
spellingShingle BCFA
Chain Formation
Data Collection
Douglas-Peucker line-simplification algorithm
Internet of Things (IoT)
PEGASIS
Engineering (General). Civil engineering (General)
TA1-2040
Se-Jung Lim
A Chain-Based Wireless Sensor Network Model Using the Douglas-Peucker Algorithm in the Iot Environment
description WSNs which are the major component in the IoT mainly use interconnected intelligent wireless sensors. These wireless sensors sense monitor and gather data from their surroundings and then deliver them to users or access connected IoT devices remotely. One of the main issues in WSNs is that sensor nodes are generally powered by batteries, but because of the rugged environments, it is difficult to add energy. The other one may cause an unbalanced energy consumption among sensor nodes due to the uneven distribution of sensors. For these reasons, the death of nodes by the energy exhausting and the performance of the network may rapidly decrease. Hence, an efficient algorithm study for prolonging the network lifetime of WSNs is one of important challenges. In this paper, a chain-based wireless sensor network model is proposed to improve network performance with balanced energy consumption via the solution of the long-distance communication problem. The proposed algorithm is consisted of three phases: Segmentation, Chain Formation, and Data Collection. In segmentation phase, an optimal distance tolerance is determined, and then the network field is divided into small sub-regions according to its value. The chain formation is started from the sub-region far away from the sink, and then extended, and sensed data are collected along a chain and transmitted to a sink. Simulations have been performed to compare with PEGASIS and Enhanced PEGASIS using an OMNET++ simulator. The simulation results from this study showed that the proposed algorithm prolonged the network lifetime via the achievement of the balanced energy consumption compared to PEGASIS and Enhanced PEGASIS. The proposed algorithm can be used in any applications to improve network performance of WSNs.
format article
author Se-Jung Lim
author_facet Se-Jung Lim
author_sort Se-Jung Lim
title A Chain-Based Wireless Sensor Network Model Using the Douglas-Peucker Algorithm in the Iot Environment
title_short A Chain-Based Wireless Sensor Network Model Using the Douglas-Peucker Algorithm in the Iot Environment
title_full A Chain-Based Wireless Sensor Network Model Using the Douglas-Peucker Algorithm in the Iot Environment
title_fullStr A Chain-Based Wireless Sensor Network Model Using the Douglas-Peucker Algorithm in the Iot Environment
title_full_unstemmed A Chain-Based Wireless Sensor Network Model Using the Douglas-Peucker Algorithm in the Iot Environment
title_sort chain-based wireless sensor network model using the douglas-peucker algorithm in the iot environment
publisher Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
publishDate 2021
url https://doaj.org/article/e74c235bc59c4d909d2579b75972b1df
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