A Level-Wise Periodic Tree Construction Mechanism for Sleep Scheduling in WSN

The wireless sensor network (WSN) has been extensively used to monitor and control the natural ecosystem on a large scale like air quality, natural life, etc. Low battery power,low storage, and limited processing ability are the most critical areas of concern in WSN. To reduce energy utilization, th...

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Main Authors: Nachiketa Tarasia, Amulya Ratna Swain, Soham Roy, Udit Narayana Kar
Format: Article
Language:English
Published: Croatian Communications and Information Society (CCIS) 2020-06-01
Series:Journal of Communications Software and Systems
Subjects:
Online Access:https://jcomss.fesb.unist.hr/index.php/jcomss/article/view/974/pdf
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spelling doaj-6e7fad2420e240e7b70f9d4acf13b8dc2020-11-25T03:30:16ZengCroatian Communications and Information Society (CCIS)Journal of Communications Software and Systems1845-64211846-60792020-06-01162113121A Level-Wise Periodic Tree Construction Mechanism for Sleep Scheduling in WSNNachiketa TarasiaAmulya Ratna SwainSoham RoyUdit Narayana KarThe wireless sensor network (WSN) has been extensively used to monitor and control the natural ecosystem on a large scale like air quality, natural life, etc. Low battery power,low storage, and limited processing ability are the most critical areas of concern in WSN. To reduce energy utilization, the sensor nodes in WSN work in a cyclic process between active and sleep mode. A certain number of nodes are chosen active and they are responsible for sensing as well as data transmission and rest of the nodes are gone to sleep. In order to lengthen the lifetime of network, in this paper we proposed a level wise periodic tree construction algorithm that uses a specific set of nodes to participate in tree construction, instead of all the nodes, to minimize the energy consumption. In this proposed approach, the main idea is to put the nodes, which are currently active and have already spent a significant amount of energy, to sleep mode, while giving chances to the leaf nodes, which has comparatively spent less energy, to become an active node and maintain connectivity. The performance of the proposed protocol is evaluated using the Castalia simulator. The simulation results show that the proposed level-wise periodic tree construction approach increases the durability of the network in conjunction with the non-level approach.https://jcomss.fesb.unist.hr/index.php/jcomss/article/view/974/pdfwireless sensor networksleep schedulingenergy efficiencyhierarchical structure
collection DOAJ
language English
format Article
sources DOAJ
author Nachiketa Tarasia
Amulya Ratna Swain
Soham Roy
Udit Narayana Kar
spellingShingle Nachiketa Tarasia
Amulya Ratna Swain
Soham Roy
Udit Narayana Kar
A Level-Wise Periodic Tree Construction Mechanism for Sleep Scheduling in WSN
Journal of Communications Software and Systems
wireless sensor network
sleep scheduling
energy efficiency
hierarchical structure
author_facet Nachiketa Tarasia
Amulya Ratna Swain
Soham Roy
Udit Narayana Kar
author_sort Nachiketa Tarasia
title A Level-Wise Periodic Tree Construction Mechanism for Sleep Scheduling in WSN
title_short A Level-Wise Periodic Tree Construction Mechanism for Sleep Scheduling in WSN
title_full A Level-Wise Periodic Tree Construction Mechanism for Sleep Scheduling in WSN
title_fullStr A Level-Wise Periodic Tree Construction Mechanism for Sleep Scheduling in WSN
title_full_unstemmed A Level-Wise Periodic Tree Construction Mechanism for Sleep Scheduling in WSN
title_sort level-wise periodic tree construction mechanism for sleep scheduling in wsn
publisher Croatian Communications and Information Society (CCIS)
series Journal of Communications Software and Systems
issn 1845-6421
1846-6079
publishDate 2020-06-01
description The wireless sensor network (WSN) has been extensively used to monitor and control the natural ecosystem on a large scale like air quality, natural life, etc. Low battery power,low storage, and limited processing ability are the most critical areas of concern in WSN. To reduce energy utilization, the sensor nodes in WSN work in a cyclic process between active and sleep mode. A certain number of nodes are chosen active and they are responsible for sensing as well as data transmission and rest of the nodes are gone to sleep. In order to lengthen the lifetime of network, in this paper we proposed a level wise periodic tree construction algorithm that uses a specific set of nodes to participate in tree construction, instead of all the nodes, to minimize the energy consumption. In this proposed approach, the main idea is to put the nodes, which are currently active and have already spent a significant amount of energy, to sleep mode, while giving chances to the leaf nodes, which has comparatively spent less energy, to become an active node and maintain connectivity. The performance of the proposed protocol is evaluated using the Castalia simulator. The simulation results show that the proposed level-wise periodic tree construction approach increases the durability of the network in conjunction with the non-level approach.
topic wireless sensor network
sleep scheduling
energy efficiency
hierarchical structure
url https://jcomss.fesb.unist.hr/index.php/jcomss/article/view/974/pdf
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