Dominating Set Algorithms for Wireless Sensor Networks Survivability

Limited energy of the sensors is one of the key issues towards realizing a reliable wireless sensor network (WSN), which can survive under the emerging WSN applications. A promising method for conserving the energy of these sensors can be implemented by applying a sleep-wake scheduling while distrib...

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Main Authors: Tayler Pino, Salimur Choudhury, Fadi Al-Turjman
Format: Article
Language:English
Published: IEEE 2018-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8327581/
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spelling doaj-ff5d5ddd5ee84ace88f24536f08170c42021-03-29T21:02:08ZengIEEEIEEE Access2169-35362018-01-016175271753210.1109/ACCESS.2018.28190838327581Dominating Set Algorithms for Wireless Sensor Networks SurvivabilityTayler Pino0Salimur Choudhury1https://orcid.org/0000-0002-3187-112XFadi Al-Turjman2https://orcid.org/0000-0001-5418-873XDepartment of Computer Science, Algoma University, Sault Ste. Marie, ON, CanadaDepartment of Computer Science, Lakehead University, Thunder Bay, ON, CanadaAntalya Bilim University, Antalya, TurkeyLimited energy of the sensors is one of the key issues towards realizing a reliable wireless sensor network (WSN), which can survive under the emerging WSN applications. A promising method for conserving the energy of these sensors can be implemented by applying a sleep-wake scheduling while distributing the data gathering and sensing tasks to a dominating set of awake sensors while the other nodes are in a sleep mode. Producing the maximum possible number of such disjoint dominating sets, called the domatic partition problem in unit disk graphs, can further prolong the network lifetime. This problem becomes challenging when the initial energy of the nodes varies from one to another. In this paper, we introduce multiple local search algorithms that can improve the total lifetime of WSNs consisting of nodes with varying initial energy. We discuss the performance of the existing dominating set algorithm and introduce three more algorithms which can be applied on multiple disjoint dominating sets with nodes having varying initial energy. We discuss the efficiency of each of the algorithms through extensive simulations.https://ieeexplore.ieee.org/document/8327581/Wireless sensor networknetwork lifetimedominating set algorithm
collection DOAJ
language English
format Article
sources DOAJ
author Tayler Pino
Salimur Choudhury
Fadi Al-Turjman
spellingShingle Tayler Pino
Salimur Choudhury
Fadi Al-Turjman
Dominating Set Algorithms for Wireless Sensor Networks Survivability
IEEE Access
Wireless sensor network
network lifetime
dominating set algorithm
author_facet Tayler Pino
Salimur Choudhury
Fadi Al-Turjman
author_sort Tayler Pino
title Dominating Set Algorithms for Wireless Sensor Networks Survivability
title_short Dominating Set Algorithms for Wireless Sensor Networks Survivability
title_full Dominating Set Algorithms for Wireless Sensor Networks Survivability
title_fullStr Dominating Set Algorithms for Wireless Sensor Networks Survivability
title_full_unstemmed Dominating Set Algorithms for Wireless Sensor Networks Survivability
title_sort dominating set algorithms for wireless sensor networks survivability
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2018-01-01
description Limited energy of the sensors is one of the key issues towards realizing a reliable wireless sensor network (WSN), which can survive under the emerging WSN applications. A promising method for conserving the energy of these sensors can be implemented by applying a sleep-wake scheduling while distributing the data gathering and sensing tasks to a dominating set of awake sensors while the other nodes are in a sleep mode. Producing the maximum possible number of such disjoint dominating sets, called the domatic partition problem in unit disk graphs, can further prolong the network lifetime. This problem becomes challenging when the initial energy of the nodes varies from one to another. In this paper, we introduce multiple local search algorithms that can improve the total lifetime of WSNs consisting of nodes with varying initial energy. We discuss the performance of the existing dominating set algorithm and introduce three more algorithms which can be applied on multiple disjoint dominating sets with nodes having varying initial energy. We discuss the efficiency of each of the algorithms through extensive simulations.
topic Wireless sensor network
network lifetime
dominating set algorithm
url https://ieeexplore.ieee.org/document/8327581/
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AT salimurchoudhury dominatingsetalgorithmsforwirelesssensornetworkssurvivability
AT fadialturjman dominatingsetalgorithmsforwirelesssensornetworkssurvivability
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