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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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/ |
work_keys_str_mv |
AT taylerpino dominatingsetalgorithmsforwirelesssensornetworkssurvivability AT salimurchoudhury dominatingsetalgorithmsforwirelesssensornetworkssurvivability AT fadialturjman dominatingsetalgorithmsforwirelesssensornetworkssurvivability |
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1724193687316987904 |