Lifetime Improvement Based on Event Occurrence Patterns for Wireless Sensor Networks Using Multi-Objective Optimization

The wide range of wireless sensor network applications has made it an interesting subject for many studies. One area of research is the controlled node placement in which the location of nodes is not random but predetermined. Controlled node placement can be very effective when either the price of t...

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Vydané v:	Wireless personal communications Ročník 125; číslo 4; s. 3333 - 3349
Hlavní autori:	Mohtashami, Hossein, Movaghar, Ali, Teshnehlab, Mohammad
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.08.2022 Springer Nature B.V
Predmet:	Communications Engineering Computer Communication Networks Engineering Evolutionary algorithms Multiple objective analysis Network reliability Networks Nodes Optimization Optimization algorithms Placement Radio communications Reliability aspects Sensors Signal,Image and Speech Processing Wireless networks Wireless sensor networks Wireless sensor network WSN Multi-objective evolutionary optimization Geographical dependent event pattern Controlled node placement MOEA Uniform event pattern
ISSN:	0929-6212, 1572-834X
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Abstract	The wide range of wireless sensor network applications has made it an interesting subject for many studies. One area of research is the controlled node placement in which the location of nodes is not random but predetermined. Controlled node placement can be very effective when either the price of the sensor nodes is high or the sensor coverage is of a specific type and it is necessary to provide special characteristics such as coverage, lifetime, reliability, delay, efficiency or other performance aspects of a wireless sensor network by using the minimum number of nodes. Since node placement algorithms are NP-Hard problems, and characteristics of a network are often in conflict with each other, the use of multi-objective evolutionary optimization algorithms in controlled node placement can be helpful. Previous research on node placement has assumed a uniform pattern of events, but this study shows if the pattern of events in the environment under investigation is geographically dependent, the results may lose their effectiveness drastically. In this study, a controlled node placement algorithm is proposed that aims to increase network lifetime and improve sensor coverage and radio communication, assuming that the event pattern is not uniform and has a geographical dependency. The proposed placement algorithm can be used for the initial placement or, for repairing a segmented network over time. In this study, multi-objective evolutionary optimization algorithms based on decomposition (MOEA/D) have been used, and the performance results have been compared with other node placement methods through simulation under different conditions.
AbstractList	The wide range of wireless sensor network applications has made it an interesting subject for many studies. One area of research is the controlled node placement in which the location of nodes is not random but predetermined. Controlled node placement can be very effective when either the price of the sensor nodes is high or the sensor coverage is of a specific type and it is necessary to provide special characteristics such as coverage, lifetime, reliability, delay, efficiency or other performance aspects of a wireless sensor network by using the minimum number of nodes. Since node placement algorithms are NP-Hard problems, and characteristics of a network are often in conflict with each other, the use of multi-objective evolutionary optimization algorithms in controlled node placement can be helpful. Previous research on node placement has assumed a uniform pattern of events, but this study shows if the pattern of events in the environment under investigation is geographically dependent, the results may lose their effectiveness drastically. In this study, a controlled node placement algorithm is proposed that aims to increase network lifetime and improve sensor coverage and radio communication, assuming that the event pattern is not uniform and has a geographical dependency. The proposed placement algorithm can be used for the initial placement or, for repairing a segmented network over time. In this study, multi-objective evolutionary optimization algorithms based on decomposition (MOEA/D) have been used, and the performance results have been compared with other node placement methods through simulation under different conditions.
Author	Mohtashami, Hossein Teshnehlab, Mohammad Movaghar, Ali
Author_xml	– sequence: 1 givenname: Hossein orcidid: 0000-0002-8970-3129 surname: Mohtashami fullname: Mohtashami, Hossein email: h.mohtashami@srbiau.ac.ir organization: Department of Computer Engineering, Science and Research Branch, Islamic Azad University – sequence: 2 givenname: Ali surname: Movaghar fullname: Movaghar, Ali organization: Department of Computer Engineering, Sharif University of Technology – sequence: 3 givenname: Mohammad surname: Teshnehlab fullname: Teshnehlab, Mohammad organization: Department of Electronic Engineering, K.N. Toosi University of Technology
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Cites_doi	10.1016/j.comnet.2008.02.028 10.1016/S1389-1286(01)00302-4 10.1109/COMST.2016.2610578 10.1016/j.asoc.2012.04.017 10.1155/2012/164641 10.1002/wcm.952 10.1016/j.comnet.2008.04.002 10.1016/j.comcom.2010.08.011 10.1016/j.cie.2016.08.028 10.1109/TEVC.2008.925798 10.1109/TMC.2003.1233530 10.1109/TEVC.2007.892759 10.1007/s11276-006-0724-8 10.1016/j.asoc.2011.02.031 10.1109/SURV.2011.040310.00002 10.1016/j.adhoc.2012.08.007 10.3390/s90705664 10.1016/j.engappai.2012.05.018 10.1109/TMC.2007.1009 10.1016/j.adhoc.2007.05.003 10.1016/j.comnet.2009.08.010 10.1007/s11277-017-4834-7 10.1016/j.adhoc.2015.12.003 10.1109/HICSS.2003.1174290
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Snippet	The wide range of wireless sensor network applications has made it an interesting subject for many studies. One area of research is the controlled node...
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SubjectTerms	Communications Engineering Computer Communication Networks Engineering Evolutionary algorithms Multiple objective analysis Network reliability Networks Nodes Optimization Optimization algorithms Placement Radio communications Reliability aspects Sensors Signal,Image and Speech Processing Wireless networks Wireless sensor networks
Title	Lifetime Improvement Based on Event Occurrence Patterns for Wireless Sensor Networks Using Multi-Objective Optimization
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