Optimized localization of sensor nodes in 3D WSNs using modified learning enthusiasm‐based teaching learning based optimization algorithm
Localization in wireless sensor networks (WSNs) is used to determine the coordinates of the sensor nodes deployed in the sensing field. It is the process that determines the location of the target nodes relative to the location of deployed anchor nodes. These anchor nodes are deployed at known locat...
Gespeichert in:
| Veröffentlicht in: | IET communications Jg. 15; H. 9; S. 1223 - 1239 |
|---|---|
| Hauptverfasser: | , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Stevenage
John Wiley & Sons, Inc
01.06.2021
Wiley |
| Schlagworte: | |
| ISSN: | 1751-8628, 1751-8636 |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| Abstract | Localization in wireless sensor networks (WSNs) is used to determine the coordinates of the sensor nodes deployed in the sensing field. It is the process that determines the location of the target nodes relative to the location of deployed anchor nodes. These anchor nodes are deployed at known locations having GPS installed in them. However, mostly in all 3D applications, the area under observation may have a complexity in the sensing environment. In this work, a modified learning enthusiasm‐based teaching learning based optimization algorithm (LebTLBO) is proposed to deal with the 3D localization problem using single anchor and moving target nodes in anisotropic network with DOI 0.01. LebTLBO is a metaheuristic inspired by the classroom teaching and learning method of teaching learning based optimization algorithm. An improved LebTLBO algorithm aims to achieve enhanced performance by balancing the exploration and exploitation capabilities of conventional LebTLBO to improve its global performance. On the CEC2019 benchmark functions, the suggested technique is assessed, and computational findings show that it provides promising outcomes over other competitive algorithms. Also, mLebTLBO outperforms well in terms of localization error in 3D environment. The proposed technique is useful to cope up in case of rescue operations. |
|---|---|
| AbstractList | Abstract Localization in wireless sensor networks (WSNs) is used to determine the coordinates of the sensor nodes deployed in the sensing field. It is the process that determines the location of the target nodes relative to the location of deployed anchor nodes. These anchor nodes are deployed at known locations having GPS installed in them. However, mostly in all 3D applications, the area under observation may have a complexity in the sensing environment. In this work, a modified learning enthusiasm‐based teaching learning based optimization algorithm (LebTLBO) is proposed to deal with the 3D localization problem using single anchor and moving target nodes in anisotropic network with DOI 0.01. LebTLBO is a metaheuristic inspired by the classroom teaching and learning method of teaching learning based optimization algorithm. An improved LebTLBO algorithm aims to achieve enhanced performance by balancing the exploration and exploitation capabilities of conventional LebTLBO to improve its global performance. On the CEC2019 benchmark functions, the suggested technique is assessed, and computational findings show that it provides promising outcomes over other competitive algorithms. Also, mLebTLBO outperforms well in terms of localization error in 3D environment. The proposed technique is useful to cope up in case of rescue operations. Localization in wireless sensor networks (WSNs) is used to determine the coordinates of the sensor nodes deployed in the sensing field. It is the process that determines the location of the target nodes relative to the location of deployed anchor nodes. These anchor nodes are deployed at known locations having GPS installed in them. However, mostly in all 3D applications, the area under observation may have a complexity in the sensing environment. In this work, a modified learning enthusiasm‐based teaching learning based optimization algorithm (LebTLBO) is proposed to deal with the 3D localization problem using single anchor and moving target nodes in anisotropic network with DOI 0.01. LebTLBO is a metaheuristic inspired by the classroom teaching and learning method of teaching learning based optimization algorithm. An improved LebTLBO algorithm aims to achieve enhanced performance by balancing the exploration and exploitation capabilities of conventional LebTLBO to improve its global performance. On the CEC2019 benchmark functions, the suggested technique is assessed, and computational findings show that it provides promising outcomes over other competitive algorithms. Also, mLebTLBO outperforms well in terms of localization error in 3D environment. The proposed technique is useful to cope up in case of rescue operations. |
| Author | Singh, Prabhjot Mittal, Nitin |
| Author_xml | – sequence: 1 givenname: Prabhjot surname: Singh fullname: Singh, Prabhjot organization: Chandigarh University – sequence: 2 givenname: Nitin surname: Mittal fullname: Mittal, Nitin email: mittal.nitin84@gmail.com organization: Chandigarh University |
| BookMark | eNp9UbtuFDEUtVCQ8oAmX2CJDmmDX2N7SrQ8EimQIokorTsez65XM_ZiexUlFT1NvpEvYWYHbYEQla17Xtc-p-goxOAQOqfkghJRv7PDjl1QRqvqBTqhqqILLbk8OtyZPkanOW8IqSopxAn6ebMtfvBPrsV9tND7Jyg-Bhw7nF3IMeEQW5exD5h_wN9uv2a8yz6s8BBb3_lJ5iCFaeJCWY8Y5OHXj-cG8ogVB3Y9YQfSPI9z6BwF_SomX9bDK_Sygz6713_OM3T_6ePd8nJxffP5avn-emGFYNVC24ZyArTVuhkfJxslgTElHbdatazhlQTBaCNp17RaURAcJCGq45x2sqP8DF3Nvm2EjdkmP0B6NBG82Q9iWhlIxdveGaUU4UQJqYEJxoS2qm1q4HLytVaOXm9mr22K33cuF7OJuxTG9Q0nNWM1FbweWW9nlk0x5-S6QyolZirOTMWZfXEjmfxFtr7sv6ok8P2_JXSWPPjePf7H3Cy_3LNZ8xuo4K53 |
| CitedBy_id | crossref_primary_10_1007_s11227_022_04320_x crossref_primary_10_3390_a16010011 crossref_primary_10_3390_app15073548 crossref_primary_10_1007_s11277_024_11402_x crossref_primary_10_3390_s25051366 |
| Cites_doi | 10.1109/TSMCC.2010.2054080 10.1109/ICL-GNSS.2012.6253135 10.1016/j.knosys.2015.12.022 10.1109/NABIC.2009.5393690 10.1109/ICCPCT.2016.7530341 10.1109/TVT.2010.2049391 10.1109/SCOReD.2013.7002637 10.1016/j.comnet.2008.04.002 10.1016/j.comnet.2006.11.018 10.1109/CEC.2001.934374 10.1109/WPNC.2009.4907835 10.1109/NaNA.2016.58 10.1109/ISIE.2008.4677205 10.1109/ICT.2016.7500369 10.12720/jcm.9.5.391-397 10.1109/CEC.2019.8789904 10.1109/ACCESS.2019.2907012 10.1049/cp:20080185 10.1016/j.ins.2011.08.006 10.1155/2018/1806947 10.1109/PDCAT.2008.73 10.1109/IDAACS.2011.6072891 10.1016/S1389-1286(01)00302-4 10.1007/s13369-017-2471-9 10.1109/TVT.2014.2311450 10.1109/TEVC.2008.2009457 10.1587/elex.6.167 10.1109/ICSMC.2009.5346107 10.1049/iet-com.2019.1311 10.1109/TPDS.2014.2320922 10.1109/CCDC.2015.7161879 10.1109/ICNC.2008.670 10.1007/978-3-642-32894-7_27 10.1109/ICCPEIC.2016.7557241 10.1016/j.advengsoft.2013.12.007 10.3390/s17071697 |
| ContentType | Journal Article |
| Copyright | 2021 The Authors. published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the "License"). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| Copyright_xml | – notice: 2021 The Authors. published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology – notice: 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the "License"). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| DBID | 24P AAYXX CITATION 8FE 8FG ABJCF AFKRA ARAPS BENPR BGLVJ CCPQU DWQXO HCIFZ L6V M7S P5Z P62 PHGZM PHGZT PKEHL PQEST PQGLB PQQKQ PQUKI PRINS PTHSS S0W DOA |
| DOI | 10.1049/cmu2.12155 |
| DatabaseName | Wiley Online Library Open Access CrossRef ProQuest SciTech Collection ProQuest Technology Collection Materials Science & Engineering Collection ProQuest Central UK/Ireland Advanced Technologies & Computer Science Collection ProQuest Central - New (Subscription) Technology collection ProQuest One Community College ProQuest Central SciTech Premium Collection ProQuest Engineering Collection Engineering Database Advanced Technologies & Aerospace Database ProQuest Advanced Technologies & Aerospace Collection ProQuest Databases ProQuest One Academic ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition ProQuest Central China Engineering Collection DELNET Engineering & Technology Collection DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef Advanced Technologies & Aerospace Collection Engineering Database Technology Collection ProQuest One Academic Middle East (New) ProQuest Advanced Technologies & Aerospace Collection ProQuest One Academic Eastern Edition SciTech Premium Collection ProQuest One Community College ProQuest Technology Collection ProQuest SciTech Collection ProQuest Central China ProQuest Central Advanced Technologies & Aerospace Database ProQuest One Applied & Life Sciences ProQuest Engineering Collection ProQuest One Academic UKI Edition ProQuest Central Korea ProQuest DELNET Engineering and Technology Collection Materials Science & Engineering Collection ProQuest Central (New) ProQuest One Academic ProQuest One Academic (New) Engineering Collection |
| DatabaseTitleList | CrossRef Advanced Technologies & Aerospace Collection |
| Database_xml | – sequence: 1 dbid: 24P name: Wiley Online Library Open Access url: https://authorservices.wiley.com/open-science/open-access/browse-journals.html sourceTypes: Publisher – sequence: 2 dbid: DOA name: DOAJ Directory of Open Access Journals url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 3 dbid: P5Z name: Advanced Technologies & Aerospace Database url: https://search.proquest.com/hightechjournals sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1751-8636 |
| EndPage | 1239 |
| ExternalDocumentID | oai_doaj_org_article_7770307468a242248c7db9a36871acc6 10_1049_cmu2_12155 CMU212155 |
| Genre | article |
| GroupedDBID | .DC 0R~ 0ZK 1OC 24P 29I 2QL 4.4 4IJ 5GY 6IK 6OB 8FE 8FG 8VB 96U AAHHS AAHJG AAJGR ABJCF ABQXS ACCFJ ACCMX ACESK ACGFO ACGFS ACIWK ACXQS ADEYR AEEZP AEGXH AENEX AEQDE AFAZI AFKRA AIAGR AIWBW AJBDE ALMA_UNASSIGNED_HOLDINGS ALUQN ARAPS AVUZU BENPR BGLVJ CCPQU CS3 DU5 EBS EJD ESX F8P GOZPB GROUPED_DOAJ GRPMH HCIFZ HZ~ IAO IFIPE IPLJI ITC JAVBF K1G L6V LAI M43 M7S MCNEO MS~ NADUK NXXTH O9- OCL OK1 P62 PTHSS QWB RIE RNS ROL RUI S0W U5U UNMZH ZL0 ~ZZ AAMMB AAYXX AEFGJ AFFHD AGXDD AIDQK AIDYY CITATION IDLOA PHGZM PHGZT PQGLB WIN DWQXO PKEHL PQEST PQQKQ PQUKI PRINS |
| ID | FETCH-LOGICAL-c4425-8cb130a1d88b6366b76a2276e3c87d2b356a421b61fbd871a43a6007f331f6f13 |
| IEDL.DBID | DOA |
| ISICitedReferencesCount | 7 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000627406200001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1751-8628 |
| IngestDate | Fri Oct 03 12:53:25 EDT 2025 Wed Aug 13 03:44:17 EDT 2025 Wed Oct 29 21:25:49 EDT 2025 Tue Nov 18 22:28:05 EST 2025 Wed Jan 22 16:30:23 EST 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 9 |
| Language | English |
| License | Attribution |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c4425-8cb130a1d88b6366b76a2276e3c87d2b356a421b61fbd871a43a6007f331f6f13 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| OpenAccessLink | https://doaj.org/article/7770307468a242248c7db9a36871acc6 |
| PQID | 3092291439 |
| PQPubID | 1936360 |
| PageCount | 17 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_7770307468a242248c7db9a36871acc6 proquest_journals_3092291439 crossref_primary_10_1049_cmu2_12155 crossref_citationtrail_10_1049_cmu2_12155 wiley_primary_10_1049_cmu2_12155_CMU212155 |
| PublicationCentury | 2000 |
| PublicationDate | June 2021 |
| PublicationDateYYYYMMDD | 2021-06-01 |
| PublicationDate_xml | – month: 06 year: 2021 text: June 2021 |
| PublicationDecade | 2020 |
| PublicationPlace | Stevenage |
| PublicationPlace_xml | – name: Stevenage |
| PublicationTitle | IET communications |
| PublicationYear | 2021 |
| Publisher | John Wiley & Sons, Inc Wiley |
| Publisher_xml | – name: John Wiley & Sons, Inc – name: Wiley |
| References | 2002; 38 2012; 183 2019; 7 2017; 42 2010; 59 2012 2011 2015; 11 2009 2008 2014; 69 2016; 96 2020; 14 2008; 52 2007; 51 2003 2014; 63 2015; 26 2009; 13 2018; 2018 2001 2017; 17 2011; 41 2019 2016 2015 2009; 6 2013 2014; 9 2012; 8 e_1_2_8_29_1 e_1_2_8_24_1 e_1_2_8_25_1 e_1_2_8_26_1 e_1_2_8_3_1 e_1_2_8_2_1 e_1_2_8_5_1 e_1_2_8_4_1 e_1_2_8_7_1 e_1_2_8_6_1 e_1_2_8_9_1 e_1_2_8_8_1 e_1_2_8_20_1 Wang L. (e_1_2_8_27_1) 2012; 8 e_1_2_8_43_1 e_1_2_8_21_1 e_1_2_8_42_1 e_1_2_8_22_1 e_1_2_8_23_1 Xu Y. (e_1_2_8_28_1) 2015; 11 e_1_2_8_41_1 e_1_2_8_40_1 e_1_2_8_17_1 e_1_2_8_18_1 e_1_2_8_39_1 e_1_2_8_19_1 e_1_2_8_13_1 e_1_2_8_36_1 e_1_2_8_14_1 e_1_2_8_35_1 e_1_2_8_15_1 e_1_2_8_38_1 e_1_2_8_16_1 e_1_2_8_37_1 e_1_2_8_32_1 e_1_2_8_10_1 e_1_2_8_31_1 e_1_2_8_11_1 e_1_2_8_34_1 e_1_2_8_12_1 e_1_2_8_33_1 e_1_2_8_30_1 |
| References_xml | – start-page: 1 year: 2015 end-page: 5 article-title: Firefly algorithm optimization based WSN localization algorithm – start-page: 286 year: 2008 end-page: 290 article-title: Optimization of sensor node locations in a wireless sensor network – start-page: 95 year: 2016 end-page: 98 article-title: Improved node localization for WSN using heuristic optimization approaches – start-page: 848 year: 2011 end-page: 52 article-title: RSS‐based location estimation in mobility assisted wireless sensor networks – start-page: 1820 year: 2008 end-page: 1825 article-title: A particle swarm optimization approach for the localization of a wireless sensor network – start-page: 80 year: 2003 end-page: 87 article-title: Bare bones particle swarms – volume: 7 start-page: 43473 year: 2019 end-page: 43486 article-title: Fitness dependent optimizer: Inspired by the bee swarming reproductive process publication-title: IEEE Access – volume: 13 start-page: 526 issue: 3 year: 2009 end-page: 553 article-title: Differential evolution using a neighborhood‐based mutation operator publication-title: IEEE Trans. Evol. Comput. – volume: 183 start-page: 1 year: 2012 end-page: 15 article-title: Teaching‐learning‐based optimization: An optimization method for continuous non‐linear large‐scale problems publication-title: Inf. Sci. – volume: 96 start-page: 120 year: 2016 end-page: 133 article-title: SCA: A sine cosine algorithm for solving optimization problems publication-title: Knowledge‐Based Syst. – start-page: 253 year: 2009 end-page: 9 article-title: Wireless node localization based on rssi using a rotating antenna on a mobile robot – volume: 59 start-page: 3501 issue: 7 year: 2010 end-page: 3509 article-title: Perpendicular intersection: Locating wireless sensors with mobile beacon publication-title: IEEE Trans. Veh. Technol. – volume: 26 start-page: 1301 issue: 5 year: 2015 end-page: 1312 article-title: Efficient data query in intermittently‐connected mobile Ad hoc social networks publication-title: IEEE Trans. Parallel Distrib. Syst. – volume: 41 start-page: 262 issue: 2 year: 2011 end-page: 267 article-title: Particle swarm optimization in wireless‐sensor networks: A brief survey publication-title: IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. – start-page: 485 year: 2013 end-page: 490 article-title: A summary survey on recent applications of wireless sensor networks – start-page: 1 year: 2016 end-page: 6 article-title: QoS based Multipath Routing for Intrusion Detection of Sinkhole Attack in Wireless Sensor Networks – start-page: 81 year: 2001 end-page: 86 article-title: Particle swarm optimization: Developments, applications and resources – volume: 52 start-page: 2292 year: 2008 end-page: 2230 article-title: Wireless sensor network survey publication-title: J. Comput. Networks – volume: 11 start-page: 1 issue: 6 year: 2015 end-page: 9 article-title: An improved 3D localization algorithm for the wireless sensor network publication-title: Int. J. Distrib. Sens. Networks – volume: 42 start-page: 3325 year: 2017 end-page: 3335 article-title: Node localization in wireless sensor networks using butterfly optimization algorithm publication-title: Arab J. Sci. Eng. – start-page: 5968 year: 2015 end-page: 5971 article-title: Node self‐localization algorithm for wireless sensor networks based on modified particle swarm optimization – start-page: 205 year: 2009 end-page: 210 article-title: Bio‐inspired node localization in wireless sensor networks – start-page: 210 year: 2009 end-page: 214 article-title: Cuckoo search via Lévy flights – volume: 63 start-page: 4574 issue: 9 year: 2014 end-page: 4584 article-title: Efficient quality‐of‐service (QoS) support in mobile opportunistic networks publication-title: IEEE Trans. Veh. Technol. – start-page: 1 year: 2012 end-page: 7 article-title: Meta‐heuristic range‐based node localization algorithm for wireless sensor networks – volume: 41 start-page: 262 issue: 2 year: 2011 end-page: 267 article-title: Particle swarm optimization inwireless‐sensor networks: A brief survey publication-title: IEEE Trans. Syst. Man Cybern. Part C Appl. Rev. – start-page: 1 year: 2016 end-page: 7 article-title: Synchronization protocol for dynamic environment: Design and prototype experiments – start-page: 187 year: 2008 end-page: 194 article-title: An effective PSO‐based node localization scheme for wireless sensor networks – volume: 8 start-page: 2463 issue: 6 year: 2012 end-page: 2475 article-title: A new 3‐dimensional dv‐hop localization algorithm publication-title: J. Comput. Inf. Syst. – volume: 9 start-page: 391 issue: 5 year: 2014 end-page: 397 article-title: Three‐dimensional node localization algorithm for wsn based on differential rss irregular transmission model publication-title: J. Commun. – volume: 6 start-page: 167 issue: 3 year: 2009 end-page: 172 article-title: A 3d node localization scheme for wireless sensor networks publication-title: IEICE Electron Exp. – start-page: 19 year: 2019 end-page: 26 article-title: The 100‐Digit Challenge: Algorithm jDE100 – start-page: 159 year: 2016 end-page: 164 article-title: Optimization of delay of data delivery in wireless sensor network using genetic algorithm – volume: 14 start-page: 1975 issue: 12 year: 2020 end-page: 1991 article-title: An efficient localization approach for WSNs using hybrid DA‐FA algorithm publication-title: IET Commun. – start-page: 227 year: 2008 end-page: 230 article-title: Localization in wireless sensor networks using particle swarm optimization – volume: 51 start-page: 2529 year: 2007 end-page: 2553 article-title: Wireless sensor network localization techniques publication-title: J. Comput. Networks – start-page: 240 year: 2012 end-page: 249 – volume: 69 start-page: 46 year: 2014 end-page: 61 article-title: Grey wolf optimizer publication-title: Adv. Eng. Software – volume: 38 start-page: 393 year: 2002 end-page: 422 article-title: Wireless sensor networks: A survey publication-title: J. Comput. Networks – volume: 2018 year: 2018 article-title: Teaching‐learning‐based optimization with learning enthusiasm mechanism and its application in chemical engineering publication-title: J. Appl. Math. – volume: 17 start-page: 1697 issue: 7 year: 2017 article-title: Parametric loop division for 3d localization in wireless sensor networks publication-title: Sensors – ident: e_1_2_8_34_1 doi: 10.1109/TSMCC.2010.2054080 – ident: e_1_2_8_35_1 doi: 10.1109/ICL-GNSS.2012.6253135 – ident: e_1_2_8_42_1 doi: 10.1016/j.knosys.2015.12.022 – ident: e_1_2_8_11_1 – ident: e_1_2_8_40_1 doi: 10.1109/NABIC.2009.5393690 – ident: e_1_2_8_7_1 doi: 10.1109/ICCPCT.2016.7530341 – ident: e_1_2_8_25_1 doi: 10.1109/TVT.2010.2049391 – volume: 8 start-page: 2463 issue: 6 year: 2012 ident: e_1_2_8_27_1 article-title: A new 3‐dimensional dv‐hop localization algorithm publication-title: J. Comput. Inf. Syst. – ident: e_1_2_8_2_1 doi: 10.1109/SCOReD.2013.7002637 – ident: e_1_2_8_5_1 doi: 10.1016/j.comnet.2008.04.002 – ident: e_1_2_8_33_1 – ident: e_1_2_8_12_1 doi: 10.1016/j.comnet.2006.11.018 – ident: e_1_2_8_22_1 doi: 10.1109/CEC.2001.934374 – ident: e_1_2_8_23_1 doi: 10.1109/WPNC.2009.4907835 – ident: e_1_2_8_9_1 doi: 10.1109/NaNA.2016.58 – ident: e_1_2_8_20_1 doi: 10.1109/ISIE.2008.4677205 – ident: e_1_2_8_6_1 doi: 10.1109/ICT.2016.7500369 – ident: e_1_2_8_29_1 doi: 10.12720/jcm.9.5.391-397 – ident: e_1_2_8_38_1 doi: 10.1109/CEC.2019.8789904 – ident: e_1_2_8_41_1 doi: 10.1109/ACCESS.2019.2907012 – ident: e_1_2_8_31_1 doi: 10.1049/cp:20080185 – ident: e_1_2_8_37_1 doi: 10.1016/j.ins.2011.08.006 – ident: e_1_2_8_13_1 doi: 10.1155/2018/1806947 – ident: e_1_2_8_32_1 doi: 10.1109/PDCAT.2008.73 – ident: e_1_2_8_24_1 doi: 10.1109/IDAACS.2011.6072891 – ident: e_1_2_8_4_1 doi: 10.1016/S1389-1286(01)00302-4 – ident: e_1_2_8_36_1 doi: 10.1007/s13369-017-2471-9 – ident: e_1_2_8_16_1 doi: 10.1109/TVT.2014.2311450 – ident: e_1_2_8_15_1 doi: 10.1109/TEVC.2008.2009457 – ident: e_1_2_8_26_1 doi: 10.1587/elex.6.167 – ident: e_1_2_8_19_1 doi: 10.1109/ICSMC.2009.5346107 – ident: e_1_2_8_43_1 doi: 10.1049/iet-com.2019.1311 – ident: e_1_2_8_17_1 doi: 10.1109/TPDS.2014.2320922 – ident: e_1_2_8_10_1 doi: 10.1109/CCDC.2015.7161879 – ident: e_1_2_8_21_1 doi: 10.1109/ICNC.2008.670 – ident: e_1_2_8_18_1 doi: 10.1049/cp:20080185 – volume: 11 start-page: 1 issue: 6 year: 2015 ident: e_1_2_8_28_1 article-title: An improved 3D localization algorithm for the wireless sensor network publication-title: Int. J. Distrib. Sens. Networks – ident: e_1_2_8_39_1 doi: 10.1007/978-3-642-32894-7_27 – ident: e_1_2_8_8_1 doi: 10.1109/ICCPEIC.2016.7557241 – ident: e_1_2_8_3_1 doi: 10.1109/TSMCC.2010.2054080 – ident: e_1_2_8_14_1 doi: 10.1016/j.advengsoft.2013.12.007 – ident: e_1_2_8_30_1 doi: 10.3390/s17071697 |
| SSID | ssj0055644 |
| Score | 2.319699 |
| Snippet | Localization in wireless sensor networks (WSNs) is used to determine the coordinates of the sensor nodes deployed in the sensing field. It is the process that... Abstract Localization in wireless sensor networks (WSNs) is used to determine the coordinates of the sensor nodes deployed in the sensing field. It is the... |
| SourceID | doaj proquest crossref wiley |
| SourceType | Open Website Aggregation Database Enrichment Source Index Database Publisher |
| StartPage | 1223 |
| SubjectTerms | Algorithms Heuristic methods Literature reviews Localization Machine learning Moving targets Nodes Optimisation techniques Optimization Performance enhancement Performance evaluation Rescue operations Sensors Teaching Wireless networks Wireless sensor networks |
| SummonAdditionalLinks | – databaseName: Engineering Database dbid: M7S link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Jb9UwELagcIBDWSteKcgSXECyWi_xckJQqDjAA6lU9BZ5fY3UJOXllQMn7lz4jfwSbMfpIqFeuEXOJHY0Y3_j8eQbAJ5HiPCYWo-I0BIxjD1SlSDIc8NtUBZXPvPMfhDzuTw8VJ9LwG0oaZXTmpgXatfbFCPfpjuKEBXRXb06-YZS1ah0ulpKaFwHNxJLAs6pe_vTSlxVPBdzjQiJUfTc5URPytS2bU9JZlaoLgFS5u2_5GxedFkz5uzd-d_R3gXrxduEr0fzuAeu-e4-uH2Bg_AB-PUpLhpt88M7mHGt_JcJ-wCHuMXtl7DrnR9g00H6Fn7dnw8w5covYNu7JjTpsRJdgRG_juI9PbR_fv5O8OjgqiRrnguN7f3Y6diVPl7Esa-O2ofgYO_dl933qFRoQJbFyY6kNREDNXZSGk45N4JrQgT31ErhiKEV14xgw3EwLm7NNKM6EeIHSnHgAdMNsNb1nX8EoNRx64I98ZUwzBlrguY6GpGyYUeY4GfgxaSm2hb68lRF47jOx-hM1UmldVbpDDw7kz0ZSTv-KfUmaftMIhFt54Z-uajLvK2FyIxpjEsdnRnCpBXOKE15-hpr-QxsTQZQl9k_1Ofan4GX2X6uGEa9-_GA5KvNq9_1GNwiKaEmh4C2wNpqeeqfgJv2-6oZlk-z5f8FJHQNxw priority: 102 providerName: ProQuest – databaseName: Wiley Online Library Open Access dbid: 24P link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwELZK4QAH3hXbFmQJLiBF1I_4IXGBQsUBlkpQ0Zvl5zZSk6Bky6En7r30N_JLajvJtpUQEuIWOWPZsWf8jSf2NwC8iBDhEbG-wFyLgiLkC1lyXHhmmA3SotJnntlPfD4Xh4dyfw28me7CDPwQq4Bbsoy8XicD12bIQhKd2jiJtj7BmRuhvAFuIkR40mlM96d1uCxZTuUa8REV0W8XEzkpla8v616Do8zaf83VvOqwZsTZu_d_fb0P7o6eJnw7qMYDsOabh-DOFf7BR-DsS1ww6urUO5gxbbyTCdsA-7i9bTvYtM73sGogeQ-_f533MJ2TX8C6dVWoUrUxsgIjdh3Fd7qvf_86T9Do4HI8qHkpNJS3Q6NDU_p40XbV8qh-DA72Pnzb_ViM2RkKS6OhF8KaiH8aOSEMI4wZzjTGnHliBXfYkJJpipFhKBgXt2WaEp3I8AMhKLCAyAZYb9rGPwFQ6LhtQR77khvqjDVBMx0VSNqww03wM_BymiRlR-rylEHjWOVf6FSqNMAqD_AMPF_J_hgIO_4o9S7N9UoikWzngrZbqNFmFeeZLY0yoaMjg6mw3BmpCUtfYy2bge1JU9Ro-b0iOxJjGb1QOQOvsk78pRtq9_MBzk-b_yK8BW7jdLQmB4O2wfqyO_FPwS37c1n13bNsBRfNYQvi priority: 102 providerName: Wiley-Blackwell |
| Title | Optimized localization of sensor nodes in 3D WSNs using modified learning enthusiasm‐based teaching learning based optimization algorithm |
| URI | https://onlinelibrary.wiley.com/doi/abs/10.1049%2Fcmu2.12155 https://www.proquest.com/docview/3092291439 https://doaj.org/article/7770307468a242248c7db9a36871acc6 |
| Volume | 15 |
| WOSCitedRecordID | wos000627406200001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAON databaseName: DOAJ Directory of Open Access Journals customDbUrl: eissn: 1751-8636 dateEnd: 20241231 omitProxy: false ssIdentifier: ssj0055644 issn: 1751-8628 databaseCode: DOA dateStart: 20210101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVPQU databaseName: Advanced Technologies & Aerospace Database customDbUrl: eissn: 1751-8636 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0055644 issn: 1751-8628 databaseCode: P5Z dateStart: 20210101 isFulltext: true titleUrlDefault: https://search.proquest.com/hightechjournals providerName: ProQuest – providerCode: PRVPQU databaseName: Engineering Database customDbUrl: eissn: 1751-8636 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0055644 issn: 1751-8628 databaseCode: M7S dateStart: 20210101 isFulltext: true titleUrlDefault: http://search.proquest.com providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 1751-8636 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0055644 issn: 1751-8628 databaseCode: BENPR dateStart: 20210101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVWIB databaseName: Wiley Online Library Free Content customDbUrl: eissn: 1751-8636 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0055644 issn: 1751-8628 databaseCode: WIN dateStart: 20130101 isFulltext: true titleUrlDefault: https://onlinelibrary.wiley.com providerName: Wiley-Blackwell – providerCode: PRVWIB databaseName: Wiley Online Library Open Access customDbUrl: eissn: 1751-8636 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0055644 issn: 1751-8628 databaseCode: 24P dateStart: 20130101 isFulltext: true titleUrlDefault: https://authorservices.wiley.com/open-science/open-access/browse-journals.html providerName: Wiley-Blackwell |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1Lb9QwELagcIAD4imWlpUluIAUdf2IH0daWoEEYUWpWnGx_GwjNQnabHvgxJ0Lv5Ffgu1ky1ZCcOFiRc5EtjzjfDPO5BsAnkeI8IhYX2CuRUER8oUsOS48M8wGaVHpM8_sO15V4vhYztdKfaWcsIEeeFi4bc4zZRVlQkc0wVRY7ozUhEVPX1ubybZnXK6CqeEdXJYsl3GN2IiK6LOLFTEpldu2OceZU6G8AkWZsf-Km7nurGa02b8L7oxuInw1TO8euObb--D2GnngA_D9Q9ztTf3VO5gBafyhEnYB9jE27Raw7ZzvYd1C8hoeHVQ9TEnuJ7DpXB3q9Nh4LAIj8JzGe7pvfn77kXDNweWYZflbaOjvhkGHofTZSbeol6fNQ3C4v_dp900xllYoLI27tBDWRPDSyAlhGGHMcKYx5swTK7jDhpRMU4wMQ8G4tNKU6MRkHwhBgQVEHoGNtmv9YwCFjjEH8tiX3FBnrAma6ah9acOMm-An4MVqlZUdecdT-Yszlb9_U6mSRlTWyAQ8u5T9MrBt_FFqJynrUiIxZOeOaDdqtBv1L7uZgK2VqtW4bXtFZhJjGV1IOQEvs_r_Mg21-_4Q56sn_2NCm-AWTvky-YRnC2wsF-f-KbhpL5Z1v5iC65jOp-DGzl41_zjNxj5NeaoHsZ2Xn2N79Lb6BeiSA84 |
| linkProvider | Directory of Open Access Journals |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V3LbtQwFLVKQQIWvBEDBSwBC5Ci1nbixwIhaKladTogtRXduX5OI3WSMpmCYMWeDV_CR_El2E7Sh4S664Jd5Nw4iXN8H871uQA8DybCIWJchpniWY6Qy0TBcOaopsYLgwqXeGaHbDTiu7vi4xz43e-FiWmVvU5MitrWJq6RL5IlgbEI1l28OfycxapR8e9qX0KjhcWG-_Y1hGzN6_WV8H1fYLz6fnt5LeuqCmQmDwDNuNFBbytkOdeUUKoZVRgz6ojhzGJNCqpyjDRFXtsQTqicqEji7glBnnpEQr-XwOXgRmCRUgW3es1fFDQVjw0WGWUhUuA9HWouFs3kCCcmh-KMAUx1As44t6dd5GTjVm_-b6NzC9zovGn4toX_bTDnqjvg-imOxbvg54egFCfld2dhstvdvlNYe9iEEL6ewqq2roFlBckK_LQ1amDcCzCGk9qWvoyXdatHMNjn_XBONZM_P35F82_hrEtGPRFq2-v2pu2t1ME4jNVsf3IP7FzIaNwH81VduQcAchVCM-SwK5jOrTbaK6rCJBHGLzHt3QC87GEhTUfPHquEHMiUJpALGSEkE4QG4Nmx7GFLSvJPqXcRXccSkUg8NdTTsez0kmQsMcLllKvgrOGcG2a1UITGtzGGDsBCDzjZabdGnqBtAF4lvJ7zGHJ5cweno4fn9_UUXF3b3hzK4fpo4xG4hmPyUFruWgDzs-mRewyumC-zspk-SbMOgr2LBvJfFSZnvg |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V3LbtQwFLVKQQgWvBEDBSwBC5Ciqe3EjhcIQYcRVcswElRU3Rg_p5GapEymIFixZ8P38Dl8CbaT9CGh7rpgFzk3TuIc34dzfS4Aj72JsIhom2Am8yRFyCY8YzixVFHtuEaZjTyzm2wyybe3-XQJ_O73woS0yl4nRkVtah3WyIdklWPMvXXnQ9elRUxH4xf7n5NQQSr8ae3LabQQ2bDfvvrwrXm-PvLf-gnG49cf1t4kXYWBRKcerEmuldfhEpk8V5RQqhiVGDNqic6ZwYpkVKYYKYqcMj60kCmRgdDdEYIcdYj4fs-B88zHmCGdcJrt9FYgy2gsJOutM0p81JD31KgpH-ryAEdWh-yEMYw1A044usfd5Wjvxlf_55G6Bq50XjZ82U6L62DJVjfA5WPcizfBz3deWZbFd2tgtOfdflRYO9j40L6ew6o2toFFBckIfnw_aWDYIzCDZW0KV4TLulUl6O32rj8nm_LPj1_BLTBw0SWpHgm17XV70_ZWcm_mx2qxW94CW2cyGrfBclVX9g6AufQhG7LYZkylRmnlJJV-8nDtVplydgCe9hARuqNtD9VD9kRMH0i5CHASEU4D8OhQdr8lK_mn1KuAtEOJQDAeG-r5THT6SjAWmeJSmkvvxOE018woLgkNb6M1HYCVHnyi03qNOELeADyL2D3lMcTa2y0cj-6e3tdDcNHjV2yuTzbugUs45BTFVbAVsLyYH9j74IL-siia-YM4ASH4dNY4_guen3CX |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Optimized+localization+of+sensor+nodes+in+3D+WSNs+using+modified+learning+enthusiasm%E2%80%90based+teaching+learning+based+optimization+algorithm&rft.jtitle=IET+communications&rft.au=Prabhjot+Singh&rft.au=Nitin+Mittal&rft.date=2021-06-01&rft.pub=Wiley&rft.issn=1751-8628&rft.eissn=1751-8636&rft.volume=15&rft.issue=9&rft.spage=1223&rft.epage=1239&rft_id=info:doi/10.1049%2Fcmu2.12155&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_7770307468a242248c7db9a36871acc6 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1751-8628&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1751-8628&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1751-8628&client=summon |