Minimising number of sensors in wireless sensor networks for structure health monitoring systems
Sensor placement optimisation is an important problem in the field of structural health monitoring (SHM). Many researchers solve this problem by focusing only on the network requirements, without considering the civil engineering requirements. However, there are researchers that optimise the sensor...
Uloženo v:
| Vydáno v: | IET wireless sensor systems Ročník 9; číslo 2; s. 94 - 101 |
|---|---|
| Hlavní autoři: | , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
The Institution of Engineering and Technology
01.04.2019
|
| Témata: | |
| ISSN: | 2043-6386, 2043-6394, 2043-6394 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| Abstract | Sensor placement optimisation is an important problem in the field of structural health monitoring (SHM). Many researchers solve this problem by focusing only on the network requirements, without considering the civil engineering requirements. However, there are researchers that optimise the sensor placement considering network and civil requirements. Unfortunately, those researchers did not address minimising the number of sensors. As a result, in this research we study the problem of minimising the number of sensors for SHM in wireless sensors networks satisfying both civil and network requirements. The authors’ contribution in this work is showing the mathematical model of the mentioned problem. Then, solve the problem using different methods: exhaustive search, genetic algorithm (GA), and a numerical iterative algorithm that applies binary search (BS). The problem is solved using different number of sensors as well as different placements in many conducted experiments. The obtained results showed that minimising the number of sensors becomes more significant with big structures. Furthermore, the BS algorithm is the best to use to solve the problem for small buildings. However, for larger buildings, there is a trade-off between the performance, and time complexity, where the BS gives optimal solution, but GA gives better time execution. |
|---|---|
| AbstractList | Sensor placement optimisation is an important problem in the field of structural health monitoring (SHM). Many researchers solve this problem by focusing only on the network requirements, without considering the civil engineering requirements. However, there are researchers that optimise the sensor placement considering network and civil requirements. Unfortunately, those researchers did not address minimising the number of sensors. As a result, in this research we study the problem of minimising the number of sensors for SHM in wireless sensors networks satisfying both civil and network requirements. The authors’ contribution in this work is showing the mathematical model of the mentioned problem. Then, solve the problem using different methods: exhaustive search, genetic algorithm (GA), and a numerical iterative algorithm that applies binary search (BS). The problem is solved using different number of sensors as well as different placements in many conducted experiments. The obtained results showed that minimising the number of sensors becomes more significant with big structures. Furthermore, the BS algorithm is the best to use to solve the problem for small buildings. However, for larger buildings, there is a trade‐off between the performance, and time complexity, where the BS gives optimal solution, but GA gives better time execution. |
| Author | Elfouly, Tarek Mohamed El-Qawasma, Farah AbdelMutaleb Ahmed, Mohamed Hossam |
| Author_xml | – sequence: 1 givenname: Farah AbdelMutaleb surname: El-Qawasma fullname: El-Qawasma, Farah AbdelMutaleb organization: 1Computer and Science Department, Qatar University, P.O. Box 2713, Doha, Qatar – sequence: 2 givenname: Tarek Mohamed surname: Elfouly fullname: Elfouly, Tarek Mohamed email: tarekfouly@qu.edu.qa organization: 1Computer and Science Department, Qatar University, P.O. Box 2713, Doha, Qatar – sequence: 3 givenname: Mohamed Hossam surname: Ahmed fullname: Ahmed, Mohamed Hossam organization: 2Department of Electrical Engineering and Computer Engineering, Memorial University of Newfoundland, St. John's, NL A1C 5S7, Canada |
| BookMark | eNqFkE1OwzAQRi1UJErpAdj5Ail2YueHHVQUkIpYFMTSOIlNXRIbeRxFvT2JiliwKLPxjOX3jfXO0cQ6qxC6pGRBCSuujApRD7CICc0XnCT0BE1jwpIoTQo2-e3z9AzNAXZkKJaSnCZT9P5krGkNGPuBbdeWymOnMSgLzgM2FvfGq0YB_Nxhq0Lv_CdgPQwQfFeFziu8VbIJW9w6a4LzYxrsIagWLtCplg2o-c85Q6-ru5flQ7R-vn9c3qyjKskyFuUk45ylUhapylklKS85IyVXwySzmpcJ0SzXZcELmde81nGcybpKE12WeS1ZMkPZIbfyDsArLSoTZDDOBi9NIygRoysxuBKDKzG6EqOrgaR_yC9vWun3R5nrA9ObRu3_B8TbZhPfrgiJ4_Gr0QEen-1c5-0g5siyb64olVE |
| CitedBy_id | crossref_primary_10_3390_buildings14030856 crossref_primary_10_1049_iet_com_2019_1298 |
| Cites_doi | 10.4108/icst.bodynets.2013.253720 10.1016/j.proeng.2017.09.115 10.1145/990064.990096 10.1109/ICTEL.2010.5478798 10.1117/12.2009754 10.1115/1.1828056 10.1109/IWCMC.2015.7289147 10.1016/j.comcom.2018.02.012 10.2514/3.11868 10.1016/j.jsv.2018.01.047 10.1109/EUROCON.2013.6624997 10.1109/MILCOM.2005.1605825 10.1109/WCNC.2003.1200627 10.5539/cis.v4n2p39 10.1109/ICNC.2013.6817963 10.1016/j.adhoc.2014.08.017 10.1061/(ASCE)BE.1943-5592.0000735 10.1016/j.jnca.2012.05.006 10.1109/INFCOM.2010.5462159 10.1016/j.engstruct.2005.03.015 10.1145/1031495.1031498 10.1155/2013/481580 10.1109/VETECS.2010.5494174 10.1088/0964-1726/13/3/011 10.1109/2.294849 10.1088/0964-1726/24/12/125034 10.1007/s10922-017-9415-2 10.1016/j.proeng.2017.09.439 10.1109/JSEN.2016.2554462 10.1016/j.comcom.2012.08.021 10.3390/ecsa-1-d008 10.1155/2011/395101 10.1016/j.engappai.2012.05.018 |
| ContentType | Journal Article |
| Copyright | The Institution of Engineering and Technology 2021 The Institution of Engineering and Technology |
| Copyright_xml | – notice: The Institution of Engineering and Technology – notice: 2021 The Institution of Engineering and Technology |
| DBID | AAYXX CITATION |
| DOI | 10.1049/iet-wss.2018.5031 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | CrossRef |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 2043-6394 |
| EndPage | 101 |
| ExternalDocumentID | 10_1049_iet_wss_2018_5031 WSS2BF00224 |
| Genre | article |
| GrantInformation_xml | – fundername: Qatar National Research Fund grantid: NPRP 06-150-2-059 – fundername: Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada grantid: 2014-03638 – fundername: Qatar National Research Fund funderid: NPRP 06-150-2-059 |
| GroupedDBID | 0R 24P 4.4 6IK 8FE 8FG AAJGR ABJCF ACGFS ACIWK AFKRA ALMA_UNASSIGNED_HOLDINGS ARAPS BENPR BFFAM BGLVJ EBS EJD HCIFZ HZ IFIPE IPLJI JAVBF K6V K7- L6V M43 M7S O9- OCL P62 PTHSS RIE RNS RUI UNR .DC 0R~ 1OC AAMMB ACCMX AEFGJ AGXDD AIDQK AIDYY ALUQN CCPQU GROUPED_DOAJ HZ~ IAO IDLOA ITC MCNEO OK1 PHGZM PHGZT PQGLB PUEGO WIN AAYXX AFFHD CITATION |
| ID | FETCH-LOGICAL-c3774-8075546aa96e84ca15b540b5ee84a7d5b30f48fb959a8d5df227adc63fbb8da43 |
| IEDL.DBID | 24P |
| ISICitedReferencesCount | 4 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000462870000006&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 2043-6386 2043-6394 |
| IngestDate | Wed Oct 29 21:24:16 EDT 2025 Tue Nov 18 22:00:25 EST 2025 Tue Sep 09 05:09:52 EDT 2025 Tue Jan 05 21:50:07 EST 2021 |
| IsDoiOpenAccess | false |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 2 |
| Keywords | iterative methods structural engineering wireless sensor networks numerical iterative algorithm exhaustive search method time complexity structural health monitoring genetic algorithms mathematical analysis structure health monitoring systems civil network requirements genetic algorithm BS algorithm binary search algorithm sensor placement optimisation mathematical model SHM condition monitoring GA minimisation civil engineering requirements energy consumption search problems |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c3774-8075546aa96e84ca15b540b5ee84a7d5b30f48fb959a8d5df227adc63fbb8da43 |
| OpenAccessLink | https://ietresearch.onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-wss.2018.5031 |
| PageCount | 8 |
| ParticipantIDs | wiley_primary_10_1049_iet_wss_2018_5031_WSS2BF00224 crossref_citationtrail_10_1049_iet_wss_2018_5031 crossref_primary_10_1049_iet_wss_2018_5031 iet_journals_10_1049_iet_wss_2018_5031 |
| ProviderPackageCode | RUI |
| PublicationCentury | 2000 |
| PublicationDate | 20190400 April 2019 2019-04-00 |
| PublicationDateYYYYMMDD | 2019-04-01 |
| PublicationDate_xml | – month: 4 year: 2019 text: 20190400 |
| PublicationDecade | 2010 |
| PublicationTitle | IET wireless sensor systems |
| PublicationYear | 2019 |
| Publisher | The Institution of Engineering and Technology |
| Publisher_xml | – name: The Institution of Engineering and Technology |
| References | Barontini, A.; Masciotta, M.G.; Ramos, L.F. (C4) 2017; 199 Meo, M.; Zumpano, G. (C26) 2005; 27 Camelio, J.A.; Hu, S.J.; Yim, H. (C29) 2005; 127 Al-Turjman, F. (C12) 2018; 26 Guo, H.Y.; Zhang, L.; Zhang, L.L. (C33) 2004; 13 Al-Turjman, F.M.; Hassanein, H.S.; Ibnkahla, M. (C14) 2015; 24 Malhotra, R.; Singh, N.; Singh, Y. (C43) 2011; 4 Al-Turjman, F.M.; Hassanein, H.S.; Ibnkahla, M. (C13) 2013; 36 Fan, G.; Jin, S.; Processing, D. (C22) 2010; 5 Aggarwal, S.; Garg, R.; Goswami, P. (C46) 2014; 4 Al-Turjman, F.M.; Hassanein, H.S.; Ibnkahla, M.A. (C15) 2013; 36 He, C.; Xing, J.; Li, J. (C34) 2013; 2013 Capellari, G.; Chatzi, E.; Mariani, S. (C20) 2017; 199 Sun, H.; Büyüköztürk, O. (C18) 2015; 24 Yi, T.-H.; Li, H.-N.; Gu, M. (C17) 2011; 2011 Movva, G.; Wan, Y.; Fu, S. (C9) 2013; 8694 Bakir, P.G. (C28) 2011; 16 Yao, L.; Sethares, W.A.; Kammer, D.C. (C32) 1993; 31 Al-Turjman, F. (C3) 2018; 121 Sengupta, S.; Das, S.; Nasir, M.D. (C11) 2013; 26 Srinivas, M.; Patnaik, L.M. (C47) 1994; 27 Webb, G.T.; Vardanega, P.J.; Middleton, C.R. (C25) 2015; 20 Elsersy, M. (C35) 2016; 16 Lin, J.F.; Xu, Y.L.; Law, S.S. (C19) 2018; 422 2018; 121 2013; 26 2011 2010 2018; 422 2009 1998 2013; 8694 2008 2005 1994 1994; 27 2004 2003 2017; 199 2011; 4 2005; 27 2011; 16 2016; 16 2018; 26 2015; 24 2011; 2011 2013; 36 2014; 4 2013; 2013 2015; 20 2005; 127 1993; 31 2004; 13 2016 2015 2014 2013 2010; 5 e_1_2_9_31_1 Neapolitan R. (e_1_2_9_40_1) 2011 e_1_2_9_50_1 e_1_2_9_10_1 e_1_2_9_35_1 e_1_2_9_12_1 e_1_2_9_33_1 Linden G.W. (e_1_2_9_28_1) 2011 e_1_2_9_14_1 e_1_2_9_16_1 e_1_2_9_37_1 e_1_2_9_18_1 e_1_2_9_20_1 e_1_2_9_45_1 e_1_2_9_24_1 e_1_2_9_43_1 e_1_2_9_8_1 e_1_2_9_6_1 e_1_2_9_4_1 e_1_2_9_2_1 Fan G. (e_1_2_9_23_1) 2010; 5 e_1_2_9_26_1 e_1_2_9_49_1 e_1_2_9_30_1 Alqawasma F.A. (e_1_2_9_46_1) 2016 e_1_2_9_11_1 e_1_2_9_34_1 e_1_2_9_13_1 e_1_2_9_32_1 Alsuwaiyel M.H. (e_1_2_9_39_1) 2016 Preiss B.R. (e_1_2_9_38_1) 2008 e_1_2_9_15_1 e_1_2_9_17_1 e_1_2_9_36_1 Melanie M. (e_1_2_9_41_1) 1998 e_1_2_9_19_1 e_1_2_9_42_1 Aggarwal S. (e_1_2_9_47_1) 2014; 4 e_1_2_9_21_1 e_1_2_9_44_1 e_1_2_9_7_1 e_1_2_9_5_1 e_1_2_9_3_1 Li B. (e_1_2_9_22_1) 2009 Bakir P.G. (e_1_2_9_29_1) 2011; 16 e_1_2_9_9_1 e_1_2_9_25_1 e_1_2_9_27_1 e_1_2_9_48_1 |
| References_xml | – volume: 199 start-page: 1864 year: 2017 end-page: 1869 ident: C20 article-title: Optimal design of sensor networks for damage detection publication-title: Procedia Eng.. – volume: 8694 start-page: 86941K year: 2013 ident: C9 article-title: Optimal sensor placement for structural health monitoring: a comparative study between the control engineering and civil engineering approaches publication-title: Proc. SPIE – volume: 24 start-page: 172 issue: PA year: 2015 end-page: 185 ident: C14 article-title: Towards prolonged lifetime for deployed WSNs in outdoor environment monitoring publication-title: Ad Hoc Netw. – volume: 199 start-page: 3320 year: 2017 end-page: 3325 ident: C4 article-title: An overview on nature-inspired optimization algorithms for structural health monitoring of historical buildings publication-title: Procedia Eng.. – volume: 26 start-page: 255 issue: 2 year: 2018 end-page: 283 ident: C12 article-title: Optimized hexagon-based deployment for large-scale ubiquitous sensor networks publication-title: J. Netw. Syst. Manag. – volume: 31 start-page: 1922 issue: 10 year: 1993 end-page: 1928 ident: C32 article-title: Sensor placement for on-orbit modal identification via a genetic algorithm publication-title: AIAA – volume: 27 start-page: 17 issue: 6 year: 1994 end-page: 26 ident: C47 article-title: Genetic algorithms: a survey publication-title: Computer (Long. Beach. Calif). – volume: 36 start-page: 135 issue: 2 year: 2013 end-page: 148 ident: C15 article-title: Efficient deployment of wireless sensor networks targeting environment monitoring applications publication-title: Comput. Commun. – volume: 16 start-page: 5095 issue: 12 year: 2016 end-page: 5106 ident: C35 article-title: Joint optimal placement and routing for wireless sensor networks in structural health monitoring publication-title: IEEE Sens. – volume: 2011 start-page: 1 year: 2011 end-page: 12 ident: C17 article-title: Optimal sensor placement for health monitoring of high-rise structure based on genetic algorithm publication-title: Math. Probl. Eng. – volume: 24 start-page: 125034 issue: 12 year: 2015 ident: C18 article-title: Optimal sensor placement in structural health monitoring using discrete optimization publication-title: Smart Mater. Struct. – volume: 5 start-page: 1033 issue: 9 year: 2010 end-page: 1040 ident: C22 article-title: Coverage problem in wireless sensor network: a survey publication-title: J. Netw. – volume: 20 start-page: 04014118 issue: 11 year: 2015 ident: C25 article-title: Categories of SHM deployments: technologies and capabilities publication-title: J. Bridg. Eng. – volume: 16 start-page: 456 issue: 2 year: 2011 end-page: 466 ident: C28 article-title: Evaluation of optimal sensor placement techniques for parameter identification in buidlings publication-title: Math. Comput. Appl. – volume: 422 start-page: 568 year: 2018 end-page: 589 ident: C19 article-title: Structural damage detection-oriented multi-type sensor placement with multi-objective optimisation publication-title: J. Sound Vib. – volume: 27 start-page: 1488 issue: 10 year: 2005 end-page: 1497 ident: C26 article-title: On the optimal sensor placement techniques for a bridge structure publication-title: Eng. Struct. – volume: 121 start-page: 33 year: 2018 end-page: 43 ident: C3 article-title: QoS – aware data delivery framework for safety-inspired multimedia in integrated vehicular-IoT publication-title: Elsevier Comput. Commun. J. – volume: 4 start-page: 596 issue: 1 year: 2014 end-page: 600 ident: C46 article-title: A review paper on different encoding schemes used in genetic algorithms publication-title: Adv. Res. Comput. Sci. Softw. Eng. – volume: 13 start-page: 528 issue: 3 year: 2004 end-page: 534 ident: C33 article-title: Optimal placement of sensors for structural health monitoring using improved genetic algorithms publication-title: Smart Mater. Struct. – volume: 4 start-page: 39 issue: 2 year: 2011 end-page: 54 ident: C43 article-title: Genetic algorithms: concepts, design for optimization of process controllers publication-title: Comput. Inf. Sci. – volume: 127 start-page: 68 issue: 1 year: 2005 ident: C29 article-title: Sensor placement for effective diagnosis of multiple faults in fixturing of compliant parts publication-title: J. Manuf. Sci. Eng. – volume: 2013 start-page: 1 year: 2013 end-page: 9 ident: C34 article-title: A combined optimal sensor placement strategy for the structural health monitoring of bridge structures publication-title: Int. J. Distrib. Sens. Netw. – volume: 26 start-page: 405 issue: 1 year: 2013 end-page: 416 ident: C11 article-title: Multi-objective node deployment in WSNs: In search of an optimal trade-off among coverage, lifetime, energy consumption, and connectivity publication-title: Eng. Appl. Artif. Intell. – volume: 36 start-page: 368 issue: 1 year: 2013 end-page: 377 ident: C13 article-title: Quantifying connectivity in wireless sensor networks with grid-based deployments publication-title: J. Netw. Comput. Appl. – volume: 8694 start-page: 86941K year: 2013 article-title: Optimal sensor placement for structural health monitoring: a comparative study between the control engineering and civil engineering approaches publication-title: Proc. SPIE – start-page: 1 year: 2010 end-page: 5 – volume: 20 start-page: 04014118 issue: 11 year: 2015 article-title: Categories of SHM deployments: technologies and capabilities publication-title: J. Bridg. Eng. – year: 2011 – volume: 24 start-page: 125034 issue: 12 year: 2015 article-title: Optimal sensor placement in structural health monitoring using discrete optimization publication-title: Smart Mater. Struct. – start-page: 1609 year: 2003 end-page: 1614 – volume: 16 start-page: 5095 issue: 12 year: 2016 end-page: 5106 article-title: Joint optimal placement and routing for wireless sensor networks in structural health monitoring publication-title: IEEE Sens. – volume: 27 start-page: 17 issue: 6 year: 1994 end-page: 26 article-title: Genetic algorithms: a survey publication-title: Computer (Long. Beach. Calif). – volume: 36 start-page: 135 issue: 2 year: 2013 end-page: 148 article-title: Efficient deployment of wireless sensor networks targeting environment monitoring applications publication-title: Comput. Commun. – start-page: 576 year: 2015 end-page: 580 – volume: 4 start-page: 596 issue: 1 year: 2014 end-page: 600 article-title: A review paper on different encoding schemes used in genetic algorithms publication-title: Adv. Res. Comput. Sci. Softw. Eng. – volume: 27 start-page: 1488 issue: 10 year: 2005 end-page: 1497 article-title: On the optimal sensor placement techniques for a bridge structure publication-title: Eng. Struct. – volume: 2013 start-page: 1 year: 2013 end-page: 9 article-title: A combined optimal sensor placement strategy for the structural health monitoring of bridge structures publication-title: Int. J. Distrib. Sens. Netw. – volume: 127 start-page: 68 issue: 1 year: 2005 article-title: Sensor placement for effective diagnosis of multiple faults in fixturing of compliant parts publication-title: J. Manuf. Sci. Eng. – start-page: 163 year: 2013 end-page: 167 – start-page: 270 year: 2004 end-page: 283 – volume: 422 start-page: 568 year: 2018 end-page: 589 article-title: Structural damage detection‐oriented multi‐type sensor placement with multi‐objective optimisation publication-title: J. Sound Vib. – year: 2016 – start-page: 2 year: 2009 end-page: 3 – start-page: 1 year: 2014 end-page: 6 – start-page: 509 year: 2013 end-page: 512 – start-page: 275 year: 2013 end-page: 282 – volume: 26 start-page: 405 issue: 1 year: 2013 end-page: 416 article-title: Multi‐objective node deployment in WSNs: In search of an optimal trade‐off among coverage, lifetime, energy consumption, and connectivity publication-title: Eng. Appl. Artif. Intell. – year: 1994 – volume: 5 start-page: 1033 issue: 9 year: 2010 end-page: 1040 article-title: Coverage problem in wireless sensor network: a survey publication-title: J. Netw. – year: 1998 – volume: 16 start-page: 456 issue: 2 year: 2011 end-page: 466 article-title: Evaluation of optimal sensor placement techniques for parameter identification in buidlings publication-title: Math. Comput. Appl. – start-page: 1 year: 2005 end-page: 6 – volume: 199 start-page: 3320 year: 2017 end-page: 3325 article-title: An overview on nature‐inspired optimization algorithms for structural health monitoring of historical buildings publication-title: Procedia Eng.. – year: 2008 – volume: 4 start-page: 39 issue: 2 year: 2011 end-page: 54 article-title: Genetic algorithms: concepts, design for optimization of process controllers publication-title: Comput. Inf. Sci. – volume: 199 start-page: 1864 year: 2017 end-page: 1869 article-title: Optimal design of sensor networks for damage detection publication-title: Procedia Eng.. – volume: 24 start-page: 172 issue: PA year: 2015 end-page: 185 article-title: Towards prolonged lifetime for deployed WSNs in outdoor environment monitoring publication-title: Ad Hoc Netw. – volume: 36 start-page: 368 issue: 1 year: 2013 end-page: 377 article-title: Quantifying connectivity in wireless sensor networks with grid‐based deployments publication-title: J. Netw. Comput. Appl. – volume: 31 start-page: 1922 issue: 10 year: 1993 end-page: 1928 article-title: Sensor placement for on‐orbit modal identification via a genetic algorithm publication-title: AIAA – start-page: 694 year: 2010 end-page: 699 – volume: 13 start-page: 528 issue: 3 year: 2004 end-page: 534 article-title: Optimal placement of sensors for structural health monitoring using improved genetic algorithms publication-title: Smart Mater. Struct. – start-page: 1 year: 2010 end-page: 9 article-title: High quality sensor placement for SHM systems: refocusing on application demands – start-page: 3116 year: 2011 end-page: 3121 – volume: 121 start-page: 33 year: 2018 end-page: 43 article-title: QoS – aware data delivery framework for safety‐inspired multimedia in integrated vehicular‐IoT publication-title: Elsevier Comput. Commun. J. – volume: 26 start-page: 255 issue: 2 year: 2018 end-page: 283 article-title: Optimized hexagon‐based deployment for large‐scale ubiquitous sensor networks publication-title: J. Netw. Syst. Manag. – start-page: 13 year: 2004 – volume: 2011 start-page: 1 year: 2011 end-page: 12 article-title: Optimal sensor placement for health monitoring of high‐rise structure based on genetic algorithm publication-title: Math. Probl. Eng. – ident: e_1_2_9_42_1 – ident: e_1_2_9_2_1 doi: 10.4108/icst.bodynets.2013.253720 – ident: e_1_2_9_21_1 doi: 10.1016/j.proeng.2017.09.115 – ident: e_1_2_9_3_1 doi: 10.1145/990064.990096 – ident: e_1_2_9_8_1 doi: 10.1109/ICTEL.2010.5478798 – ident: e_1_2_9_10_1 doi: 10.1117/12.2009754 – start-page: 3116 volume-title: American Control Conf. (ACC) year: 2011 ident: e_1_2_9_28_1 – volume: 5 start-page: 1033 issue: 9 year: 2010 ident: e_1_2_9_23_1 article-title: Coverage problem in wireless sensor network: a survey publication-title: J. Netw. – volume-title: Data structures and algorithms with object‐oriented design patterns in C++ year: 2008 ident: e_1_2_9_38_1 – ident: e_1_2_9_30_1 doi: 10.1115/1.1828056 – ident: e_1_2_9_32_1 doi: 10.1109/IWCMC.2015.7289147 – ident: e_1_2_9_4_1 doi: 10.1016/j.comcom.2018.02.012 – ident: e_1_2_9_43_1 – ident: e_1_2_9_33_1 doi: 10.2514/3.11868 – ident: e_1_2_9_20_1 doi: 10.1016/j.jsv.2018.01.047 – ident: e_1_2_9_9_1 doi: 10.1109/EUROCON.2013.6624997 – ident: e_1_2_9_25_1 doi: 10.1109/MILCOM.2005.1605825 – ident: e_1_2_9_24_1 doi: 10.1109/WCNC.2003.1200627 – ident: e_1_2_9_44_1 doi: 10.5539/cis.v4n2p39 – ident: e_1_2_9_6_1 doi: 10.1109/ICNC.2013.6817963 – ident: e_1_2_9_49_1 – ident: e_1_2_9_15_1 doi: 10.1016/j.adhoc.2014.08.017 – ident: e_1_2_9_26_1 doi: 10.1061/(ASCE)BE.1943-5592.0000735 – ident: e_1_2_9_14_1 doi: 10.1016/j.jnca.2012.05.006 – ident: e_1_2_9_17_1 doi: 10.1109/INFCOM.2010.5462159 – ident: e_1_2_9_27_1 doi: 10.1016/j.engstruct.2005.03.015 – ident: e_1_2_9_7_1 doi: 10.1145/1031495.1031498 – ident: e_1_2_9_35_1 doi: 10.1155/2013/481580 – ident: e_1_2_9_11_1 doi: 10.1109/VETECS.2010.5494174 – ident: e_1_2_9_34_1 doi: 10.1088/0964-1726/13/3/011 – ident: e_1_2_9_48_1 doi: 10.1109/2.294849 – volume: 4 start-page: 596 issue: 1 year: 2014 ident: e_1_2_9_47_1 article-title: A review paper on different encoding schemes used in genetic algorithms publication-title: Adv. Res. Comput. Sci. Softw. Eng. – ident: e_1_2_9_19_1 doi: 10.1088/0964-1726/24/12/125034 – volume-title: Algorithms design techniques and analysis year: 2016 ident: e_1_2_9_39_1 – ident: e_1_2_9_13_1 doi: 10.1007/s10922-017-9415-2 – ident: e_1_2_9_5_1 doi: 10.1016/j.proeng.2017.09.439 – ident: e_1_2_9_36_1 doi: 10.1109/JSEN.2016.2554462 – ident: e_1_2_9_16_1 doi: 10.1016/j.comcom.2012.08.021 – volume-title: Minimizing number of sensors in wireless sensor networks for structure health monitoring systems year: 2016 ident: e_1_2_9_46_1 – ident: e_1_2_9_31_1 doi: 10.3390/ecsa-1-d008 – volume: 16 start-page: 456 issue: 2 year: 2011 ident: e_1_2_9_29_1 article-title: Evaluation of optimal sensor placement techniques for parameter identification in buidlings publication-title: Math. Comput. Appl. – ident: e_1_2_9_18_1 doi: 10.1155/2011/395101 – volume-title: An introduction to genetic algorithms year: 1998 ident: e_1_2_9_41_1 – start-page: 2 volume-title: 28th IEEE Conf. on Computer Communications year: 2009 ident: e_1_2_9_22_1 – volume-title: Foundations of algorithms year: 2011 ident: e_1_2_9_40_1 – ident: e_1_2_9_37_1 – ident: e_1_2_9_50_1 – ident: e_1_2_9_12_1 doi: 10.1016/j.engappai.2012.05.018 – ident: e_1_2_9_45_1 |
| SSID | ssj0000460813 |
| Score | 2.129348 |
| Snippet | Sensor placement optimisation is an important problem in the field of structural health monitoring (SHM). Many researchers solve this problem by focusing only... |
| SourceID | crossref wiley iet |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 94 |
| SubjectTerms | binary search algorithm BS algorithm civil engineering requirements civil network requirements condition monitoring energy consumption exhaustive search method genetic algorithm genetic algorithms iterative methods mathematical analysis mathematical model minimisation numerical iterative algorithm Research Article search problems sensor placement optimisation SHM structural engineering structural health monitoring structure health monitoring systems time complexity wireless sensor networks |
| Title | Minimising number of sensors in wireless sensor networks for structure health monitoring systems |
| URI | http://digital-library.theiet.org/content/journals/10.1049/iet-wss.2018.5031 https://onlinelibrary.wiley.com/doi/abs/10.1049%2Fiet-wss.2018.5031 |
| Volume | 9 |
| WOSCitedRecordID | wos000462870000006&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: PRVWIB databaseName: Wiley Online Library Free Content customDbUrl: eissn: 2043-6394 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000460813 issn: 2043-6386 databaseCode: WIN dateStart: 20130101 isFulltext: true titleUrlDefault: https://onlinelibrary.wiley.com providerName: Wiley-Blackwell – providerCode: PRVWIB databaseName: Wiley Online Library Open Access customDbUrl: eissn: 2043-6394 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0000460813 issn: 2043-6386 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/eLvHCXMwrV3NS8MwFA9zetCD3-L8IgfxIFSXpmmTow6HHhyDKdutJm0DhdnJOvXf9yXpikOYIF4KSZNHeS_Je03yfj-EzhPCDJVk5GlGfUth5ilJiJcKzVJGqHFylmwi6vX4aCT6DdSZ58I4fIh6w83MDLtemwkulWMhgaAWjJhnM--zNIjbhF-xtsmlXiWERmZo-0G_3mgxJ3_c0iSbNFAPPHJQn26K6x9SFvzTCrxejFqt2-lu_csHb6PNKurEN26Y7KBGVuyijW9YhHvo5TEvcjA6FLCjCcETjUv4y51MS5wX2IAaj2FdrOpw4S6QlxjCXuxgaN-nGXaJlfjVrhVGNHZg0eU-eu7ePXXuvYp-wUsoBIUWppgFoZQizHiQSMIUhHeKZVCSUcoUbeuAayWYkDxlqfb9SKZJSLVSPJUBPUDNYlJkhwjzEGQwCA0UJYEOteA81H5bZiBeCd9vofZc6XFSYZMbioxxbM_IAxGD8mJQXmyUFxvltdBl3eXNAXMsa3xh6qrpWS5rSK0JfxcZDwcD_7ZrY6CjP_U6RutQL9w1oBPUBENlp2gt-Zjl5fTMDmJ4Dh96XweR9qU |
| linkProvider | Wiley-Blackwell |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1bS8MwFA7zAuqDd_FuHsQHobq2SZc8ehuK2xhs4t5q0jZQ0E5WL3_fc5I6FGGC-Jg0OZSTyznJyfk-Qg4TnyOVZMMzPAwshZmnle97qTQ85X6IRs6STTQ6HTEYyG6NXH7mwjh8iPGFG64Mu1_jAscLaXfgZAiSmWcv3nuJkNu-OOF1TKaeYWBtkMcgYN3xTQuG_oTlScY8UA9MMhuHN-XpDynfDNQUfP7utlq701z6nz9eJouV30nP3ERZIbWsWCULX9AI18hDOy9yGHYoUEcUQoeGlnDOHY5KmhcUYY0fYWes6mjhnpCXFBxf6oBoX0cZdamV9MnuFiiaOrjocp3cNa_6F9deRcDgJSG4hRaomLNIKRllgiXK5xocPM0zKKlGynVYN0wYLblUIuWpCYKGSpMoNFqLVLFwg0wXwyLbJFREIIODc6BDn5nISCEiE9RVBuK1DIItUv_UepxU6ORIkvEY2yg5kzEoLwblxai8GJW3RY7HXZ4dNMekxkdYVy3QclLD0I7h7yLj-14vOG9aL2j7T70OyNx1v92KWzed2x0yD22kexS0S6Zh0LI9Mpu8veTlaN_O6A_SAfl4 |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3dS8MwEA9ziuiD3-L8zIP4IFTXNumSR3UORR2DKe6tJm0ChdmNdeq_7yXphiJMEB-TJke5JHe_fNzvEDpOfGpSSTY8TcPApjDzpPB9L-WaptQPjZOzySYa7Tbr9XingpqTWBjHDzE9cDMrw9prs8DVMNVuw0kMSWamxt5HYSi3fXZG6yaYep5QsLWG35l0pict5uqP2TzJJg7UA5dMpteb_PyHlG8Oag4-f4et1u-0Vv_nj9fQSok78YWbKOuoovINtPyFjXATvTxkeQbDDgXsEoXggcYF7HMHowJnOTa0xn2wjGUdzt0T8gID8MWOiPZtpLALrcSv1loY0djRRRdb6Kl1_Xh145UJGLwkBFhoiYopiYTgkWIkET6VAPAkVVASjZTKsK4J05JTLlhKUx0EDZEmUailZKkg4Taq5oNc7SDMIpBBARzI0Cc60pyxSAd1oUC85EFQQ_WJ1uOkZCc3STL6sb0lJzwG5cWgvNgoLzbKq6HTaZeho-aY1fjE1JULtJjVMLRj-LvI-LnbDS5bFgXt_qnXEVrsNFvx_W37bg8tQRPu3gTtoyqMmTpAC8n7OCtGh3ZCfwKAPfj8 |
| 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=Minimising+number+of+sensors+in+wireless+sensor+networks+for+structure+health+monitoring+systems&rft.jtitle=IET+wireless+sensor+systems&rft.au=El-Qawasma%2C+Farah+AbdelMutaleb&rft.au=Elfouly%2C+Tarek+Mohamed&rft.au=Ahmed%2C+Mohamed+Hossam&rft.date=2019-04-01&rft.pub=The+Institution+of+Engineering+and+Technology&rft.issn=2043-6386&rft.eissn=2043-6394&rft.volume=9&rft.issue=2&rft.spage=94&rft.epage=101&rft_id=info:doi/10.1049%2Fiet-wss.2018.5031&rft.externalDocID=10_1049_iet_wss_2018_5031 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=2043-6386&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=2043-6386&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=2043-6386&client=summon |