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...
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| Published in: | IET wireless sensor systems Vol. 9; no. 2; pp. 94 - 101 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
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The Institution of Engineering and Technology
01.04.2019
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| ISSN: | 2043-6386, 2043-6394, 2043-6394 |
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| 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. |
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| 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 |
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| 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 |
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| Copyright | The Institution of Engineering and Technology 2021 The Institution of Engineering and Technology |
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| 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 |
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| Snippet | Sensor placement optimisation is an important problem in the field of structural health monitoring (SHM). Many researchers solve this problem by focusing only... |
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| 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 |
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