Performance analysis of a wireless sensor network with cognitive radio capabilities in structural health monitoring applications: A discrete model
This article studies the performance of a wireless sensor network with cognitive radio capabilities to gather information about structural health monitoring of buildings in case of seismic activity. Since the use of the local area network is intensive in office and home environments, we propose the...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2018-05-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147718774001 |
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| _version_ | 1832545230612594688 |
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| author | Hassel Aurora Alcalá Garrido Mario E Rivero-Angeles Eleazar Aguirre Anaya Felipe A Cruz-Perez S Lirio Castellanos-Lopez Genaro Hernandez-Valdez |
| author_facet | Hassel Aurora Alcalá Garrido Mario E Rivero-Angeles Eleazar Aguirre Anaya Felipe A Cruz-Perez S Lirio Castellanos-Lopez Genaro Hernandez-Valdez |
| author_sort | Hassel Aurora Alcalá Garrido |
| collection | DOAJ |
| description | This article studies the performance of a wireless sensor network with cognitive radio capabilities to gather information about structural health monitoring of buildings in case of seismic activity. Since the use of the local area network is intensive in office and home environments, we propose the use of empty cellular channels (primary system). As such, the structural health monitoring does not degrade the local communications. Thus, the wireless sensor network for structural health monitoring acts as secondary network. Two discrete-time analytical approaches are proposed and developed to evaluate the system performance in terms of both the average packet delay and average energy consumption. The first one is an approximation suitable for the case when the time slot duration is small relative to the mean call inter-arrival time. The second model is accurate for any time slot duration and inter-arrival times. |
| format | Article |
| id | doaj-art-532b5294c30d4eebab2d81b285a98028 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2018-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-532b5294c30d4eebab2d81b285a980282025-02-03T07:26:22ZengWileyInternational Journal of Distributed Sensor Networks1550-14772018-05-011410.1177/1550147718774001Performance analysis of a wireless sensor network with cognitive radio capabilities in structural health monitoring applications: A discrete modelHassel Aurora Alcalá Garrido0Mario E Rivero-Angeles1Eleazar Aguirre Anaya2Felipe A Cruz-Perez3S Lirio Castellanos-Lopez4Genaro Hernandez-Valdez5Network and Data Science Laboratory, CIC—Instituto Politécnico Nacional, Mexico City, MexicoNetwork and Data Science Laboratory, CIC—Instituto Politécnico Nacional, Mexico City, MexicoLaboratory of Cybersecurity, CIC—Instituto Politécnico Nacional, Mexico City, MexicoDepartment of Electrical Engineering, CINVESTAV—Instituto Politécnico Nacional (IPN), Mexico City, MexicoElectronic Engineering Department, Universidad Autónoma Metropolitana (UAM), Mexico City, MexicoElectronic Engineering Department, Universidad Autónoma Metropolitana (UAM), Mexico City, MexicoThis article studies the performance of a wireless sensor network with cognitive radio capabilities to gather information about structural health monitoring of buildings in case of seismic activity. Since the use of the local area network is intensive in office and home environments, we propose the use of empty cellular channels (primary system). As such, the structural health monitoring does not degrade the local communications. Thus, the wireless sensor network for structural health monitoring acts as secondary network. Two discrete-time analytical approaches are proposed and developed to evaluate the system performance in terms of both the average packet delay and average energy consumption. The first one is an approximation suitable for the case when the time slot duration is small relative to the mean call inter-arrival time. The second model is accurate for any time slot duration and inter-arrival times.https://doi.org/10.1177/1550147718774001 |
| spellingShingle | Hassel Aurora Alcalá Garrido Mario E Rivero-Angeles Eleazar Aguirre Anaya Felipe A Cruz-Perez S Lirio Castellanos-Lopez Genaro Hernandez-Valdez Performance analysis of a wireless sensor network with cognitive radio capabilities in structural health monitoring applications: A discrete model International Journal of Distributed Sensor Networks |
| title | Performance analysis of a wireless sensor network with cognitive radio capabilities in structural health monitoring applications: A discrete model |
| title_full | Performance analysis of a wireless sensor network with cognitive radio capabilities in structural health monitoring applications: A discrete model |
| title_fullStr | Performance analysis of a wireless sensor network with cognitive radio capabilities in structural health monitoring applications: A discrete model |
| title_full_unstemmed | Performance analysis of a wireless sensor network with cognitive radio capabilities in structural health monitoring applications: A discrete model |
| title_short | Performance analysis of a wireless sensor network with cognitive radio capabilities in structural health monitoring applications: A discrete model |
| title_sort | performance analysis of a wireless sensor network with cognitive radio capabilities in structural health monitoring applications a discrete model |
| url | https://doi.org/10.1177/1550147718774001 |
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