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dc.contributor.authorBai, Xingzhen
dc.contributor.authorLiu, Lu
dc.contributor.authorCao, Maoyong
dc.contributor.authorPanneerselvam, John
dc.contributor.authorSun, Qiao
dc.contributor.authorWang, Haixia
dc.date.accessioned2018-01-22T15:23:31Z
dc.date.available2018-01-22T15:23:31Z
dc.date.issued2017-07-11
dc.identifier.citationBai, X. et al (2017) 'Collaborative Actuation of Wireless Sensor and Actuator Networks for the Agriculture Industry', IEEE Access, 5 pp.13286-13296en
dc.identifier.issn21693536
dc.identifier.doi10.1109/ACCESS.2017.2725342
dc.identifier.urihttp://hdl.handle.net/10545/622067
dc.description.abstractThis paper investigates the deployment of collaborative estimation and actuation scheme of wireless sensor and actuator networks for the agriculture industry. In our proposed scheme, sensor nodes conduct a local estimation based on the Kalman filter for enhancing the estimation stability and further transmit data to the actuator nodes under a multi-rate transmission mode for enhancing the overall energy efficiency of the wireless network. Considering the mutual effect of related clusters, a collaborative actuation scheme of actuator nodes is integrated into our proposed scheme for improving the estimation accuracy and convergence speed. With an accurate estimation of the changes in the environmental parameters, combining the fuzzy neural network with the PID control algorithm, the actuator exerts reliable control over the environmental parameters. Performance evaluations and simulation analysis conducted based on the effects of temperature demonstrate the effectiveness of our proposed scheme in controlling the greenhouse environmental changes for in the agriculture industry.
dc.description.sponsorshipN/Aen
dc.language.isoenen
dc.publisherIEEEen
dc.relation.urlhttp://ieeexplore.ieee.org/document/7973153/en
dc.rightsArchived with thanks to IEEE Accessen
dc.subjectCollaborative actuationen
dc.subjectWireless networksen
dc.subjectAgricultural industryen
dc.titleCollaborative actuation of wireless sensor and actuator networks for the agriculture industry.en
dc.typeArticleen
dc.contributor.departmentShandong University of Science and Technologyen
dc.contributor.departmentUniversity of Derbyen
dc.identifier.journalIEEE Accessen
refterms.dateFOA2019-02-28T16:30:12Z
html.description.abstractThis paper investigates the deployment of collaborative estimation and actuation scheme of wireless sensor and actuator networks for the agriculture industry. In our proposed scheme, sensor nodes conduct a local estimation based on the Kalman filter for enhancing the estimation stability and further transmit data to the actuator nodes under a multi-rate transmission mode for enhancing the overall energy efficiency of the wireless network. Considering the mutual effect of related clusters, a collaborative actuation scheme of actuator nodes is integrated into our proposed scheme for improving the estimation accuracy and convergence speed. With an accurate estimation of the changes in the environmental parameters, combining the fuzzy neural network with the PID control algorithm, the actuator exerts reliable control over the environmental parameters. Performance evaluations and simulation analysis conducted based on the effects of temperature demonstrate the effectiveness of our proposed scheme in controlling the greenhouse environmental changes for in the agriculture industry.


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