Collaborative actuation of wireless sensor and actuator networks for the agriculture industry.

Journal article


Bai, Xingzhen, Liu, Lu, Cao, Maoyong, Panneerselvam, J., Sun, Qiao and Wang, Haixia 2017. Collaborative actuation of wireless sensor and actuator networks for the agriculture industry. IEEE Access. https://doi.org/10.1109/ACCESS.2017.2725342
AuthorsBai, Xingzhen, Liu, Lu, Cao, Maoyong, Panneerselvam, J., Sun, Qiao and Wang, Haixia
Abstract

This 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.

KeywordsCollaborative actuation; Wireless networks; Agricultural industry
Year2017
JournalIEEE Access
PublisherIEEE
ISSN21693536
Digital Object Identifier (DOI)https://doi.org/10.1109/ACCESS.2017.2725342
Web address (URL)http://hdl.handle.net/10545/622067
hdl:10545/622067
Publication dates11 Jul 2017
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Deposited22 Jan 2018, 15:23
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ContributorsShandong University of Science and Technology and University of Derby
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