Collaborative actuation of wireless sensor and actuator networks for the agriculture industry.
|Authors||Bai, Xingzhen, Liu, Lu, Cao, Maoyong, Panneerselvam, J., Sun, Qiao and Wang, Haixia|
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.
|Keywords||Collaborative actuation; Wireless networks; Agricultural industry|
|Digital Object Identifier (DOI)||https://doi.org/10.1109/ACCESS.2017.2725342|
|Web address (URL)||http://hdl.handle.net/10545/622067|
|Publication dates||11 Jul 2017|
|Publication process dates|
|Deposited||22 Jan 2018, 15:23|
Archived with thanks to IEEE Access
|Contributors||Shandong University of Science and Technology and University of Derby|
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