Collaborative Actuation of Wireless Sensor and Actuator Networks for the Agriculture Industry
| Autor: | Qiao Sun, John Panneerselvam, Maoyong Cao, Lu Liu, Xingzhen Bai, Haixia Wang |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
General Computer Science
Computer science 02 engineering and technology wireless sensor and actuator network (WSANs) Computer Science::Robotics Computer Science::Systems and Control Control theory 0202 electrical engineering electronic engineering information engineering Wireless General Materials Science data fusion fuzzy neural network Artificial neural network business.industry Wireless network 020208 electrical & electronic engineering General Engineering 020206 networking & telecommunications Control engineering Kalman filter Key distribution in wireless sensor networks Coordinative control lcsh:Electrical engineering. Electronics. Nuclear engineering business Actuator lcsh:TK1-9971 Wireless sensor network Efficient energy use |
| Zdroj: | IEEE Access, Vol 5, Pp 13286-13296 (2017) |
| ISSN: | 2169-3536 |
| DOI: | 10.1109/access.2017.2725342 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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