Design of Wireless Sensor Network-Based Greenhouse Environment Monitoring and Automatic Control System

In view of the characteristics of greenhouse environment monitoring system , a system scheme based on wireless sensor network (WSN) is presented, which adopts Atmega128L chip and CC2530 that is a low power RF chip from TI to design the sink node and sensor nodes in the WSN. The monitoring and management center can control the temperature and humidity of the greenhouse, measure the carbon dioxide content, and collect the information about intensity of illumination, and so on. And the system adopts multilevel energy memory. It combines energy management with energy transfer, which makes the energy collected by solar energy batteries be used reasonably. Therefore, the self-managing energy supply system is established. In addition, the nodes deployment method and time synchronization problem are analyzed in detail. The system can solve the problem of complex cabling with the advantages of low power consumption, low cost, good robustness, extended flexible and high reliability. An effective tool is provided for monitoring and analysis decision-making of the greenhouse environment.

[1]  Francesca Cuomo,et al.  Funneling-MAC: a localized, sink-oriented MAC for boosting fidelity in sensor networks , 2006, SenSys '06.

[2]  Zhao Zun-jun Application of the Wireless Sensor Networks in Agriculture , 2012 .

[3]  Yu-Chee Tseng,et al.  Distributed Deployment Schemes for Mobile Wireless Sensor Networks to Ensure Multilevel Coverage , 2008 .

[4]  A. Mahajan,et al.  A survey of architecture and node deployment in Wireless Sensor Network , 2008, 2008 First International Conference on the Applications of Digital Information and Web Technologies (ICADIWT).

[5]  Xiaohong Hao,et al.  Connectivity probability based on star type deployment strategy for wireless sensor networks , 2008, 2008 7th World Congress on Intelligent Control and Automation.

[6]  Liu Li Time-Offset Compensation Based Time Synchronization Approach for Wireless Sensor Network , 2011 .

[7]  Jenn-Hwan Tarng,et al.  A relay node deployment method for disconnected wireless sensor networks: Applied in indoor environments , 2009, J. Netw. Comput. Appl..

[8]  Jon Crowcroft,et al.  Overload traffic management for sensor networks , 2007, TOSN.

[9]  Anantha P. Chandrakasan,et al.  An application-specific protocol architecture for wireless microsensor networks , 2002, IEEE Trans. Wirel. Commun..

[10]  Guoqing Yu,et al.  Agricultural environment information monitoring instruments based on integrated intelligent sensors , 2009, International Conference on Photonics and Image in Agriculture Engineering.

[11]  Isaias Gonzalez Perez,et al.  Greenhouse automation with programmable controller and decentralized periphery via field bus , 2009, 2009 IEEE International Conference on Mechatronics.

[12]  E. Fitz-Rodríguez,et al.  Dynamic modeling and simulation of greenhouse environments under several scenarios: A web-based application , 2010 .

[13]  Isaías González Pérez,et al.  Greenhouse automation with programmable controller and decentralized periphery via field bus , 2009, ICM 2009.

[14]  Zhu Wang,et al.  The Design of the Remote Water Quality Monitoring System Based on WSN , 2009, 2009 5th International Conference on Wireless Communications, Networking and Mobile Computing.

[15]  Wang Ling Design of Greenhouse Temperature and Humidity Monitoring System Based on WSN , 2010 .

[16]  D. Kolokotsa,et al.  Development of an intelligent indoor environment and energy management system for greenhouses using a fuzzy logic controller and LonWorks® pro- tocol , 2006 .

[17]  H.J.J. Janssen,et al.  Methodic design of a measurement and control system for climate control in horticulture , 2008 .

[18]  Liu Chengliang,et al.  Development of remote monitoring system for soil moisture based on 3s technology alliance. , 2010 .