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Information Technology Journal

Year: 2013 | Volume: 12 | Issue: 23 | Page No.: 7631-7635
DOI: 10.3923/itj.2013.7631.7635
Forest Wireless Monitoring System of Internet of Things Based on Zigbee Technology
Yunjie Xu

Abstract: In terms of artificial forest plantation, surroundings determine the growth situation of trees, which is an important factor for guaranteeing both quality and quantity. Previously, the growth information and growth situation are judged by experience. Compared with it, the newly-put-forward forest wireless monitoring system of Internet of Things which is based on the Zigbee technology can monitor the growth information and the surroundings of trees accurately and in any time as well as conduct reasonable and precise control over them through organizing the forest wireless monitoring system of Internet of Things. This system designs the modularized wireless node hardware with chip Atmega128L and CC2420 as its core and integrates them into various sensor modules such as growth, humidity and temperature of trees. It also completes the multi-sensor finite state machine program according to Z-stack protocol stack and improves composition of the gateway structure. The statistical data are obtained through a large number of experiments. The system has strong stability and can satisfy application of Internet of Things of the forest data monitoring.

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How to cite this article
Yunjie Xu , 2013. Forest Wireless Monitoring System of Internet of Things Based on Zigbee Technology. Information Technology Journal, 12: 7631-7635.

Keywords: Internet of things, forest, zigBee and wireless monitoring system

REFERENCES

  • Baker, B.B. and E.T. Copson, 1953. The Mathematical Theory of Huygens Principle. 2nd Edn., Oxford University Press, London


  • Fukatsu, T. and M. Hirafuji, 2005. Field monitoring using sensor-nodes with a web-server. J. Robotics Mechatronics, 17: 164-172.
    Direct Link    


  • Han, S.Q. and Y. Zhang, 2011. An intelligent service collaboration algorithm for wireless sensor networks. Sensor Lett., 9: 1485-1489.
    Direct Link    


  • Hu, K., Z. Fu, R. Ji and L. Qi, 2011. Research on the influence factors of ultrasonic measurement system of tree canopy volume. Sensor Lett., 9: 1220-1224.
    Direct Link    


  • Jiang, Z.Y. and P.N. Jiao, 1992. Experimental research of the propagation loss in the forest environment. J. China Instit. Communi., 13: 73-78.


  • Li, W.B., J.M. Zhang, C. Sa, D.M. Wang and K. Gao, 2007. Model for forecasting the electric field intensity of UHF wireless frequency band in forests. J. Beijing For. Univ., 29: 15-18.


  • Zhang, J.G., W.B. Li, N. Han and J.M. Kan, 2007. Forest fire detection system based on ZigBee wireless sensor network. J. Beijing For. Univ., 29: 41-45.


  • Zhang, J.G., W.B. Li and Y.D. Zhao, 2008. Range-based localization algorithms of wireless sensor network. Comput. Eng. Sci., 35: 62-64.


  • Li, Z.M., X.W. Zhang and H.C. Liu, 2013. Design and realization of temperature and humidity monitoring system based CC2530. Measur. Control Technol., 5: 25-28.
    Direct Link    

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