Environmental Monitoring System Based on ZigBee Wireless Sensor and Low-Power Technology

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Environment monitoring system is an application service system for the management of industry and agriculture and the construction and operation of the national economy, which is conducive to the protection of the environment and ecology, can effectively avoid major environmental pollution incidents to threaten people's lives and property safety, and provide information support to safe energy system and to more efficient cooperative-work. The wireless sensor network is the product of the combination of sensor technology, communication technology and computer network technology. The wireless communication technologies in wireless sensor networks include infrared, Bluetooth, Wi-Fi, and ZigBee, etc.. ZigBee technology is a set of communications technology for networking, security and application software with developed based on the IEEE 802.15.4 wireless standard, which are provided with low-power, low-latency, high security and other technical advantages. In this paper, the ZigBee wireless sensor network was used for data acquisition, wireless transmission in environmental monitoring site, which overcame the disadvantages and difficulties from traditional manual sampling monitors and from complicated wiring cable network monitoring. Quickly through ZigBee network data transmission to the monitoring platform to provide a reliable basis for environmental monitoring.

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701-704

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February 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Andreas Willig, Kirsten Matheus, Adam Wolisz: Proceedings of the IEEE, Vol. 93.

Google Scholar

[2] DirkSMoh1: Industrial Networking Solutions, (2003).

Google Scholar

[3] LiQun, Daniela Rus: IEEE Transactionon Comuputers, Vol. 55 (2006), pp.214-226.

Google Scholar

[4] Ian F. Akyildiz, Tommaso Melodia: Computer Networks, Vol. 51 (2007), pp.921-960.

Google Scholar

[5] O. Obst: International Conference on Information Processing in Sensor Network(IPSN), (2009), pp.373-374.

Google Scholar

[6] Victor Shanyder, Matt Welsh: Proceedings of the 2nd ACM Conference on Embedded Networked Sensor Systems(Sensys), (2004).

Google Scholar

[7] I.T. Almalkawi, M.G. Zapata, J.N. Al-Karaki, J. Morillo-Pozo: Sensors(Basel), Vol. 10 (2010), pp.6662-6717.

DOI: 10.3390/s100706662

Google Scholar

[8] O. Obst, X.R. Wang, M. Prokopenko: International Conference on Information Processing in SensorNetworks(IPSN), (2008), pp.219-229.

Google Scholar

[9] David Malan, Thaddeus Fulford-Jones, Matt Welsh, Steve Moulton: MobiSys 2004 Workshop onApplication of Mobile Embedded Systems(WAMES 2004), (2004).

Google Scholar