A Study on Indoor Environment Monitoring System via WSN

Article Preview

Abstract:

The quality of indoor environment has close relationship with peoples health, while people spend most time indoor during their life time. The development of relative technologies gives us a chance to monitor and change the indoor environment conveniently, such as sensor technology, computer technology and wireless communication technology. WSN (Wireless Sensor Network) has been widely used in many areas and especially in environment monitoring applications. This paper proposes a monitoring system applied in indoor environment which can provide an access to four kinds of parameters, including temperature, humidity, formaldehyde concentration and light intensity. The system is an application of WSN based on TinyOS. The system presented in this thesis is comprised of an upper PC, a sink node and a few sensor nodes. In addition, a monitoring platform with friendly human-machine interface is designed on the upper PC. The result of system test shows that this system can monitor the environmental parameters indoor sequentially and reliably.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

598-601

Citation:

Online since:

February 2014

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Rui Gao, Hong Zhou, Gang Su. A wireless sensor network environment monitoring system based on TinyOS. 2011 International Conference on Electronics and Optoelectronics. Vo1. 1(2011), pp.497-501.

DOI: 10.1109/iceoe.2011.6013153

Google Scholar

[2] Xianghui Cao, Jiming Chen, Yan Zhang, Youxian Sun: ISA Transactions. Vol. 47(2008), pp.247-255.

Google Scholar

[3] Aleksandar Milenkovic, Chris Otto, Emil Jovanov: Computer Communications. Vol. 29(2006), pp.2521-2533.

Google Scholar

[4] Hongming Yin, Kangyi Wang, Chao Qian: ELECTRONIC TEST. No. 10(2012), pp.85-89(In Chinese).

Google Scholar

[5] Liqiang Zhao, Shouyi Yin, Leibo Liu, Zhen Zhang, Shaojun Wei: Procedia Environmental Sciences. Vol. 11(2011), pp.558-565.

DOI: 10.1016/j.proenv.2011.12.088

Google Scholar

[6] Gelian Song, Maohua Wang, Xiao Ying, Rui Yang, Binyun Zhang: Applied Mechanics and Materials Vol. 263-266(2013), Part1, pp.872-877.

Google Scholar

[7] Jeong Hwa-Young, Hong Bong-Hwa: Applied Mechanics and Materials. Vol. 300-301(2013), pp.490-493.

Google Scholar

[8] Mingwei Wang, Zhan Yao, Huizhen Li: Applied Mechanics and Materials. Vol. 190-191(2012), pp.1079-1082.

Google Scholar

[9] Daoqu Geng, Zhen Fang: Applied Mechanics and Materials. Vol. 271(2013), pp.1546-1551.

Google Scholar

[10] Jun Wang, Feng Wang, Shuren Han: Applied Mechanics and Materials. Vol. 278-280(2013), pp.809-812.

Google Scholar

[11] Hualong Fan, Dequan Zhou: Applied Mechanics and Materials. Vol. 466-467(2012), pp.132-136.

Google Scholar

[12] I P. Levis, S. Madden, J. Polastre, R. Szewczyk, K. Whitehouse, A. Woo, D. Gay, J. Hill, M. Welsh , E. Brewer, and D. Culler. TinyOS: An Operating System for Sensor Network. Ambient Intelligence (Book). (2005), pp.115-148.

DOI: 10.1007/3-540-27139-2_7

Google Scholar