Abstract
Wireless sensor network can act as a distributed sampling system in precision farming applications which aim at estimating the spatiotemporal variability. Sensor nodes should be deployed referring to the communication range r c and the sampling range r s instead of the sensing range. In this paper, a kind of systematic random deployment based on three popular regular patterns-equilateral triangle, square and hexagon is explored to achieve both coverage and connectivity. The efficiency of different regular patterns of systematic random deployment is also compared, thus enabling to make a better deployment decision for different values of r c /r s .
Chapter PDF
References
Zhang, N., Wang, M., Wang, N.: Precision Agriculture-a worldwide overview. Computer and Electronics in Agriculture 36, 113–132 (2002)
Wang, N., Zhang, N., Wang, M.: Wireless sensors in agriculture and food industry-Resent development and future perspective. Computer and Electronics in Agriculture 50, 1–14 (2006)
Baggio, A.: Wireless sensor networks in precision agriculture. In: Proc. Workshop on Real-World Wireless Sensor Networks (REALWSN 2005), Stockholm, Sweden (June 2005)
Camalie Net: Wireless sensor network at Camalie Vineyard. Camalie Vineyards (2006), http://www.camalie.com
Tilak, S., Abu-Ghazaleh, N., Heinzelman, W.: Infrastructure tradeoffs for sensor networks. In: Proc. of 1st Int’l Workshop on Wireless Sensor Networks and Applications (WSNA 2002), pp. 49–57 (2002)
Liu, H., Meng, Z., Shang, Y.: Sensor Nodes Placement for Farmland Envionment Monitoring Applications. In: The 5th Interational Conference Wireless Communications, Networking and Mobile Computing, Beijing, China, September 24-26 (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 IFIP International Federation for Information Processing
About this paper
Cite this paper
Liu, H., Meng, Z., Wang, H., Xu, M. (2013). Systematic Random Deployment for Wireless Sensor Network in Agricultural Sampling-Interpolation Applications. In: Li, D., Chen, Y. (eds) Computer and Computing Technologies in Agriculture VI. CCTA 2012. IFIP Advances in Information and Communication Technology, vol 393. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36137-1_7
Download citation
DOI: https://doi.org/10.1007/978-3-642-36137-1_7
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36136-4
Online ISBN: 978-3-642-36137-1
eBook Packages: Computer ScienceComputer Science (R0)