Abstract
Nowadays, the industry of harvesting palm sap in Sri Lanka is facing many problems due to theft and environmental affects. In this paper, we propose a solution for the particular problem by using a wireless sensor network based system to monitor the palm sap production of a large plantation area. We are using an enhanced version of TikiriDB which provides a database abstraction on the sensor network to make the process of data collecting and analyzing more efficient. TikiriDB can be used to reduce restrictions on accessing traditional sensor networks by enabling the user to access the sensor network using multiple queries through multiple access points simultaneously.
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References
Madden, S., Franklin, M.J., Hellerstein, J.M., Hong, W.: Tinydb: An acqusitional query processing system for sensor networks (2005)
Laxaman, N.M., Goonatillake, M.D.J.S., Zoysa, K.D.: Tikiridb: Shared wireless sensor network database for multi-user data access (2010)
Madden, S., Franklin, M.J., Hellerstein, J.M.: Design of an acquisitional query processor for sensor networks (2003)
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Sayakkara, A.P., Senanayake, W.S.N.P., Hewage, K., Laxaman, N.M., De Zoysa, K. (2010). The Deployment of TikiriDB for Monitoring Palm Sap Production. In: Marron, P.J., Voigt, T., Corke, P., Mottola, L. (eds) Real-World Wireless Sensor Networks. REALWSN 2010. Lecture Notes in Computer Science, vol 6511. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17520-6_21
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DOI: https://doi.org/10.1007/978-3-642-17520-6_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-17519-0
Online ISBN: 978-3-642-17520-6
eBook Packages: Computer ScienceComputer Science (R0)