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Implementation of Greenhouse Monitoring System Using Ubiquitous Sensor Networks Based on WMN

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6485))

Abstract

The USN technology is one of the important technologies to implement the ubiquitous society, which has been used in applications of various fields, and in the agricultural sector, the value-added and productivity are increased by applying it to production management, distribution etc. as well as growing conditions. Particularly, in the greenhouse, the quality and productivity for crops are improved by monitoring and managing growth information for crops and environmental information etc. with the utilization of USN. However, the network topology is frequently changed since sensor nodes building a USN have limited energy resources, and it is not suitable to operate a network by construct a large-scale network through a network extension because packets could be lost during long-distance data transmission. This paper proposes a greenhouse monitoring system applying WMN technologies to a USN to solve problems mentioned above, and implements the system after analyzing the performance through a simulation. In the proposed system, a mesh coordinator is constructed on the data transmission path between sensor nodes and a gateway for monitoring greenhouse environment, and it could be found that this system has higher data transmission efficiency and energy efficiency than the system constructing with conventional USN.

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© 2010 Springer-Verlag Berlin Heidelberg

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Hwang, J., Yoe, H. (2010). Implementation of Greenhouse Monitoring System Using Ubiquitous Sensor Networks Based on WMN. In: Kim, Th., Lee, Yh., Kang, BH., Ślęzak, D. (eds) Future Generation Information Technology. FGIT 2010. Lecture Notes in Computer Science, vol 6485. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17569-5_68

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  • DOI: https://doi.org/10.1007/978-3-642-17569-5_68

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-17568-8

  • Online ISBN: 978-3-642-17569-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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