Abstract
The monitoring of various interest parameters in a culture was proven as a useful tool, which improve the agricultural production. The monitoring of crops in precision farming can be achieved through a multiplicity of technologies; however, using Wireless Sensor Networks results in low-power deployments, thus becoming a dominant option. Our research proposes the development of a new agricultural field monitoring system based on atmospheric sensors capable of measuring the different parameters of the air and soil sensors measuring the soil parameters. In this chapter, we propose a periodic hybrid routing algorithm sensitive to the threshold for the collection of environmental data. The proposed algorithm uses region-based cluster approaches for the deployment of sensor nodes, which provide effective coverage to the entire agricultural area. In addition, a proposed clustering protocol based on the combination of residual energy and distance between neighboring nodes, to obtain optimal Cluster-head and improve energy efficiency in the WSN. The results of the simulation show that the proposed routing algorithm exceeds other well-known algorithms based on packet delivery, energy consumption and network lifetime as a performance measure.
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Khelifi, F. (2020). Monitoring System Based in Wireless Sensor Network for Precision Agriculture. In: Alam, M., Shakil, K., Khan, S. (eds) Internet of Things (IoT). Springer, Cham. https://doi.org/10.1007/978-3-030-37468-6_24
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DOI: https://doi.org/10.1007/978-3-030-37468-6_24
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