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Issue title: Special issue: Fuzzy Systems in Distributed Sensing Applications
Guest editors: Mohamed Elhoseny and X. Yuan
Article type: Research Article
Authors: Yu, Xiaoqinga; * | Zhang, Zenglinb | Chai, Ruia
Affiliations: [a] Data Science and Technology, North University of China, Taiyuan, Shanxi, China | [b] Northwest A&F University, Yangling, Shaanxi, China
Correspondence: [*] Corresponding author. Xiaoqing Yu, Data Science and Technology, North University of China, Taiyuan, Shanxi 030051, China. E-mail: [email protected].
Abstract: To explore wireless sensor network signal transmission characteristics in through-the-earth communication, this paper focused on wireless network signal transmission attenuation by using 433MHz carrier frequency. Sensor nodes electromagnetic wave transmission characteristics were studied under the condition the different receiving node height, horizontal distance between the transmitting node and the receiving node through the wheat field experiments and computer simulation, the relationship between the received signal strength was established, transmission characteristics of field soil information collection sensor nodes in the soil under four wheat stages were put forwarded. The experiment demonstrated that 8 model goodness of fit R2 of effection of receiving node high and inter-nodes horizontal distance on RSSI(Received Signal Strength Indicator). Besides, three-dimensional surface of RSSI was built in four wheat growing periods, which the fitting model and goodness of fit of RSSI are obtained, and the model verification was conducted through SPASS software. Validation results showed that the model could better predict the received signal strength at different condition through-the-earth communication. The study can provide the technical support for sensor network node deployment and the establishment of the system in soil information acquisition.
Keywords: Wireless sensor networks, experiments, node high, received signal strength, horizontal distance between nodes
DOI: 10.3233/JIFS-179503
Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 2, pp. 1401-1410, 2020
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