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http://dx.doi.org/10.7236/IJIBC.2020.12.4.226

Sensor Location Estimation in of Landscape Plants Cultivating System (LPCS) Based on Wireless Sensor Networks with IoT  

Kang, Tae-Sun (Department of Landscape Architecture, Honam University)
Lee, Sang-Hyun (Department of Computer Engineering, Honam University)
Publication Information
International Journal of Internet, Broadcasting and Communication / v.12, no.4, 2020 , pp. 226-231 More about this Journal
Abstract
In order to maximize the production of landscape plants in optimal condition while coexisting with the environment in terms of precision agriculture, quick and accurate information gathering of the internal environmental elements of the growing container is necessary. This may depend on the accuracy of the positioning of numerous sensors connected to landscape plants cultivating system (LPCS) in containers. Thus, this paper presents a method for estimating the location of the sensors related to cultivation environment connected to LPCS by measuring the received signal strength (RSS) or time of arrival TOA received between oneself and adjacent sensors. The Small sensors connected to the LPCS of container are known for their locations, but the remaining locations must be estimated. For this in the paper, Rao-Cramer limits and maximum likelihood estimators are derived from Gaussian models and lognormal models for TOA and RSS measurements, respectively. As a result, this study suggests that both RSS and TOA range measurements can produce estimates of the exact locations of the cultivation environment sensors within the wireless sensor network related to the LPCS.
Keywords
Sensor Location Estimation; Landscape Plants Cultivating System (LPCS); Wireless Sensor Networks; Received Signal strength (RSS); Time of Arrival (TOA);
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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