Statistical Location Estimation in Container-Grown Seedlings Based on Wireless Sensor Networks

Autor:	Kyung-Il Moon, Sang-Hyun Lee
Rok vydání:	2014
Předmět:	Engineering business.industry Gaussian RSS Real-time computing Estimator computer.file_format symbols.namesake Tree (data structure) Time of arrival Container (abstract data type) Electronic engineering symbols Precision agriculture business Wireless sensor network computer
Zdroj:	The International Journal of Advanced Culture Technology. 2:15-18
ISSN:	2288-7202
DOI:	10.17703/ijact.2014.2.2.015
Popis:	This paper presents a sensor location decision making method respect to Container-Grown Seedlings in view of precision agriculture (PA) when sensors involved in tree container measure received signal strength (RSS) or time-of-arrival (TOA) between themselves and neighboring sensors. A small fraction of sensors in the container-grown seedlings system have a known location, whereas the remaining locations must be estimated. We derive Rao-Cramer bounds and maximum-likelihood estimators under Gaussian and log-normal models for the TOA and RSS measurements, respectively.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::aad04ddd7029996d6605a09af7743eca https://doi.org/10.17703/ijact.2014.2.2.015 Zobrazit plný text záznamu