This paper discusses the possibility of accurately estimating the position of smart appliances in known indoor environments using agent technology. The proposed localization approach does not require specific infrastructures, nor it requires special on-board sensors, because it uses only WiFi signaling, which can be considered ubiquitous. Localization is performed using range estimates from fixed access points of the WiFi network with known positions. In order to derive the experimental results shown in the paper, a specific range-based localization algorithm, the Two-Stage Maximum-Likelihood localization algorithm, is considered. Results presented in the last part of the paper show that a proper processing on the WiFi-based range estimates allows obtaining position estimates which can be considered sufficiently accurate for many applications.

An experimental evaluation of agent-based indoor localization / Monica, Stefania; Bergenti, Federico. - 2018-:(2018), pp. 638-646. (Intervento presentato al convegno 2017 SAI Computing Conference 2017 tenutosi a Hilton London Kensington, 179-199 Holland Park Ave, gbr nel 2017) [10.1109/SAI.2017.8252163].

An experimental evaluation of agent-based indoor localization

MONICA, Stefania;Bergenti, Federico
2018

Abstract

This paper discusses the possibility of accurately estimating the position of smart appliances in known indoor environments using agent technology. The proposed localization approach does not require specific infrastructures, nor it requires special on-board sensors, because it uses only WiFi signaling, which can be considered ubiquitous. Localization is performed using range estimates from fixed access points of the WiFi network with known positions. In order to derive the experimental results shown in the paper, a specific range-based localization algorithm, the Two-Stage Maximum-Likelihood localization algorithm, is considered. Results presented in the last part of the paper show that a proper processing on the WiFi-based range estimates allows obtaining position estimates which can be considered sufficiently accurate for many applications.
2018
2017
2017 SAI Computing Conference 2017
Hilton London Kensington, 179-199 Holland Park Ave, gbr
2017
2018-
638
646
Monica, Stefania; Bergenti, Federico
An experimental evaluation of agent-based indoor localization / Monica, Stefania; Bergenti, Federico. - 2018-:(2018), pp. 638-646. (Intervento presentato al convegno 2017 SAI Computing Conference 2017 tenutosi a Hilton London Kensington, 179-199 Holland Park Ave, gbr nel 2017) [10.1109/SAI.2017.8252163].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1207030
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