Multi-agent location system in wireless networks

Mengual Galán, Luis and Marbán Gallego, Óscar and Eibe García, Santiago and Menasalvas Ruiz, Ernestina (2013). Multi-agent location system in wireless networks. "Expert systems with application", v. 40 (n. 6); pp. 2244-2262. ISSN 0957-4174.


Title: Multi-agent location system in wireless networks
  • Mengual Galán, Luis
  • Marbán Gallego, Óscar
  • Eibe García, Santiago
  • Menasalvas Ruiz, Ernestina
Item Type: Article
Título de Revista/Publicación: Expert systems with application
Date: May 2013
Volume: 40
Freetext Keywords: Indoor location -- Wireless lan 802.11 -- Signal strength Fingerprint techniques -- Fuzzy controllers
Faculty: Facultad de Informática (UPM)
Department: Lenguajes y Sistemas Informáticos e Ingeniería del Software
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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In this paper we propose a flexible Multi-Agent Architecture together with a methodology for indoor location which allows us to locate any mobile station (MS) such as a Laptop, Smartphone, Tablet or a robotic system in an indoor environment using wireless technology. Our technology is complementary to the GPS location finder as it allows us to locate a mobile system in a specific room on a specific floor using the Wi-Fi networks. The idea is that any MS will have an agent known at a Fuzzy Location Software Agent (FLSA) with a minimum capacity processing at its disposal which collects the power received at different Access Points distributed around the floor and establish its location on a plan of the floor of the building. In order to do so it will have to communicate with the Fuzzy Location Manager Software Agent (FLMSA). The FLMSAs are local agents that form part of the management infrastructure of the Wi-Fi network of the Organization. The FLMSA implements a location estimation methodology divided into three phases (measurement, calibration and estimation) for locating mobile stations (MS). Our solution is a fingerprint-based positioning system that overcomes the problem of the relative effect of doors and walls on signal strength and is independent of the network device manufacturer. In the measurement phase, our system collects received signal strength indicator (RSSI) measurements from multiple access points. In the calibration phase, our system uses these measurements in a normalization process to create a radio map, a database of RSS patterns. Unlike traditional radio map-based methods, our methodology normalizes RSS measurements collected at different locations on a floor. In the third phase, we use Fuzzy Controllers to locate an MS on the plan of the floor of a building. Experimental results demonstrate the accuracy of the proposed method. From these results it is clear that the system is highly likely to be able to locate an MS in a room or adjacent room.

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Item ID: 25845
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Deposited by: Memoria Investigacion
Deposited on: 05 Jun 2014 10:35
Last Modified: 22 Sep 2014 11:38
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