No More Hiding! WALDO: Easily Locating with a Wi-Fi Opportunistic Approach

Bolívar Silva, João Lima, Celio Trois, William Pereira, Cristiano da Rocha

Abstract

The popularization of mobile devices and increasing the number of sensors and embedded resources boosted a large amount of research in the area of context-aware. Among the most relevant contextual information is the location. In outdoor environments, the GPS technology is already widespread and used. However, the people tend to spend most of their time indoors, such as universities, hospitals, malls, and supermarkets, where the GPS location is compromised. Several approaches using mainly radio frequency technologies have been proposed to solve the problem of indoor location. So far, no widely accepted solution solves the problem of location indoors. In this way, this work to use an opportunistic approach, making use of the Wi-Fi infrastructure available in the environment, to provide the location of mobile stations. Based on this objective, the WALDO architecture was developed that unites the characteristics of different approaches of the works that have been produced in recent years, taking into account the techniques that present better results at each stage, in conjunction with a zone-based approach and ranking, on phase online of the fingerprint technique, which makes ignoring RSS readings that present noises.

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Paper Citation


in Harvard Style

Silva B., Lima J., Trois C., Pereira W. and da Rocha C. (2019). No More Hiding! WALDO: Easily Locating with a Wi-Fi Opportunistic Approach.In Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-372-8, pages 571-578. DOI: 10.5220/0007677505710578


in Bibtex Style

@conference{iceis19,
author={Bolívar Silva and João Lima and Celio Trois and William Pereira and Cristiano da Rocha},
title={No More Hiding! WALDO: Easily Locating with a Wi-Fi Opportunistic Approach},
booktitle={Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2019},
pages={571-578},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007677505710578},
isbn={978-989-758-372-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 21st International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - No More Hiding! WALDO: Easily Locating with a Wi-Fi Opportunistic Approach
SN - 978-989-758-372-8
AU - Silva B.
AU - Lima J.
AU - Trois C.
AU - Pereira W.
AU - da Rocha C.
PY - 2019
SP - 571
EP - 578
DO - 10.5220/0007677505710578