RUO Home

Repositorio Institucional de la Universidad de Oviedo

View Item 
  •   RUO Home
  • Producción Bibliográfica de UniOvi: RECOPILA
  • Artículos
  • View Item
  •   RUO Home
  • Producción Bibliográfica de UniOvi: RECOPILA
  • Artículos
  • View Item
    • español
    • English
JavaScript is disabled for your browser. Some features of this site may not work without it.

Browse

All of RUOCommunities and CollectionsBy Issue DateAuthorsTitlesSubjectsxmlui.ArtifactBrowser.Navigation.browse_issnAuthor profilesThis CollectionBy Issue DateAuthorsTitlesSubjectsxmlui.ArtifactBrowser.Navigation.browse_issn

My Account

LoginRegister

Statistics

View Usage Statistics

RECENTLY ADDED

Last submissions
Repository
How to publish
Resources
FAQs

ZigBee-based Sensor Network for Indoor Location and Tracking Applications

Author:
Álvarez López, YuriUniovi authority; Las Heras Andrés, Fernando LuisUniovi authority
Subject:

Internet of Things

ZigBee

Redes de sensores

Localización

Radiodeterminación

Tracking

Publication date:
2016-07
Editorial:

IEEE

Publisher version:
http://dx.doi.org/10.1109/TLA.2016.7587622
Citación:
IEEE Latin America Transactions, 14(7), p. 3208-3214 (2016); doi:10.1109/TLA.2016.7587622
Descripción física:
p. 3208-3214
Abstract:

Practical asset and people tracking in indoor scenarios using Received Signal Strength (RSS) ZigBee-based sensor network is presented. The Indoor Location System (ILS) is based on a novel algorithm that uses relative field levels gathered by a set of transmitter nodes. These levels are introduced into a cost function which minimum gives the asset location estimation. The use of relative field levels-based algorithm avoids the need of system calibration due to signal strength fluctuation. The method is tested in two real indoor scenarios: the first example is devoted to evaluate the influence of the number of transmitting nodes on the position estimation accuracy as well as the number of samples to be averaged aiming to reduce uncertainty. The second example shows a realistic case of asset tracking, also studying the influence of sample averaging and number of transmitting nodes

Practical asset and people tracking in indoor scenarios using Received Signal Strength (RSS) ZigBee-based sensor network is presented. The Indoor Location System (ILS) is based on a novel algorithm that uses relative field levels gathered by a set of transmitter nodes. These levels are introduced into a cost function which minimum gives the asset location estimation. The use of relative field levels-based algorithm avoids the need of system calibration due to signal strength fluctuation. The method is tested in two real indoor scenarios: the first example is devoted to evaluate the influence of the number of transmitting nodes on the position estimation accuracy as well as the number of samples to be averaged aiming to reduce uncertainty. The second example shows a realistic case of asset tracking, also studying the influence of sample averaging and number of transmitting nodes

URI:
http://hdl.handle.net/10651/45595
ISSN:
1548-0992
DOI:
10.1109/TLA.2016.7587622
Patrocinado por:

Ministerio de Economía y Competitividad de España mediante el proyecto MIRIIEM TEC 2014-54005-P, y por el Gobierno del Principado de Asturias mediante el proyecto PCTI 2013-2017 GRUPIN14-14

Collections
  • Artículos [37543]
  • Ingeniería Eléctrica, Electrónica, de Comunicaciones y de Sistemas [1086]
  • Investigaciones y Documentos OpenAIRE [8377]
Files in this item
Thumbnail
untranslated
Postprint (1021.Kb)
Métricas
Compartir
Exportar a Mendeley
Estadísticas de uso
Estadísticas de uso
Metadata
Show full item record
Página principal Uniovi

Biblioteca

Contacto

Facebook Universidad de OviedoTwitter Universidad de Oviedo
The content of the Repository, unless otherwise specified, is protected with a Creative Commons license: Attribution-Non Commercial-No Derivatives 4.0 Internacional
Creative Commons Image