LIS: Localization based on an intelligent distributed fuzzy system applied to a WSN

The localization of the sensor nodes is a fundamental problem in wireless sensor networks. There are a lot of different kinds of solutions in the literature. Some of them use external devices like GPS, while others use special hardware or implicit parameters in wireless communications. In applicatio...

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Autores: Larios Marín, Diego Francisco, Barbancho Concejero, Julio, Molina Cantero, Francisco Javier, León de Mora, Carlos
Tipo de recurso: artículo
Estado:Versión enviada para evaluación y publicación
Fecha de publicación:2012
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/77110
Acceso en línea:https://hdl.handle.net/11441/77110
https://doi.org/10.1016/j.adhoc.2011.11.003
Access Level:acceso abierto
Palabra clave:Fuzzy System
WSNs
RSSI
Centroid
CL
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spelling LIS: Localization based on an intelligent distributed fuzzy system applied to a WSNLarios Marín, Diego FranciscoBarbancho Concejero, JulioMolina Cantero, Francisco JavierLeón de Mora, CarlosFuzzy SystemWSNsRSSICentroidCLThe localization of the sensor nodes is a fundamental problem in wireless sensor networks. There are a lot of different kinds of solutions in the literature. Some of them use external devices like GPS, while others use special hardware or implicit parameters in wireless communications. In applications like wildlife localization in a natural environment, where the power available and the weight are big restrictions, the use of hungry energy devices like GPS or hardware that add extra weight like mobile directional antenna is not a good solution. Due to these reasons it would be better to use the localization’s implicit characteristics in communications, such as connectivity, number of hops or RSSI. The measurement related to these parameters are currently integrated in most radio devices. These measurement techniques are based on the beacons’ transmissions between the devices. In the current study, a novel tracking distributed method, called LIS, for localization of the sensor nodes using moving devices in a network of static nodes, which have no additional hardware requirements is proposed. The position is obtained with the combination of two algorithms; one based on a local node using a fuzzy system to obtain a partial solution and the other based on a centralized method which merges all the partial solutions. The centralized algorithm is based on the calculation of the centroid of the partial solutions. Advantages of using fuzzy system versus the classical Centroid Localization (CL) algorithm without fuzzy preprocessing are compared with an ad hoc simulator made for testing localization algorithms. With this simulator, it is demonstrated that the proposed method obtains less localization errors and better accuracy than the centroid algorithm.Junta de Andalucía P07-TIC-02476ElsevierTecnología ElectrónicaJunta de Andalucía2012info:eu-repo/semantics/articleinfo:eu-repo/semantics/submittedVersionapplication/pdfapplication/pdfhttps://hdl.handle.net/11441/77110https://doi.org/10.1016/j.adhoc.2011.11.003reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésAd Hoc Networks, 10 (3), 604-622.P07-TIC-02476https://www.sciencedirect.com/science/article/pii/S1570870511002095info:eu-repo/semantics/openAccessoai:idus.us.es:11441/771102026-06-17T12:51:07Z
dc.title.none.fl_str_mv LIS: Localization based on an intelligent distributed fuzzy system applied to a WSN
title LIS: Localization based on an intelligent distributed fuzzy system applied to a WSN
spellingShingle LIS: Localization based on an intelligent distributed fuzzy system applied to a WSN
Larios Marín, Diego Francisco
Fuzzy System
WSNs
RSSI
Centroid
CL
title_short LIS: Localization based on an intelligent distributed fuzzy system applied to a WSN
title_full LIS: Localization based on an intelligent distributed fuzzy system applied to a WSN
title_fullStr LIS: Localization based on an intelligent distributed fuzzy system applied to a WSN
title_full_unstemmed LIS: Localization based on an intelligent distributed fuzzy system applied to a WSN
title_sort LIS: Localization based on an intelligent distributed fuzzy system applied to a WSN
dc.creator.none.fl_str_mv Larios Marín, Diego Francisco
Barbancho Concejero, Julio
Molina Cantero, Francisco Javier
León de Mora, Carlos
author Larios Marín, Diego Francisco
author_facet Larios Marín, Diego Francisco
Barbancho Concejero, Julio
Molina Cantero, Francisco Javier
León de Mora, Carlos
author_role author
author2 Barbancho Concejero, Julio
Molina Cantero, Francisco Javier
León de Mora, Carlos
author2_role author
author
author
dc.contributor.none.fl_str_mv Tecnología Electrónica
Junta de Andalucía
dc.subject.none.fl_str_mv Fuzzy System
WSNs
RSSI
Centroid
CL
topic Fuzzy System
WSNs
RSSI
Centroid
CL
description The localization of the sensor nodes is a fundamental problem in wireless sensor networks. There are a lot of different kinds of solutions in the literature. Some of them use external devices like GPS, while others use special hardware or implicit parameters in wireless communications. In applications like wildlife localization in a natural environment, where the power available and the weight are big restrictions, the use of hungry energy devices like GPS or hardware that add extra weight like mobile directional antenna is not a good solution. Due to these reasons it would be better to use the localization’s implicit characteristics in communications, such as connectivity, number of hops or RSSI. The measurement related to these parameters are currently integrated in most radio devices. These measurement techniques are based on the beacons’ transmissions between the devices. In the current study, a novel tracking distributed method, called LIS, for localization of the sensor nodes using moving devices in a network of static nodes, which have no additional hardware requirements is proposed. The position is obtained with the combination of two algorithms; one based on a local node using a fuzzy system to obtain a partial solution and the other based on a centralized method which merges all the partial solutions. The centralized algorithm is based on the calculation of the centroid of the partial solutions. Advantages of using fuzzy system versus the classical Centroid Localization (CL) algorithm without fuzzy preprocessing are compared with an ad hoc simulator made for testing localization algorithms. With this simulator, it is demonstrated that the proposed method obtains less localization errors and better accuracy than the centroid algorithm.
publishDate 2012
dc.date.none.fl_str_mv 2012
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/submittedVersion
format article
status_str submittedVersion
dc.identifier.none.fl_str_mv https://hdl.handle.net/11441/77110
https://doi.org/10.1016/j.adhoc.2011.11.003
url https://hdl.handle.net/11441/77110
https://doi.org/10.1016/j.adhoc.2011.11.003
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Ad Hoc Networks, 10 (3), 604-622.
P07-TIC-02476
https://www.sciencedirect.com/science/article/pii/S1570870511002095
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.301603

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