Publication
Indoor location estimation based on diffused beacon network
| dc.contributor.author | Mendes, Andre C. | |
| dc.contributor.author | Diaz-Cacho, Miguel | |
| dc.date.accessioned | 2022-04-05T08:32:21Z | |
| dc.date.available | 2022-04-05T08:32:21Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | This work investigates the problem of location estimation in indoor Wireless Sensor Networks (WSN) where precise, discrete and low-cost independent self-location is a critical requirement. The indoor scenario makes explicit measurements based on specialised location hardware, such as the Global Navigation Satellite System (GNSS), difficult and not practical, because RF signals are subjected to many propagation issues (reflections, absorption, etc.). In this paper, we propose a low-cost effective WSN location solution. Its design uses received signal strength for ranging, lightweight distributed algorithms for location computation, and the collaborative approach to delivering accurate location estimations with a low number of nodes in predefined locations. Through real experiments, our proposal was evaluated and its performance compared with other related mechanisms from literature, which shows its suitability and its lower average location error almost of the time. | pt_PT |
| dc.description.sponsorship | This work has been conducted under the project “BIOMA – Bioeconomy integrated solutions for the mobilization of the Agri-food market” (POCI-01-0247-FEDER-046112), by “BIOMA” Consortium, and financed by European Regional Development Fund (FEDER), through the Incentive System to Research and Technological development, within the Portugal2020 Competitiveness and Internationalization Operational Program. This work has also been supported by FCT - Fundação para a Ciência e Tecnologia within the Project Scope: UIDB/05757/2020. | pt_PT |
| dc.description.version | info:eu-repo/semantics/publishedVersion | pt_PT |
| dc.identifier.citation | Mendes, Andre C.; Diaz-Cacho, Miguel (2021). Indoor location estimation based on diffused beacon network. In Pereira, Ana I.; Fernandes, Florbela P.; Coelho, João Paulo; Teixeira, João Paulo; Pacheco, Maria F.; Alves, Paulo; Lopes, Rui Pedro (Eds.) Optimization, learning algorithms and applications: first International Conference, OL2A 2021. Cham: Springer Nature. p. 294-308. ISBN 978-3-030-91884-2 | pt_PT |
| dc.identifier.doi | 10.1007/978-3-030-91885-9_21 | pt_PT |
| dc.identifier.isbn | 978-3-030-91884-2 | |
| dc.identifier.uri | http://hdl.handle.net/10198/25333 | |
| dc.language.iso | eng | pt_PT |
| dc.peerreviewed | yes | pt_PT |
| dc.publisher | Springer Nature | pt_PT |
| dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
| dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | pt_PT |
| dc.subject | Indoor location | pt_PT |
| dc.subject | Beacon | pt_PT |
| dc.subject | ESP8266 | pt_PT |
| dc.subject | Mobile application | pt_PT |
| dc.title | Indoor location estimation based on diffused beacon network | pt_PT |
| dc.type | conference object | |
| dspace.entity.type | Publication | |
| oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F05757%2F2020/PT | |
| oaire.citation.conferencePlace | Bragança | pt_PT |
| oaire.citation.endPage | 308 | pt_PT |
| oaire.citation.startPage | 294 | pt_PT |
| oaire.citation.title | Optimization, learning algorithms and applications: first International Conference, OL2A 2021 | pt_PT |
| oaire.citation.volume | 1488 | pt_PT |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| person.familyName | Mendes | |
| person.givenName | Andre C. | |
| person.identifier.ciencia-id | 6718-7AE9-0953 | |
| person.identifier.orcid | 0000-0001-6390-1250 | |
| person.identifier.scopus-author-id | 54920397900 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| rcaap.rights | restrictedAccess | pt_PT |
| rcaap.type | conferenceObject | pt_PT |
| relation.isAuthorOfPublication | 469e664f-f0ce-4ccf-a00d-21c086996765 | |
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