Utilize este identificador para referenciar este registo:
http://hdl.handle.net/10071/26037
Registo completo
Campo DC | Valor | Idioma |
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dc.contributor.author | Silva, R. D. | - |
dc.contributor.author | Marinheiro, R. N. | - |
dc.contributor.author | Abreu, F. B. | - |
dc.date.accessioned | 2022-08-29T14:46:19Z | - |
dc.date.available | 2022-08-29T14:46:19Z | - |
dc.date.issued | 2019 | - |
dc.identifier.citation | Silva, R. D., Marinheiro, R. N., & Abreu, F. B. (2019). Crowding detection combining trace elements from heterogeneous wireless technologies. Em 2019 22nd International Symposium on Wireless Personal Multimedia Communications (WPMC) (pp. 1-6). IEEE. https://dx.doi.org/10.1109/WPMC48795.2019.9096131 | - |
dc.identifier.isbn | 978-1-7281-5419-0 | - |
dc.identifier.issn | 1347-6890 | - |
dc.identifier.uri | http://hdl.handle.net/10071/26037 | - |
dc.description.abstract | Non-invasive crowding detection in quasi-real-time is required for a number of use cases, such as for mitigating tourism overcrowding. The present goal is a low-cost crowding detection technique combining personal trace elements obtained from heterogeneous wireless technologies (4G, 3G, GSM, Wi- Fi and Bluetooth) supported by mobile devices carried by most people. This work proposes detection nodes containing Raspberry-Pi boards equipped with several off-the-shelf Software Defined Radio (SDR) dongles. Those nodes perform spectrum analysis on the bands corresponding to the aforementioned wireless technologies, based on several open source software components. The outcome of this edge computing, performed in each node, is integrated in a cloud server using a Long Range Wide Area Network (LoRaWAN), a recent technology developed for IoT applications. Our preliminary results show that is possible to determine the number of mobile devices in the vicinity of each node, by combining information from several wireless technologies, each with its own detection range and precision. | eng |
dc.language.iso | eng | - |
dc.publisher | IEEE | - |
dc.relation | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FEEA%2F50009%2F2019/PT | - |
dc.relation | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UID%2FMulti%2F04466%2F2019/PT | - |
dc.relation.ispartof | 2019 22nd International Symposium on Wireless Personal Multimedia Communications (WPMC) | - |
dc.rights | openAccess | - |
dc.subject | Crowding detection | eng |
dc.subject | 4G | eng |
dc.subject | 3G | eng |
dc.subject | GSM | eng |
dc.subject | Wi-Fi | eng |
dc.subject | Bluetooth | eng |
dc.subject | SDR | eng |
dc.subject | LoRaWAN | eng |
dc.title | Crowding detection combining trace elements from heterogeneous wireless technologies | eng |
dc.type | conferenceObject | - |
dc.event.title | 22nd International Symposium on Wireless Personal Multimedia Communications, WPMC 2019 | - |
dc.event.type | Conferência | pt |
dc.event.location | Lisbon, Portugal | eng |
dc.event.date | 2019 | - |
dc.peerreviewed | yes | - |
dc.date.updated | 2022-08-29T15:43:47Z | - |
dc.description.version | info:eu-repo/semantics/acceptedVersion | - |
dc.identifier.doi | 10.1109/WPMC48795.2019.9096131 | - |
dc.subject.fos | Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação | por |
dc.subject.fos | Domínio/Área Científica::Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática | por |
iscte.subject.ods | Indústria, inovação e infraestruturas | por |
iscte.subject.ods | Cidades e comunidades sustentáveis | por |
iscte.identifier.ciencia | https://ciencia.iscte-iul.pt/id/ci-pub-61777 | - |
iscte.alternateIdentifiers.wos | WOS:000587757300041 | - |
Aparece nas coleções: | ISTAR-CRI - Comunicações a conferências internacionais |
Ficheiros deste registo:
Ficheiro | Tamanho | Formato | |
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conferenceObject_61777.pdf | 5,34 MB | Adobe PDF | Ver/Abrir |
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