Comunicação em evento científico
Crowding Detection Combining Trace Elements from Heterogeneous Wireless Technologies
Ruben Dias da Silva (Silva, R. D. ); Rui Neto Marinheiro (Marinheiro, R. N.); Fernando Brito e Abreu (Brito e Abreu, F.);
Título Evento
Wireless Personal Multimedia Communications (WPMC), International Symposium on
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Web of Science®

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(Última verificação: 2021-04-12 16:50)

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N.º de citações: 0

(Última verificação: 2021-04-09 12:53)

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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.
Crowding Detection,4G,3G,GSM,Wi-Fi,Bluetooth,SDR,LoRaWAN
  • Ciências Físicas - Ciências Naturais
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