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Publication Detailed Description
2019 22nd International Symposium on Wireless Personal Multimedia Communications (WPMC)
Year (definitive publication)
2019
Language
English
Country
Portugal
More Information
Web of Science®
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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.
Acknowledgements
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Keywords
Crowding detection,4G,3G,GSM,Wi-Fi,Bluetooth,SDR,LoRaWAN
Fields of Science and Technology Classification
- Computer and Information Sciences - Natural Sciences
- Electrical Engineering, Electronic Engineering, Information Engineering - Engineering and Technology
Funding Records
| Funding Reference | Funding Entity |
|---|---|
| UID/EEA/50009/2019 | Fundação para a Ciência e a Tecnologia |
| UID/Multi/04466/2019 | Fundação para a Ciência e a Tecnologia |
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