{"title":"IoT for Real Time Presence Sensing on the 5G EVE Infrastructure","authors":"Riccardo Rusca, C. Casetti, P. Giaccone","doi":"10.1109/MedComNet52149.2021.9501245","DOIUrl":null,"url":null,"abstract":"One of the most widely advertised capabilities of 5G targets the massive Machine-Type Communication (mMTC) giving the development of Internet of Things (IoT) solutions center stage in the new generation of mobile networks. In this paper, we address the possibility of detecting people on city streets thanks to deployment of commercial sensors, connected to the 5G network, that capture WiFi probes transmitted by people's smart devices. We first outline the motivation of such a scenario. Then, we illustrate our implemented architecture and present the results detected in an area near the Politecnico di Torino within the 5G EVE H2020 project. We show that our architecture can monitor real-time data coming from the installed sensors and thus estimate the number of people present in an area by simply collecting anonymized MAC addresses and timestamps from smart devices of passers-by.","PeriodicalId":272937,"journal":{"name":"2021 19th Mediterranean Communication and Computer Networking Conference (MedComNet)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 19th Mediterranean Communication and Computer Networking Conference (MedComNet)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MedComNet52149.2021.9501245","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
One of the most widely advertised capabilities of 5G targets the massive Machine-Type Communication (mMTC) giving the development of Internet of Things (IoT) solutions center stage in the new generation of mobile networks. In this paper, we address the possibility of detecting people on city streets thanks to deployment of commercial sensors, connected to the 5G network, that capture WiFi probes transmitted by people's smart devices. We first outline the motivation of such a scenario. Then, we illustrate our implemented architecture and present the results detected in an area near the Politecnico di Torino within the 5G EVE H2020 project. We show that our architecture can monitor real-time data coming from the installed sensors and thus estimate the number of people present in an area by simply collecting anonymized MAC addresses and timestamps from smart devices of passers-by.
5G最广为人知的功能之一是针对大规模机器类型通信(mMTC),使物联网(IoT)解决方案的发展成为新一代移动网络的中心舞台。在本文中,我们通过部署连接到5G网络的商用传感器,捕捉人们智能设备传输的WiFi探测器,解决了在城市街道上探测人的可能性。我们首先概述这种情况的动机。然后,我们展示了我们实现的架构,并展示了在都灵理工大学附近的5G EVE H2020项目中检测到的结果。我们展示了我们的架构可以监控来自安装的传感器的实时数据,从而通过简单地从路人的智能设备收集匿名MAC地址和时间戳来估计一个区域内的人数。