Artifact: The Feasibility of Dense Indoor LoRaWAN Towards Passively Sensing Human Presence

Autor:	Didier Helal, Robert W. Sumner, Jascha Grübel, Tyler Thrash, Victor R. Schinazi, Christoph Hölscher
Jazyk:	angličtina
Rok vydání:	2021
Předmět:	Data set Metadata Artifact (error) Ubiquitous computing Transmission (telecommunications) Computer science Real-time computing Long range wide area network Wireless sensor network LoRaWAN Dense Indoor Sensor Network Transmission Metadata Dataset
Zdroj:	2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops) PerCom Workshops
Popis:	We present a large data set of 14 million entries of indoor Long Range Wide Area Network (LoRaWAN) transmission metadata to study Dense Indoor Sensor Networks (DISN)[1]. We also provide a mixed model implementation in an R-Markdown file for analyzing the transmissions based on the metadata to obtain all transmission-related results of the main paper. The data set will regularly expand as the system continues to collect data until at least 2022.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::344752333f030bc69f8c6b1c7c671a7b https://hdl.handle.net/20.500.11850/487386 Zobrazit plný text záznamu