Vita: A Versatile Toolkit for Generating Indoor Mobility Data for Real-World Buildings

Huan Li, Hua Lu, Xin Chen, Gang Chen, Ke Chen, Lidan Shou

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Abstract

We demonstrate a generic, user-configurable toolkit for generating different types of indoor mobility data for real-world buildings. Our prototype generates the desired data in a three-layer pipeline. The Infrastructure Layer accepts industry-standard digital building information (DBI) files to generate the host indoor environment, allowing users to configure the generation of a variety of positioning devices, such as Wi-Fi, Bluetooth, RFID, etc. The Moving Object Layer offers the functionality of defining objects or trajectories, with configurable indoor moving patterns, distribution models, and sampling frequencies. The Positioning Layer generates synthetic signal strength measurements known as raw RSSI1 measurements according to the positioning device data and trajectory data generated at relevant layers. It also generates different types of indoor positioning data through the customization of all typical indoor positioning methods on the raw RSSI data.
OriginalsprogEngelsk
TidsskriftProceedings of the VLDB Endowment
Vol/bind9
Udgave nummer13
Sider (fra-til)1453-1456
Antal sider4
ISSN2150-8097
DOI
StatusUdgivet - 2016
Udgivet eksterntJa
Begivenhed42nd International Conference on Very Large Data Bases - New Delhi, Indien
Varighed: 5 sep. 20169 sep. 2016
http://www.wikicfp.com/cfp/servlet/event.showcfp?eventid=48650

Konference

Konference42nd International Conference on Very Large Data Bases
LandIndien
ByNew Delhi
Periode05/09/201609/09/2016
Internetadresse

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