DevLoc: Seamless device association using light bulb networks for indoor iot environments

Michael Haus, Jorg Ott, Aaron Yi DIng

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

For indoor IoT environments, spontaneous device associations are of particular interest where users establish a connection in an ad-hoc manner to enable serendipitous interaction. For instance, between a user's personal device and devices the user encounters in the surrounding environment. Our system for device grouping named DevLoc takes advantage of ubiquitous light sources around us to perform continuous device grouping based on the similarity of light signals. To control the spatial granularity of user's proximity, we provide a configuration framework to manage the lighting infrastructure through customized visible light communication. We support two modes of device associations to achieve a binding between different entities: device-to-device and device-to-area allowing either proximity-based or location-based services. Our device grouping includes several methods where in general the machine learning based signal similarity performs best compared to distance and correlation metrics.

Original languageEnglish
Title of host publicationProceedings - 5th ACM/IEEE Conference on Internet of Things Design and Implementation, IoTDI 2020
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages231-237
ISBN (Electronic)9781728166025
DOIs
Publication statusPublished - 2020
Event5th ACM/IEEE Conference on Internet of Things Design and Implementation, IoTDI 2020 - Sydney, Australia
Duration: 21 Apr 202024 Apr 2020

Conference

Conference5th ACM/IEEE Conference on Internet of Things Design and Implementation, IoTDI 2020
CountryAustralia
CitySydney
Period21/04/2024/04/20
OtherVirtual/online event due to COVID-19

Keywords

  • Machine learning approaches
  • Mobile ad hoc networks
  • Network services
  • Similarity measures
  • Ubiquitous and mobile devices

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