Occupancy analytics using RSSI information on wireless lighting systems

Kevin Warmerdam, Ashish Pandharipande

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

Abstract

Occupancy analytics refers to statistical analysis related to occupancy of users in a building to derive information and insights based on which control and management of building systems may be improved. We consider the use of a wireless sensors infrastructure in a lighting system to derive occupancy analytics. Specifically, radio received signal strength indicator (RSSI) values at wireless motion and light sensors are used that result from transmissions of user devices. Statistical methods are proposed to derive occupancy metrics: occupancy density, area usage, and occupant dwell times. We evaluate the performance of the proposed approach using an open-plan office wireless lighting control model.

Original languageEnglish
Title of host publicationProceeding - 2015 IEEE International Conference on Industrial Informatics (INDIN) : Robinson College, Cambridge, United Kingdom, 22-24 July 2015
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages56-61
Number of pages6
ISBN (Electronic)9781479966493
DOIs
Publication statusPublished - 28 Sep 2015
Externally publishedYes
Event13th International Conference on Industrial Informatics (INDIN 2015) - Robinson College, Cambridge, United Kingdom
Duration: 22 Jul 201524 Jul 2015
Conference number: 13

Conference

Conference13th International Conference on Industrial Informatics (INDIN 2015)
Abbreviated titleINDIN2015
CountryUnited Kingdom
CityCambridge
Period22/07/1524/07/15

Keywords

  • Occupancy analytics
  • RSSI positioning
  • wireless lighting control systems

Fingerprint Dive into the research topics of 'Occupancy analytics using RSSI information on wireless lighting systems'. Together they form a unique fingerprint.

Cite this