• DocumentCode
    3733848
  • Title

    Connectivity in IoT indoor lighting systems with visible light communications

  • Author

    Kevin Warmerdam;Ashish Pandharipande;David Caicedo

  • Author_Institution
    Philips Research, High Tech Campus, Eindhoven, The Netherlands
  • fYear
    2015
  • Firstpage
    47
  • Lastpage
    52
  • Abstract
    An Internet of Things (IoT) indoor lighting system that consists of multiple luminaires with an IP address, sensors and controllers is considered. The sensors provide sensing information for controlling artificial lighting system and additionally serve as a data source for other building systems and services. In this paper, we consider visible light communication (VLC) among sensors and luminaires for providing connectivity across these elements. Such connectivity enables data access via the luminaires that have a unique IP address. To enable connected applications such as lighting control and device positioning, we propose methods for estimating the optical channel gains and daylight contribution. Analytical results on packet error rate of VLC communication and estimation performance are obtained and verified with simulations and experiments in an office lighting testbed.
  • Keywords
    "Lighting","Optical sensors","Channel estimation","Estimation","Adaptive optics","Light emitting diodes"
  • Publisher
    ieee
  • Conference_Titel
    Green Communications (OnlineGreenComm), 2015 IEEE Online Conference on
  • Type

    conf

  • DOI
    10.1109/OnlineGreenCom.2015.7387378
  • Filename
    7387378