Implementation of Smart LED Lighting and Efficient Data Management System for Buildings

Arun Kumar, Pushpendu Kar, Rakesh Warrier, Aditi Kajale, Sanjib Kumar Panda

Research output: Journal PublicationConference articlepeer-review

32 Citations (Scopus)


Recent studies have shown that energy-efficient smart LED lighting systems provide a better visual comfort-working environment at a reduced energy consumption compared to existing lighting systems. Present daylighting systems are able to regulate the light intensities via communication technologies utilizing smart sensors. This paper presents implementation of a smart LED lighting system utilizing different energy-efficient techniques without compromising the visual comfort of occupants. The proposed lighting system uses ZigBee and Wi-Fi communication protocols to control the lights of commercial/residential buildings according to natural daylight, occupancy or as per the requirements of the inhabitants of the building. The lighting system can be operated in three different modes: Manual, Auto, and Hybrid to account for various applications. A wireless sensor and actuator network (WSAN) is used to collect available data, regarding the usage of personalised smart LED lights by occupants in the building. A complete design and implementation of the smart lighting system are presented in the paper. The paper also presents the detailed test-bed implementation of the proposed smart lighting technique and data management system to illustrate the impact of the proposed lighting system on energy consumption and occupants' visual satisfaction. The proposed lighting system aims to reduce energy consumption by 60-70% compared to the existing lighting system while satisfying the visual comfort of the occupants. The proposed work also suggests the guidelines to incorporate intelligence into the system such that it can automatically predict the occupant preferences in a decentralized framework for better visual comfort and improved energy utilization in existing buildings.

Original languageEnglish
Pages (from-to)173-178
Number of pages6
JournalEnergy Procedia
Publication statusPublished - 2017
Externally publishedYes
Event1st Joint Conference on World Engineers Summit - Applied Energy Symposium and Forum: Low Carbon Cities and Urban Energy, WES-CUE 2017 - Singapore, Singapore
Duration: 19 Jul 201721 Jul 2017


  • actuator network
  • automatic control
  • database management system
  • personal
  • visual comfort
  • wireless sensor

ASJC Scopus subject areas

  • Energy (all)


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