A Prototype of Wireless Networked IoT Based Lighting Control in Open Platform

Author(s): Sanjeev Kumar T.M, Ciji P. Kurian*, Susan Varghese, Anil Upadhyaya, Anupriya John, Varsha Nayak

Journal Name: Recent Advances in Electrical & Electronic Engineering
Formerly Recent Patents on Electrical & Electronic Engineering

Volume 13 , Issue 3 , 2020

Become EABM
Become Reviewer
Call for Editor

Graphical Abstract:


Background: The lighting researchers are keenly looking for the huge benefits of the internet of things on an open platform which provides the cost gains in addition to other environmental benefits. Connected systems interact with the software and analyse real-time building conditions, and feed information into the building controls network.

Methods: This paper presents a wireless networked system for lighting control in buildings which connect the power of the Internet of Things. After analysing the ZigBee network on QualNet v7.4, a Digi Mesh network was set up using XBee modules using the XBee Configuration and Test Utility [XCTU] Software v6.3.11. The ThingSpeak cloud platform along with MATLAB 2017b provides the necessary cloud support to enable this network to communicate over the internet. The results indicate that the XBee S2C module functioning in the API mode when flashed with the DigiMesh firmware offers the best option for forming a self-healing mesh network. An aggregator node acts as an information sink and collects the sensor data from all the sensor nodes and passes it on to the cloud via the Raspberry gateway.

Results: The algorithm on the cloud can read this sensor data and compute the necessary Pulse Width Modulation [PWM] signals required to control the brightness of a dimmable LED luminaire. The system also takes into consideration the zone-wise occupancy in the room while computing the PWM values to be sent to the luminaires.

Conclusion: The use of the concept of open platform sensors and actuators is the significance of the work.

Keywords: ZigBee network, mesh network, DigiMesh, cloud platform, wireless lighting control, sensors.

"XBee Website. Zigbee Networking", Available online:, www.digi.com (accessed on 25 December 2017).
A. Glória, F. Cercas, and N. Souto, "Comparison of communication protocols for low-cost internet of things devices", In: Computer Networks and Social Media Conference., SEEDA-CECNSM: Kastoria, Greece, 2017, pp. 1-6.
A.A.N. Kumaar, G. Kiran, and T.S.B. Sudarshan, "“Intelligent lighting system using wireless sensor networks”, Inter. J.Ad hoc", Sensor Ubiquitous Comput. (IJASUC), vol. 1, no. 4, pp. 17-27, 2010.
M.V. Urgiles, P.E. Arpi, and D.P. Chacon-Troya, "Lighting control actuator design and development for a ZigBee network with a Web server mounted on Raspberry Pi", In: IEEE International Conference on Automation Science and Engineering (CASE), Gothenburg, Sweden, 2015, pp. 714-719.
F.A. Obaidy, H. Zereshkian, and F.A. Mohammadi, "A energy-efficient routing algorithm in ZigBee-based cluster tree wireless sensor networks", In: IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE), Windsor, Ontario, Canada, 2017, pp. 1-5.
J. Gifty, J. Deva, and K. Sumathi, "ZigBee wireless sensor network simulation with various topologies", In: Proceedings of IEEE Online International Conference on Green Engineering and Technology (IC-GET), Coimbatore, Tamil Nadu, India, 2016, pp. 1-6.
"Lighting controls association website. LED Controls", Available online, http://lightingcontrolsassociation.org/2018/05/25/rebates-for-controls-going-strong/ (accessed on 18 February 2018).
D. Pavithra, and B. Ranjith, "IoT based monitoring and control system for home automa-tion", In: IEEE Global Conference on Communication Technologies (GCCT), Tamil Nadu, India, 2015, pp. 169-173.
V. Vujovic, and M. Maksimovic, "Raspberry Pi as a Sensor Web node for home automation", Comput. Electr. Eng., vol. 44, pp. 153-171, 2015.
D. Minoli, K. Sohraby, and B. Occhiogrosso, "iot considerations, requirements, and architectures for smart buildings-energy optimization and next-generation building management systems", IEEE Internet Things J., vol. 4, no. 1, pp. 269-283, 2017.
G.M. Toschi, L.B. Campos, and C.E. Cugnasca, "Home automation networks: A survey", Comput. Stand. Interfaces, vol. 50, pp. 42-54, 2017.
A. Kumar, and G.P. Hancke, "An energy-efficient smart comfort sensing system based on the IEEE 1451 Standard for green buildings", IEEE Sens. J., vol. 14, no. 12, pp. 4245-4252, 2014.
S. Tang, V. Kalavally, K.Y. Ng, and J. Parkkinen, "Development of a prototype smart home intelligent lighting control architecture using sensors onboard a mobile computing system", Energy Build., vol. 138, pp. 368-376, 2017.
A. Javed, H. Larijani, and A. Ahmadinia, Informatics (MDPI), vol. 13, no. 1, pp. 351-360, 2017.
Z. Lima, H. García-Vázquez, R. Rodríguez, S.L. Khemchandani, F. Dualibe, and J. del Pino, "A system for controlling and monitoring IoT applications", Appl. Syst. Innov., vol. 1, no. 3, pp. 26-33, 2018.

Rights & PermissionsPrintExport Cite as

Article Details

Year: 2020
Published on: 17 May, 2020
Page: [405 - 416]
Pages: 12
DOI: 10.2174/2352096512666190123125600
Price: $25

Article Metrics

PDF: 7