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Green Environment Monitoring System (Gems) for Industries using Li-Fi Technology


  • School of Computing, SASTRA University, Thanjavur - 613401, Tamil Nadu, India


Objective: This work assures to design a green environment monitoring system for industries using Li-Fi technology to provide secured communication, high data rate transfer and pollution free environment. Methods: The LPC 2148 microcontroller with ARM 7 core is chosen for implementation. Light-emitting diodes are used as the source for data transmission and they are preferred as they have a longer life-time. Different sensors are deployed to monitor various parameters namely temperature, Gas and light intensity in an industrial environment and these sensors transmit the sensed information using Li-Fi technology in terms of flickering of LEDs. Linear quadratic estimation algorithm is implemented to improve the accuracy of sensor values. Findings: The proposed system is implemented in ARM 7 Core (LPC2148) that consumes less power. The designed system provides communication at the rate of 1.5 Mb/s over a distance of 5 meters and they are free from electromagnetic interference. They are not affected by artificial or natural light sources. Improvement/Applications: The implementation of Linear Quadratic estimator improved the accuracy of sensor output values. This technology is eco-friendly and the working atmosphere is conserved thereby ensuring a green environment. The sensors used in industrial applications communicate with low cost and also in a secured manner.


Industrial Environment Monitoring, Li-Fi, Light Emitting Diodes, Photo Detectors, Visible Light Communication.

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  • Jennifer JL, Jayanthy S, Sujitha J. Li-Fi technology based fleet vanguard and security. Indian Journal of Science and Technology. 2016 Mar; 9(11):1–5.
  • Chi Q, Yan H, Zhang C, Pang Z, Xu LD. A reconfigurable smart sensor interface for industrial WSN in IoT environment.IEEE Transaction on Industrial Informatics. 2014 May; 10(2):1417–25.
  • Wang Z, Tsonev D, Videv S, Haas H. On the design of a solarpanel receiver for optical wireless communications with simultaneous energy harvesting. IEEE Journal on selected areas on communication. 2015 Aug; 33(8):1612–23.
  • Quintana C, Guerra V, Rufo J, Rabadan J, Perez-Jimenez R.Reading lamp-based visible light communication system for in-flight entertainment. IEEE Transactions on Consumer Electronics. 2013 Feb; 59(1):31–7.
  • Dynamic load balancing with handover in hybrid Li-Fi and Wi-Fi networks. 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communication (PIMRC), 2014 Sep 2–5; 2015 Jun.
  • Oikonomoua P, Botsialasa A, Olzierskya C A, KazasbI, Stratakosd I, Katsikasd S, Dimasd D, Mermiklid K, Sotiropoulose G, Goustouridisc D, Raptisc I, Sanopoulouaa M. A wireless sensing system for monitoring the workplace environment of an industrial installation. Sensors and Actuators B Chemical. 2016 Mar; 224:266–74.
  • Tiwari SV, Sewaiwar A, Chung YH. Color coded multiple access scheme for bidirectional multiuser visible light communications in smart home technologies. Optics Communications.2015 Oct; 353:1–5.
  • Chen SH, Chow CW. Differential signaling spread-spectrum modulation of the LED visible light wireless communications using a mobile-phone camera. Optics Communications.2015 Feb; 36:240–42.
  • Mangir T, Sarakbi L, Younan H. Analyzing the impact of Wi-Fi interference on ZigBee networks based on real time experiments. International Journal of Distributed and Parallel Systems. 2011 Jul; 2(4):1–10.
  • Liang CJM, Priyantha NB, Liu J, Terzis A. surviving Wi-Fi Interference in low power ZigBee networks. 8th ACM Conference on Embedded Networked System, New York, USA;2010 Nov. p. 309–22.


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