Green Environment Monitoring System (GEMS) for Industries Using Li-Fi Technology
  • Author(s): Siddharth; Gagandeep Singh; Mahesh; Niteshkiran; Prof. Rohini D
  • Paper ID: 1703706
  • Page: 549-552
  • Published Date: 24-07-2022
  • Published In: Iconic Research And Engineering Journals
  • Publisher: IRE Journals
  • e-ISSN: 2456-8880
  • Volume/Issue: Volume 6 Issue 1 July-2022
Abstract

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 ATMEGA328P microcontroller 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 Arduino (ATmega328P) that consumes less power. The designed system provides communication at the rate of 1.5 Mb/s over a distance of 1 meter 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.

Citations

IRE Journals:
Siddharth, Gagandeep Singh, Mahesh, Niteshkiran, Prof. Rohini D "Green Environment Monitoring System (GEMS) for Industries Using Li-Fi Technology" Iconic Research And Engineering Journals Volume 6 Issue 1 2022 Page 549-552

IEEE:
Siddharth, Gagandeep Singh, Mahesh, Niteshkiran, Prof. Rohini D "Green Environment Monitoring System (GEMS) for Industries Using Li-Fi Technology" Iconic Research And Engineering Journals, vol. 6, no. 1, Jul. 2022

APA:
Siddharth, Gagandeep Singh, Mahesh, Niteshkiran, Prof. Rohini D (2022). Green Environment Monitoring System (GEMS) for Industries Using Li-Fi Technology. Iconic Research And Engineering Journals, 6(1).

MLA:
Siddharth, Gagandeep Singh, Mahesh, Niteshkiran, Prof. Rohini D "Green Environment Monitoring System (GEMS) for Industries Using Li-Fi Technology" Iconic Research And Engineering Journals, vol. 6, no. 1, Jul. 2022.

BibTeX

@article{1703706,
author = {Siddharth, Gagandeep Singh, Mahesh, Niteshkiran, Prof. Rohini D},
title = {Green Environment Monitoring System (GEMS) for Industries Using Li-Fi Technology},
journal = {Iconic Research And Engineering Journals},
year = {2022},
volume = {6},
number = {1},
pages = {549-552},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1703706.pdf},
abstract = {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 ATMEGA328P microcontroller 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 Arduino (ATmega328P) that consumes less power. The designed system provides communication at the rate of 1.5 Mb/s over a distance of 1 meter 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.},
month = {July}
}