LED Blink/Fade with Node MCU
Keywords:
Internet of things (IoT), Light Emitting Diodes (LED), Microcontroller, Node MCU, ProcessorsAbstract
We all are living in the modern era of science and technology. Things are changing day by day, everything is becoming automatic and robotic day by day life goes on LED’s (light emitting diodes). In this paper we discussed the LED blink using node MCU and that Server is an open software platform that runs on the ESP8266 that allows things to be connected and messages to be transferred using the Wi-Fi network. Furthermore, it may solve most of those developer's demands on its own by supplying many of the most application points of embedded devices such as GPIO(general purpose input /output), PWM (pulse width modulation) and so on.Internet of things (IoT) refers to the tangible items some of which are networked, processor speed, algorithms, and some other techniques, and this also interface to something and transfer information between computers and applications well over World wide web.Because of confluence of network technologies, such as cognitive computing, affordable sensors, more popular internet of things IoT, and advanced analytics, the area has progressed. In this paper we are blinking the LED with the help of a node MCU that is further connected to Wi-Fi and IoT. The future scope of this study is LED light output will continue to improve in the future, allowing mass–market general illumination applications from around 2016. Over the next two to three years, effective generic LED solutions to replace incandescent lamps will arrive on the market, although they will be somewhat pricey at first.
Downloads
References
P. Jägerset al., “Social signaling via bioluminescent blinks determines nearest neighbor distance in schools of flashlight fish Anomalopskatoptron,” Sci. Rep., 2021, doi: 10.1038/s41598-021-85770-w.
R.-W. Bello and D. A. Olubummo, “Simplified Traffic Lights Using 8051 Maxim DS89C4XX Embedded Controller (MDE),” Asian J. Math. Sci., 2019.
C. Ahlström, R. Zemblys, H. Jansson, C. Forsberg, J. Karlsson, and A. Anund, “Effects of partially automated driving on the development of driver sleepiness,” Accid. Anal. Prev., 2021, doi: 10.1016/j.aap.2021.106058.
L. Gonzalez-Manzano, S. Bernardez, and J. M. De Fuentes, “SmartLED: Smartphone-based covert channels leveraging the notification LED,” 2020, doi: 10.1109/TrustCom50675.2020.00240.
M. Kanemoto, K. Yoshida, F. Nishimura, H. Nishikawa, A. Tanaka, and T. Douseki, “Ultrasmall-button-shaped rectifier module tied with conductive-yarn antenna for wearable accessories powered by microwaves,” 2020, doi: 10.1109/WPTC48563.2020.9295621.
A. Murata, T. Takamoto, and M. Moriwaka, “Ocular movement characteristics to LED lights with high luminous intensity,” 2016, doi: 10.1007/978-3-319-41983-1_44.
Y. Okada, J. Jung, and T. Kobayashi, “An automatic identification and removal method for eye-blink artifacts in event-related magnetoencephalographic measurements,” Physiol. Meas., 2007, doi: 10.1088/0967-3334/28/12/006.
L. Audin, “LED blinks in the spotlight,” Eng. Syst., 2007. [9] R. N. A. Raja Yunus, M. Jamian, N. I. Nik Ramli, and M. R.Elias, IoT bagimemantau kualiti air,” ANP J. Soc. Sci. Humanit., 2020, doi: 10.53797/anpjssh.v1i1.4.2020. [10] K. A. Kumar, P. G. Pavithran, and S. Bagyaraj, “Design
and development of command prompt assist device for locked in syndrome patients,” in Smart Healthcare for Disease Diagnosis and Prevention, 2020.
