Abstract
Internet of Things (IoT) is a ubiquitous technology for connecting anything from anywhere impacting the life drastically by expanding its reach in economical, commercial and social areas. In this paper authors used NodeMcu ESP 8266 microcontroller for modelling automated system by embedding wifi moduled. The light intensity is continuously captured and is transmitted over cloud network. The captured data is then used for analysing voltage fluctuations using python. The automated system works according to the intensity of light, if the light intensity falling on light dependent resistor (Ldr) is low then light emitting diode will switch on and if the light intensity falling on light dependent resistor (Ldr) is high then the light emitting diode will remain off making system energy efficient which works automatically according to the light intensity.
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References
Jian A, Xiao LG, Xin H (2012) Study on the architecture and key technologies for internet of things. Adv Biomed Eng 11:329–335
Zhang Y (2011) Technology framework of the internet of things and its application. In: Electrical and Control Engineering (ICECE), pp 4109–4112
Sahtyawan R, Wicaksono AI (2020) Application for control of distance lights using microcontroller Nodemcu Esp 8266 based on internet of things (IoT). Compiler 9(1):43–50
Hussain F, Hussain R, Hassan AS, Hossain E (2020) Machine learning in IoT security: current solutions and future challenges. Commun Surv Tutor 22:298–444
Bhatnagar V, Ranjan J, Singh R (2011) Real time analysis on finding the significance of DM on CRM of service sector organizations: an Indian perspective. Int J Electron CRM (IJECRM) 5(2):171–201
Ngu AH, Gutierrez M, Metsis V, Nepal S, Sheng QZ (2016) IoT middleware: a survey on issues and enabling technologies. Internet Things J 4(1):1–20
Alrawi O, Lever C, Antonakakis M, Monrose F (2019) Sok: security evaluation of home-based iot deployments. In: Symposium on security and privacy (SP), pp 1362–1380
Seok B, Park J, Park JH (2019) A lightweight hash-based blockchain architecture for industrial IoT. Appl Sci 9(18):37–40
Dwivedi AD, Srivastava G, Dhar S, Singh R (2019) A decentralized privacy-preserving healthcare blockchain for IoT. Sensors 19(2):320–326
Chen S, Xu H, Liu D, Hu B, Wang H (2014) A vision of IoT: applications, challenges, and opportunities with china perspective. Internet Things J 1(4):349–359
He C, Xin C (2020) Application and strategy of internet of things (IOT) in college education informationization. In: Data processing techniques and applications for cyber-physical systems, pp 1089–1097
Praba TS, Laxmi SP, Sethukarasi T, Harshitha RD, Venkatesh V (2020) Green IoT (G-IoT): an insight on green computing for greening the future. In: Advances in greener energy technologies, pp 579–600
Cao Y, Li W, Zhang J (2011) Real-time traffic information collecting and monitoring system based on the internet of things. Pervasive Comput Appl (ICPCA) 45–49
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Shyla, Bhatnagar, V. (2021). Internet of Things (IoT) Based Automated Light Intensity Model Using NodeMcu ESP 8266 Microcontroller. In: Choudhary, A., Agrawal, A.P., Logeswaran, R., Unhelkar, B. (eds) Applications of Artificial Intelligence and Machine Learning. Lecture Notes in Electrical Engineering, vol 778. Springer, Singapore. https://doi.org/10.1007/978-981-16-3067-5_3
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DOI: https://doi.org/10.1007/978-981-16-3067-5_3
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