Abstract
IoT means devices or things connected over internet. With the rapid improvements in IoT heading in the direction of virtual generation, wherein device-to-device interplay takes area with the assist of the Internet of Things. The house equipment inside the house, workplace, and enterprise have become clever each day. This paper includes manipulation of home equipment and the use of voice indoor, while in out of doors, it manipulates the use of MQTT. The gadgets can engage, and standing may manage the use of a messaging carrier referred to as Telegram. Open-supply hardware includes Raspberry Pi to interface the home equipment inside the home. To execute a home mechanization, one should examine the inner parts of the equipment, which could not be conceivable by exclusive equipment. So, this paper is an opportunity and picked open equipment for the usage of an occurrence of uses of IoT. Pi sheets are practical and simple to execute. Upon few programming guidelines, the Pi board would fill in according to the directions with the associated gadgets. This paper includes a Pi board with “Telegram Bot” to send the IoT programming to detect and express moistness in an area.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Alkar Z, Buhur U (2005) An internet based wireless home automation system for multifunctional devices. IEEE Trans Consum Electron 51(4):1169–1174
Zhao Y, Ye, Z (2008) A low cost GSM/GPRS based wireless home security system. IEEE Trans Consum Electron 54(2)
Zeng X, Fapojuwo AO, Robert J (2007) Design and performance evaluation of voice activated wireless home devices. IEEE Trans Consum Electron 52(31):983–989
Ahmed SM, Kovela B, Gunjan VK (2020) IoT based automatic plant watering system through soil moisture sensing—a technique to support. Adv Cybern, Cognit Mach Learn Commun Technol 643:259
Anvekar RG, Banakar RM (2017) IOT application development: home security system. In: IEEE technological innovations in ICT for agriculture and rural development (TIAR 2017), Apr 7–8, 2017, Chennai, India, pp 68–72
Rakesh VS, Sreesh PR, George SN (2012) An improved real-time surveillance system for home security system using BeagleBoard SBC, Zigbee and FTP webserver. IEEE Int Con 1240–1244
Gaddam DKR, Ansari MD, Vuppala S, Gunjan VK, Sati MM (2022) A performance comparison of optimization algorithms on a generated dataset. In: ICDSMLA 2020, pp 1407–1415. Springer, Singapore
Ansari AN, Sedky M, Sharma N, Tyagi A (2014) An internet of things approach for motion detection using Raspberry Pi. In: IEEE international conference intelligent computing and internet of things, pp 131–134
Yamanoor NS, Yamanoor S (2017) High quality, low cost education with the Raspberry Pi. In: 2017 IEEE global humanitarian technology conference (GHTC), San Jose, CA, 2017, pp 1–5
Zhu J, Huo L, Ansari MD, Ikbal MA (2021) Research on data security detection algorithm in IoT based on K-means. Scal Comput: Pract Exper 22(2):149–159
Balakrishna S, Solanki VK, Gunjan VK, Thirumaran M (2019) A survey on semantic approaches for IoT data integration in smart cities. In: International conference on intelligent computing and communication technologies, pp 827–835. Springer, Singapore
Kumar SS, Rao GS, Voggu S (2021) Improvement of DC bus bar voltage for microgrid system using renewable energy sources. Lect Notes Netw Syst 609–616
Anjankar SC, Zalke J, Pandey SR, Misal N, Jawarkar P (2020) Vehicle monitoring system based on internet of things (IoT) for smart cities. Helix Scient Expl | Peer Rev Bimonthly Int J 10(01): 222–227. Retrieved from https://helixscientific.pub/index.php/home/article/view/87
Dhaya R, Kanthavel R, Mahalakshmi M (2021) Enriched recognition and monitoring algorithm for private cloud data centre. Soft Comput
Makled Esraa A, Halawa Hassan H, Daoud RM, Amer Hassanein H (2015) Wi-Fi-based hierarchical wireless networked control systems. Electronics and Communications Engineering Department American University in Cairo (AUC) Cairo Egypt IEEE
Saravanan NP, Thamilselvan R, Loheswaran K (2021) Prediction of neurological disorder using deep learning network. Oxidation Commun 44(1):171–187
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Cheerla, S.V., Chakravarthy, V.V.N., KishoreBabu, K., GopiRam, V. (2023). Home Automation Using Telegram Bot. In: Gunjan, V.K., Suganthan, P.N., Haase, J., Kumar, A. (eds) Cybernetics, Cognition and Machine Learning Applications. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-1484-3_6
Download citation
DOI: https://doi.org/10.1007/978-981-19-1484-3_6
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-1483-6
Online ISBN: 978-981-19-1484-3
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)