Design and Implementation of Controller Boards to Monitor and Control Home Appliances for Future Smart Homes | IEEE Journals & Magazine | IEEE Xplore

Design and Implementation of Controller Boards to Monitor and Control Home Appliances for Future Smart Homes


Abstract:

Internet of Things (IoT) applications have become popular and are used in innovative device applications. Although radio frequency communication methods, including Blueto...Show More

Abstract:

Internet of Things (IoT) applications have become popular and are used in innovative device applications. Although radio frequency communication methods, including Bluetooth, zonal intercommunication global standards such as ZigBee, and wireless fidelity (Wi-Fi) and wired communication such as RS485/Modbus, can be used in IoT networks, Wi-Fi is preferred by users due to its ability to connect to the internet and allow users to control devices from anywhere in the world. In addition, numerous do-it-yourself and low-cost solutions have been presented for intelligent home applications in recent decades. However, many solutions use proprietary communication protocols that are not standards-based, so integrating a standardized local home automation server is difficult. We proposed a design based on low-cost Wi-Fi-based IoT-capable control boards that communicate with an IoT network of standard home automation servers and commercial intelligent home devices. The primary focus of the proposed system is to implement control boards for IoT applications by using Espressif systems series microcontrollers that can run in any IoT network used for home automation. Converting traditional houses into smart homes will support demand-side energy management applications in future smart grids and allow customers to use low-cost energy.
Published in: IEEE Transactions on Industrial Informatics ( Volume: 20, Issue: 9, September 2024)
Page(s): 11458 - 11465
Date of Publication: 11 June 2024

ISSN Information:

Funding Agency:

References is not available for this document.

I. Introduction

Internet of Things (IoT) can be defined as devices that can be managed or controlled over the Internet [1]. The main objective of IoT devices and networks is to combine separate devices and control them via the Internet [2]. Bringing all devices within a network, allowing equipment to communicate with each other, and sending helpful information to the user creates smart homes [1], [3].

Select All
1.
N. Sindhwani et al., "Implementation of intelligent plantation system using virtual IoT" in Internet of Things and its Applications, Berlin, Germany:Springer-Verlag, pp. 305-322, 2022.
2.
M. H. Kabir, M. A. Hasan and W. Shin, "CSI-DeepNet: A lightweight deep convolutional neural network based hand gesture recognition system using Wi-Fi CSI signal", IEEE Access, vol. 10, pp. 114787-114801, 2022.
3.
N. Khalid, R. Mirzavand, H. Saghlatoon, M. M. Honari, A. K. Iyer and P. Mousavi, "A batteryless RFID sensor architecture with distance ambiguity resolution for smart home IoT applications", IEEE Internet Things J., vol. 9, no. 4, pp. 2960-2972, Feb. 2022.
4.
J. S. Kalsi and J. Singh Ubhi, "A study of conventional protocols applicable to the emerging IoT systems and devices", Proc. Int. Conf. Autom. Comput. Technol. Manage., pp. 395-399, 2019.
5.
B. Koyuncu, "PC remote control of appliances by using telephone lines", IEEE Trans. Consum. Electron., vol. 41, no. 1, pp. 201-209, Feb. 1995.
6.
H. Erdem and A. Uner, "A multi-channel remote controller for home and office appliances", IEEE Trans. Consum. Electron., vol. 55, no. 4, pp. 2184-2189, Nov. 2009.
7.
T. Perumal, A. R. Ramli and C. Y. Leong, "Design and implementation of SOAP-based residential management for smart home systems", IEEE Trans. Consum. Electron., vol. 54, no. 2, pp. 453-459, May 2008.
8.
A. C. Jose and R. Malekian, "Improving smart home security: Integrating logical sensing into smart home", IEEE Sensors J., vol. 17, no. 13, pp. 4269-4286, Jul. 2017.
9.
T.-H. Tsai, C.-C. Huang, C.-H. Chang and M. A. Hussain, "Design of wireless vision sensor network for smart home", IEEE Access, vol. 8, pp. 60455-60467, 2020.
10.
M. T. Ahammed et al., "Real-time non-intrusive electrical load classification over IoT using machine learning", IEEE Access, vol. 9, pp. 115053-115067, 2021.
11.
B. K. Akhmetzhanov, O. A. Gazizuly, Z. Nurlan and N. Zhakiyev, "Integration of a video surveillance system into a smart home using the home assistant platform", Proc. Int. Conf. Smart Inf. Syst. Technol., pp. 1-5, 2022.
12.
C. Stolojescu-Crisan et al., "An IoT-based smart home automation system", Sensors, vol. 21, no. 11, 2021.
13.
B. Harishma et al., "Safe is the new smart: PUF-based authentication for load modification-resistant smart meters", IEEE Trans. Dependable Secure Comput., vol. 19, no. 1, pp. 663-680, Jan./Feb. 2022.
14.
M. M. Alani and A. I. Awad, "An intelligent two-layer intrusion detection system for the Internet of Things", IEEE Trans. Ind. Inform., vol. 19, no. 1, pp. 683-692, Jan. 2023.
15.
T. Sultana and K. A. Wahid, "IoT-guard: Event-driven fog-based video surveillance system for real-time security management", IEEE Access, vol. 7, pp. 134881-134894, 2019.
16.
K. Khanchuea and R. Siripokarpirom, "A multi-protocol IoT gateway and WiFi/BLE sensor nodes for smart home and building automation: Design and implementation", Proc. 10th Int. Conf. Inf. Commun. Technol. Embedded Syst., pp. 1-6, 2019.
17.
L.-D. Liao et al., "Design and validation of a multifunctional android-based smart home control and monitoring system", IEEE Access, vol. 7, pp. 163313-163322, 2019.
18.
F. Luo, G. Ranzi, W. Kong, G. Liang and Z. Y. Dong, "Personalized residential energy usage recommendation system based on load monitoring and collaborative filtering", IEEE Trans. Ind. Inform., vol. 17, no. 2, pp. 1253-1262, Feb. 2021.
19.
P. Ducange, F. Marcelloni and M. Antonelli, "A novel approach based on finite-state machines with fuzzy transitions for nonintrusive home appliance monitoring", IEEE Trans. Ind. Inform., vol. 10, no. 2, pp. 1185-1197, May 2014.
20.
F. Luo, G. Ranzi, C. Wan, Z. Xu and Z. Y. Dong, "A multistage home energy management system with residential photovoltaic penetration", IEEE Trans. Ind. Inform., vol. 15, no. 1, pp. 116-126, Jan. 2019.
21.
M. J. Sanjari, H. Karami and H. B. Gooi, "Analytical rule-based approach to online optimal control of smart residential energy system", IEEE Trans. Ind. Inform., vol. 13, no. 4, pp. 1586-1597, Aug. 2017.
22.
A. Ahmad, N. Javaid, M. Guizani, N. Alrajeh and Z. A. Khan, "An accurate and fast converging short-term load forecasting model for industrial applications in a smart grid", IEEE Trans. Ind. Inform., vol. 13, no. 5, pp. 2587-2596, Oct. 2017.
23.
A. Zielonka, A. Sikora, M. Woźniak, W. Wei, Q. Ke and Z. Bai, "Intelligent Internet of Things system for smart home optimal convection", IEEE Trans. Ind. Inform., vol. 17, no. 6, pp. 4308-4317, Jun. 2021.
24.
M. Yousefi, A. Hajizadeh and M. N. Soltani, "A comparison study on stochastic modeling methods for home energy management systems", IEEE Trans. Ind. Inform., vol. 15, no. 8, pp. 4799-4808, Aug. 2019.
25.
"ESP8266 ESP-01 wifi module", Aug. 2022, [online] Available: https://www.espressif.com/en/support/documents/technical-documents?keys=&field_type_tid%5B%5D=14&field_download_document_type_tid%5B%5D=510.
26.
"ESP8266 ESP-12E NodeMCU wifi Module", Aug. 2022, [online] Available: https://www.espressif.com/en/support/documents/technical-documents?keys=&field_type_tid%5B%5D=14&field_download_document_type_tid%5B%5D=510.
27.
"ESP32-wroom-32D devkit", Aug. 2022, [online] Available: https://www.espressif.com/en/support/documents/technical-documents?keys=&field_type_tid%5B%5D=266.
28.
"PZEM-004T V3.0 user manual", Jun. 2023, [online] Available: https://innovatorsguru.com/wp-content/uploads/2019/06/PZEM-004T-V3.0-Datasheet-User-Manual.pdf.
29.
"The standard for IoT messaging", Aug. 2022, [online] Available: https://mqtt.org/.
30.
"ESP home flasher", Aug. 2022, [online] Available: https://github.com/esphome/esphome-flasher.

Contact IEEE to Subscribe

References

References is not available for this document.