Internet Of Things Based Integrated Smart Home Automation System – The Internet of Things (IoT) refers to the network of distinct physical objects embedded with sensors, software, and other technologies and rendered virtually in a network or cyberspace (Zeinab & Elmustafa, 2017; Kang et al., 2015). IoT is a pristine troubleshooting and information gathering technique that includes nanotechnology, smart technology, sensor machines, RFID sensor technology (Darianian & Michael, 2008) and a variety of other technological advances. IoT is not an individually superlative technology; rather, it overcomes significant technological advances and highlights skills relevant to bridging the physical and virtual worlds (Wang, Smith & Ruiz, 2019). With the development of technology and the world, people live very busy lives and look for relief in every aspect of life. IoT covers a wide field of research and this study is not able to cover the entire research field. But because of how easily people can use it, the smart home and smart environment are the first domains that come to mind. A smart home (Lobaccaro, Carlucci & Löfström, 2016; Abdulrahman et al., 2016) is an automated home that refers to the mechanism of automating the work of all household appliances by controlling them using a computer, tablet or smartphone with internet. connection. In recent years, home automation has gained immense attention as people prefer to control and maintain the use of home appliances by changing their status from anywhere in the world. Finally, home automation is becoming a necessity for the present.
IoT improves a user’s life by providing affordable and highly flexible solutions to problems encountered in daily life. Previous studies have proposed a variety of home automation systems by integrating a variety of sensor combinations (Gill et al., 2009; Al-Ali & Al-Rousan, 2004); however, given the limitations of these investigations, we listed some reasons for the rationale behind proposing an effective and systematic home automation system.
Internet Of Things Based Integrated Smart Home Automation System
Integrating security measures when designing a home automation system is not a straightforward method and requires a formal risk analysis approach. In fact, one of the main challenges for smart home automation has been recognized as the challenge of providing security in IoT environments, highlighting the complexity of this challenging but crucial task. To ensure efficient operation of a home automation system, key parameters that can complicate the system must be controlled. One of the important parameters missing in a previously created home automation system is the lack of a graphical user interface (GUI) environment that makes the operation of the system not comprehensible to the users. In addition, device restoration is available on existing home automation systems that are harmful to household appliances. In addition, previous home automation solutions are unable to predict electricity bills and are too expensive for users. The current study created a “smart home” automation system that allows users to monitor and manage home appliances as well as the functional state of sensors. The mobile application allows users to change the design of the house and perform all tasks. In addition, using blockchain technology, the system enables authentication and secure communication between IoT devices and users who want to change the device’s status. Keeping this in mind, we propose an effective and efficient solution to fill the previously discussed gap by pursuing the following objectives.
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The rest of the article is organized as follows: “Background” discusses a brief overview of the literature and important contributions within smart buildings and smart home solutions. “Proposed Approach” presents the proposed methodology used in this study to provide an effective solution, “Implementation Details” provides an overview of the implementation of the proposed approach as well as the software and hardware used in the solution. The experimental results are presented in “Experiments and Results” along with a detailed discussion. “Conclusion” concludes the article.
This section highlights the research gap within smart environments and home automation systems. A significant amount of research has been carried out in the field of smart buildings and smart homes. For example, the ZigBee microcontroller was used by Gill et al. (2009) to enable the user to connect devices in the home. However, the system does not support long range and the data rate is low. Similarly, (Al-Ali & Al-Rousan, 2004) used a personal computer (PC)-based server to provide remote connectivity to household appliances. Installation of the system is expensive due to the integration of wiring. Another study, Coskun & Ardam (1998), proposed a telephone-based controller for household appliances. It did not include GUI which limited the functionality for users. Baudel & Beaudouin-Lafon (1993) created a new home automation system that used hand gestures to control objects. However, the system failed to detect hand gestures accurately, causing inconvenience to users.
Kumar & Pati (2016) integrated electrical switches and the Internet to provide a home electronics monitoring system. However, the system lacked secure transmission and communication between devices on a network. Researchers in Soundhari & Sangeetha (2015) incorporated GPRS and voice recognition in their proposed home automation system, but the system did not provide a secure identification and authentication for users. Similarly, the authors of Javale et al. (2013) focused on providing elderly and disabled people with a system to remotely control their home devices using Android APK; however, the system is limited in functionality. It just automated the light controls and turn the electronics on and off.
Bluetooth technology was used by Piyare & Tazil (2011) in an attempt to design a mobile-based home automation system, but the GUI only supported Symbian OS mobile phones and the Bluetooth range was limited to 50-100m. Similarly, Sriskanthan, Tan & Karande (2002) used Bluetooth technology, but the proposed system did not work well due to installation hurdles. Blockchain technology is gaining attention due to its reliability. The technology selection problem is solved using blockchain in Farshidi et al. (2020). Researchers applied blockchain technology to e-government services (Geneiatakis et al., 2020).
What Is Internet Of Things (iot)? 139+1 Definitions Since 1999
The threat to network security has greatly worsened with the rise of cyber attacks and intrusion tactics. An efficient anomaly detection technique was proposed in Ding & Li (2022), which takes into account the complicated communication patterns between network topology and node attributes. Researchers looked at recent cyberattacks that used AI-based methods and discovered a number of mitigation approaches that can be used to combat such AI attacks (Yamin et al., 2021). Akleylek & Soysaldı (2022) designed an authentication scheme for RFID system. Meng et al. (2021) investigated IoT-based cyber attacks and discussed defense mechanisms and challenges. A tool based on the branch-and-bound technique and tuned for GPU systems to evaluate block code security is proposed in Yeoh, Teh & Chen (2022). Wang et al. (2021) used the blockchain method to build an efficient certificateless signature framework.
ArduinoTmega2560 and IoT technologies were used to help people with disabilities monitor and control household appliances (Abdulraheem et al., 2020). However, the proposed system failed to provide a secure authentication system for users. Consequently, an automated system for opening the door of an office or a home was proposed by Hoque & Davidson (2019) that integrated the Elegoo Mega 2560 and a web server that required keeping information about signals between a number of transmitters. In an attempt to provide a smart home automation system that enables users to control home electronics by integrating ESP-8266, Arduino UNO and Wi-Fi for connectivity (Satapathy, Bastia & Mohanty, 2018), the system spent more time on to turn a device on and off. Another study Pirbhulal et al. (2017) used a wireless sensor network to create an energy efficient and secure home automation system. However, the proposed system is expensive and limited only in temperature.
This study proposes a smart home automation system that facilitates users to monitor and adjust the status of installed home equipment such as air conditioning, ventilation, heating and lighting along with the operational status of sensors. The proposed system is not limited to being time-efficient, but also provides the user with a sustainable energy-efficient solution by providing insight into the devices’ energy consumption. This energy-efficient and cost-effective solution can also be used in hotels, restaurants and domestic or industrial locations. The proposed system includes a lightweight GUI environment and a notification system that includes an icon-based interface that enables the user to be notified and connected to their home from anywhere in the world. This system is cost-effective due to its ability to automate commonly installed electronic devices in the home instead of specific IP devices such as RJ-45 (Chong, Zhihao & Yifeng, 2011). Figure 1 illustrates the operation of the proposed home automation system.
From the administration panel, the user can draw a complete layout of their home using a user-friendly drag-and-drop interface. THE
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