scholarly journals Design, Implementation and Practical Evaluation of an IoT Home Automation System for Fog Computing Applications Based on MQTT and ZigBee-WiFi Sensor Nodes

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2660 ◽  
Author(s):  
Iván Froiz-Míguez ◽  
Tiago Fernández-Caramés ◽  
Paula Fraga-Lamas ◽  
Luis Castedo
Keyword(s):  
Fog Computing ◽  
Smart Homes ◽  
High Energy ◽  
Cloud Services ◽  
Sensor Nodes ◽  
Automation System ◽  
Home Automation ◽  
Automation Systems ◽  
Home Automation System ◽  
The Impact

In recent years, the improvement of wireless protocols, the development of cloud services and the lower cost of hardware have started a new era for smart homes. One such enabling technologies is fog computing, which extends cloud computing to the edge of a network allowing for developing novel Internet of Things (IoT) applications and services. Under the IoT fog computing paradigm, IoT gateways are usually utilized to exchange messages with IoT nodes and a cloud. WiFi and ZigBee stand out as preferred communication technologies for smart homes. WiFi has become very popular, but it has a limited application due to its high energy consumption and the lack of standard mesh networking capabilities for low-power devices. For such reasons, ZigBee was selected by many manufacturers for developing wireless home automation devices. As a consequence, these technologies may coexist in the 2.4 GHz band, which leads to collisions, lower speed rates and increased communications latencies. This article presents ZiWi, a distributed fog computing Home Automation System (HAS) that allows for carrying out seamless communications among ZigBee and WiFi devices. This approach diverges from traditional home automation systems, which often rely on expensive central controllers. In addition, to ease the platform’s building process, whenever possible, the system makes use of open-source software (all the code of the nodes is available on GitHub) and Commercial Off-The-Shelf (COTS) hardware. The initial results, which were obtained in a number of representative home scenarios, show that the developed fog services respond several times faster than the evaluated cloud services, and that cross-interference has to be taken seriously to prevent collisions. In addition, the current consumption of ZiWi’s nodes was measured, showing the impact of encryption mechanisms.

METHOD OF REMOTE MONITORING OF PARAMETERS OF ELECTRICAL SWITCHBOARD EQUIPMENT OF HOME AUTOMATION SYSTEM

2020 ◽  
pp. 28-37
Author(s):  
Parkhomenko Anzhelika ◽  
◽  
Tulenkov Artem ◽  
Zalyubovskiy Yaroslav
Keyword(s):  
Remote Monitoring ◽  
Modular Design ◽  
Practical Significance ◽  
Critical Parameters ◽  
Automation System ◽  
Home Automation ◽  
Automation Systems ◽  
Temperature Mode ◽  
Functional Features ◽  
Home Automation System

The paper presents the results of the analysis of electrical switchboards computer-aided design process features. The problems of modeling and ensuring the normal temperature mode of switchboard equipment functioning for safe operation of home automation systems are investigated. The work shows that the shortcomings of existing methods and systems of monitoring make it impossible to use them for remote monitoring of the parameters of switchboard equipment due to a whole set of structural and functional features of developed objects. The main requirements for remote monitoring subsystem are compact modular design of hardware that will save space while providing the necessary functionality, low cost, and low power consumption of the components; reliable transmission of monitoring data over long distances, and data storage for further mining. The results of the development and implementation of the method of remote monitoring of electrical switchboard equipment critical parameters are presented. The possibilities of Orange opensource software using for data visualization and intellectual analysis are shown. The identified associative rules can be used for further improvement of control scenarios of the home automation system and ensure the reliable operation of switchboard equipment. The scientific significance of the work lies in the fact that the method of remote monitoring of operational parameters of electrical switchboard has been further developed based on the developed methodology for determining conditions and types of user notifications as well as the integrated usage of wireless data transmission technologies, cloud storage technologies and data mining tools. The practical significance of the obtained results is that the introduction of the remote monitoring subsystem will increase the reliability and security of the home automation system and its attractiveness to users. Further work will focus on the intellectual analysis of the data obtained based on Bayesian networks to develop and study patterns of human activity during home automation system operation to formulate recommendations for the user and specialists to improve the control scenarios of the home automation system. Key words: home automation system, switchboard equipment, remote monitoring, temperature mode, wireless technologies, cloud service, associative rules.

scholarly journals Finger Vein Biometric based Secure Access Control in Smart Home Automation

2019 ◽  
Vol 8 (6) ◽  
pp. 851-855
Keyword(s):  
Smart Home ◽  
Interconnection Network ◽  
Svm Classifier ◽  
Automation System ◽  
Home Automation ◽  
Finger Vein ◽  
Authentication Mechanism ◽  
Automation Systems ◽  
Home Automation System ◽  
And Control

Smart home automation has become popular with the advent of IoT technology. Smart home automation systems suffer from a number of security issues due to the vulnerabilities that exist in the different devices and the interconnection network. Providing user authentication for smart homes is an important security requirement for preventing intruders from attacking a smart home automation system. Biometric based authentication systems have been used in many applications since they provide high security than the smart cards and password based authentication systems. Finger vein recognition is a biometric authentication technique that applies pattern recognition on the images of human finger vein present beneath the skin's surface. The advantage of using finger vein authentication is that, it is difficult to forge and also provides high accuracy as the external deformities like rashes, cracks and rough epidermis do not have an impact on the matching and recognition process. This paper deals with the implementation of a secure smart home automation system that uses finger vein biometric for the authentication mechanism. The algorithm used for authentication uses K Means Segmentation and canny edge detection for feature extraction. SVM classifier is used for the matching process. The authentication system is then incorporated into the smart home automation system that can be used to monitor and control the devices connected to it. The proposed approach shows better performance than the existing methods used in literature for authentication, monitoring and control of smart home automation systems

scholarly journals IOT Home Automation

2021 ◽  
Vol 9 (12) ◽  
pp. 1820-1823
Author(s):  
Ranjan Navin
Keyword(s):  
Internet Of Things ◽  
Communication Systems ◽  
Mobile App ◽  
The Internet ◽  
Automation System ◽  
Daily Routine ◽  
Home Automation ◽  
Automation Systems ◽  
Home Automation System ◽  
The Internet Of Things

Abstract: The Internet of Things (IoT) is the most recent technology platform. We may regulate our daily routine work, such as home applications, control, and simple communication systems, using IOT, and improve our digital services. The Internet of Things (IoT) is a system that intelligently adds everyday content information to the internet in order to facilitate communication between objects and humans, as well as among themselves. In this study, we demonstrate how IoT can improve home automation. The relay, Node MCU, which is a network access component, is used in our suggested system. We can control that equipment using an IoT-based system technique. Mobile phones, computers, and tablets are used as user interfaces in home automation systems. They can connect to the home automation network through a wireless internet connection. The user will interact with the system directly via the control interface, while home appliances will be controlled remotely via a mobile app. An additional aspect of the home automation system is that it may be protected remotely. This redesigned design concept provided a home automation system that could be controlled efficiently. Keywords: IOT, home automation, smart home, relay, response time, Node MCU (ESP8266)

Rule Making Algorithms for Smart Home Control

2014 ◽  
Vol 693 ◽  
pp. 451-456
Author(s):  
Andrej Strasiftak ◽  
Dušan Mudrončík ◽  
Andrea Peterková
Keyword(s):  
Activity Recognition ◽  
Smart Home ◽  
Smart Homes ◽  
Basic Knowledge ◽  
Automation System ◽  
Home Automation ◽  
Learning Mechanism ◽  
Knowledge Database ◽  
Home Automation System ◽  
Rule Making

In this article we want to introduce our first tested concept of a learning mechanism for smart homes. It is a number of interrelated algorithms that search the database of events in the home automation system. By searching, mechanism selects those events that at the time repeated several times under well-defined rules. Finally creates a database of basic rules, some basic knowledge database of activities. These can then serve as the management rules or may be further examined for activity recognition.

scholarly journals Design of a Bimodal Home Automation System using ESP8266 and ATMEGA328 Microcontroller

2017 ◽  
Vol 6 (3) ◽  
pp. 95-108
Author(s):  
Sikiru Olayinka Zakariyya
Keyword(s):  
Long Range ◽  
Smart Home ◽  
Limited Range ◽  
Automation System ◽  
Home Automation ◽  
Technology Investment ◽  
Adaptive Architecture ◽  
Automation Systems ◽  
The Status ◽  
Home Automation System

Home automation systems are garnering increasing popularity and widespread use due to the relative ease of domestic management and comparatively high return on technology investment tied to its adoption. However, Nigeria and other emerging ICT economies are yet to fully actualize and maximize the inherent potential of these smart home technologies due to endemic challenges associated with poor infrastructure, erratic power supply and unreliable Internet connectivity. These challenges necessitate an innovative paradigmatic shift that could provide a pragmatic technological solution suitable to the context of Nigeria and other developing climes. For most smart home systems in this research context, the status quo is based on choosing whether the design would be for short- or long-range communication network. Short-range designs which are usually realized with Bluetooth technology suffer from limited range issues while poor connectivity, bandwidth and latency issues are some of the problems plaguing Wi-Fi-based long-range designs. Consequently, this research presents a hybrid adaptive architecture that combines desirable features of both short- and long-range modes. The proposed smart home system is based on using embedded systems which use mobile application to send messages to ESP8266 Wi-Fi module. Together with notifications received from the monitoring unit, these messages are parsed by Arduino's ATMEGA328 microcontroller from where instruction codes are sent for controlling the load by switching ON or OFF various relays connected to the load.

scholarly journals Enhanced Intelligent Smart Home Control and Security System Based on Deep Learning Model

2022 ◽  
Vol 2022 ◽  
pp. 1-22
Author(s):  
Olutosin Taiwo ◽  
Absalom E. Ezugwu ◽  
Olaide N. Oyelade ◽  
Mubarak S. Almutairi
Keyword(s):  
Deep Learning ◽  
Smart Home ◽  
Learning Model ◽  
The Internet ◽  
Automation System ◽  
Home Automation ◽  
Home Security ◽  
Automation Systems ◽  
Home Automation System ◽  
Deep Learning Model

Security of lives and properties is highly important for enhanced quality living. Smart home automation and its application have received much progress towards convenience, comfort, safety, and home security. With the advances in technology and the Internet of Things (IoT), the home environment has witnessed an improved remote control of appliances, monitoring, and home security over the internet. Several home automation systems have been developed to monitor movements in the home and report to the user. Existing home automation systems detect motion and have surveillance for home security. However, the logical aspect of averting unnecessary or fake notifications is still a major area of challenge. Intelligent response and monitoring make smart home automation efficient. This work presents an intelligent home automation system for controlling home appliances, monitoring environmental factors, and detecting movement in the home and its surroundings. A deep learning model is proposed for motion recognition and classification based on the detected movement patterns. Using a deep learning model, an algorithm is developed to enhance the smart home automation system for intruder detection and forestall the occurrence of false alarms. A human detected by the surveillance camera is classified as an intruder or home occupant based on his walking pattern. The proposed method’s prototype was implemented using an ESP32 camera for surveillance, a PIR motion sensor, an ESP8266 development board, a 5 V four-channel relay module, and a DHT11 temperature and humidity sensor. The environmental conditions measured were evaluated using a mathematical model for the response time to effectively show the accuracy of the DHT sensor for weather monitoring and future prediction. An experimental analysis of human motion patterns was performed using the CNN model to evaluate the classification for the detection of humans. The CNN classification model gave an accuracy of 99.8%.

scholarly journals Internet of Things Device Enabled Smart Home Integrated Architecture with Security Services

2021 ◽  
Vol 12 (6) ◽  
pp. 2614-2623
Author(s):  
J. Deepika, J. Gokulraj
Keyword(s):  
Smart Home ◽  
Internet Technology ◽  
Easy Access ◽  
Automation System ◽  
Home Automation ◽  
Sensors And Actuators ◽  
Security Services ◽  
Automation Systems ◽  
Home Automation System ◽  
Home Systems

The innovative internet technology of domestic automation applications is widely distributed. Home automation systems have become increasingly sophisticated by providing access to all people irrespective of time or place. Home automation devices, known as smart home systems, are supplied with wireless communication technologies via cell phones and microcontrollers for a remote control of wired non-computers at home. In this digital age, the home automation system was developed to target a broad range of applications for new digital consumers. Smart home systems with Internet connectivity of objects and security services, incorporation of intelligence into sensors and actuators, networking of intelligent elements that enable interactions between intelligent devices allow easy access at different locations, increased calculation power, storage capacity and efficient data sharing.

scholarly journals Internet-of-Things based Home Automation System using Smart Phone

2021 ◽  
Author(s):  
Zubair Sharif
Keyword(s):  
Internet Of Things ◽  
Low Cost ◽  
Smart Phone ◽  
Smart Homes ◽  
Automation System ◽  
Home Automation ◽  
Sensors And Actuators ◽  
The People ◽  
Recent Developments ◽  
Home Automation System

Smart homes can be of great benefit for both, energy and water management which not only helps to save money but can be highly beneficial for the environment. Such smart automation not only offers optimum consumption of these resources but also leads to higher comfort and conveniences for the users and residents. Recent developments in sensing, networking and communication technologies offering new and advanced forms to link a variety of things around us even with the people. Further, integration of internet of things (IoTs) services by embedding intelligence into these sensors and actuators and connecting them smartly are gaining great popularity to enhance the comfort and quality of life. This paper presents a flexible and low-cost home automation system using various sensors to control the commonly used home appliances and devices where IP connectivity is provided to access and manage them remotely. For this purpose, an Android-based app is developed which can be installed on any smartphone in order to monitor and control the devices from any location. The evaluation of the integrated sensors with the devices and switches shows that the system can offer great automation to achieve the idea of smart homes.

scholarly journals Home Automation Using Chatbot and Voice Assistant

2020 ◽  
Vol 32 ◽  
pp. 01002
Author(s):  
Bhavyasri Kadali ◽  
Neha Prasad ◽  
Pranaya Kudav ◽  
Manoj Deshpande
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Raspberry Pi ◽  
Automation System ◽  
Home Automation ◽  
Voice Input ◽  
Text Input ◽  
Automation Systems ◽  
Home Automation System

In a world with ever increasing needs for comfort, human race is relying more and more on technological advancements to find solutions to their problems. Home Automation Systems have become a go-to arena in the recent years. In the following paper, we propose a Home Automation system that uses a wholesome blending of some technologies like Internet of Things, Natural Language Processing and Machine Learning. The prime feature of this system is that, it provides two modes of communication to the user : Text and Voice. The text input from the user will be given via a Chatbot Application and the voice input from the user will be given via a voice assistant. The input will undergo Natural Language Processing to find the action that the user wants the system to perform. The IoT component, Raspberry Pi would perform the actuations in the form of switching On or Off of Lights and Fans of a room in the house.

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