scholarly journals Home Automation Using Packet Tracer and ESP8266

2021 ◽  
Vol 21 ◽  
pp. 84-96
Author(s):  
Sucheta Gupta ◽  
Sushil Lekhi
Keyword(s):  
Energy Conservation ◽  
Smart Home ◽  
Closed Loop ◽  
Human Life ◽  
Smart Devices ◽  
Raspberry Pi ◽  
Home Automation ◽  
Packet Tracer ◽  
Basic Need ◽  
Iot Devices

The technology has been growing from day to day in human life. The basic need of human to lead his/her life comfortably is a home. A home with updated latest technology which means a smart home. In such a scenario, there is a need to have an endeavour to have everything at the push of a button away, and more importantly, automated. Home Automation is such an endeavour, in which, all the electrical appliances present at home are connected to each other, having interactions with sensors placed at strategic positions in a closed loop manner to perform meagre tasks automatically, leaving less burden on the humans. With this project we are promoting the fact that Home Automation can greatly contribute to energy conservation too. This paper gives the basic idea use cisco packet tracer to implement smart home. Cisco implemented (IoT) functionalities in the latest version of the platform, and now it is possible to add all the smart devices, sensors, actuators, and devices, which simulate microcontrollers like Arduino or Raspberry Pi to the network. All IoT devices can be run on generic programs or modified by Java, Python or Blocky programming them. This makes Cisco Packet Tracer a perfect method to construct functional simulations for IoT.

scholarly journals Big Data and Personalisation for Non-Intrusive Smart Home Automation

2021 ◽  
Vol 5 (1) ◽  
pp. 6
Author(s):  
Suriya Priya R. Asaithambi ◽  
Sitalakshmi Venkatraman ◽  
Ramanathan Venkatraman
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Smart Home ◽  
Big Data Analytics ◽  
Cost Effective ◽  
Smart Devices ◽  
Home Automation ◽  
Open Standard ◽  
Iot Devices ◽  
And Control

With the advent of the Internet of Things (IoT), many different smart home technologies are commercially available. However, the adoption of such technologies is slow as many of them are not cost-effective and focus on specific functions such as energy efficiency. Recently, IoT devices and sensors have been designed to enhance the quality of personal life by having the capability to generate continuous data streams that can be used to monitor and make inferences by the user. While smart home devices connect to the home Wi-Fi network, there are still compatibility issues between devices from different manufacturers. Smart devices get even smarter when they can communicate with and control each other. The information collected by one device can be shared with others for achieving an enhanced automation of their operations. This paper proposes a non-intrusive approach of integrating and collecting data from open standard IoT devices for personalised smart home automation using big data analytics and machine learning. We demonstrate the implementation of our proposed novel technology instantiation approach for achieving non-intrusive IoT based big data analytics with a use case of a smart home environment. We employ open-source frameworks such as Apache Spark, Apache NiFi and FB-Prophet along with popular vendor tech-stacks such as Azure and DataBricks.

scholarly journals An Intelligent, Secure, and Smart Home Automation System

2020 ◽  
Vol 2020 ◽  
pp. 1-14
Author(s):  
Rizwan Majeed ◽  
Nurul Azma Abdullah ◽  
Imran Ashraf ◽  
Yousaf Bin Zikria ◽  
Muhammad Faheem Mushtaq ◽  
...  
Keyword(s):  
Decision Making ◽  
Smart Home ◽  
Raspberry Pi ◽  
Automation System ◽  
Home Automation ◽  
Intelligent Decision Making ◽  
Blockchain Technology ◽  
Intelligent Decision ◽  
Home Automation System ◽  
Iot Devices

The idea of a smart home is getting attention for the last few years. The key challenges in a smart home are intelligent decision making, secure identification, and authentication of the IoT devices, continuous connectivity, data security, and privacy issues. The existing systems are targeting one or two of these issues whereas a smart home automation system that is not only secure but also has intelligent decision making and analytical abilities is the need of time. In this paper, we present a novel idea of a smart home that uses a machine learning algorithm (Support Vector Machine) for intelligent decision making and also uses blockchain technology to ensure identification and authentication of the IoT devices. Emerging blockchain technology plays a vital role by providing a reliable, secure, and decentralized mechanism for identification and authentication of the IoT devices used in the proposed home automation system. Moreover, the SVM classifier is applied to classify the status of devices used in the proposed smart home automation system into one of the two categories, i.e., “ON” and “OFF.” This system is based on Raspberry Pi, 5 V relay circuit, and some sensors. A mobile application is developed using the Android platform. Raspberry Pi acting as the server maintains the database of each appliance. The HTTP web interface and apache server are used for communication among the Android app and Raspberry Pi. The proposed idea is tested in the lab and real life to validate its effectiveness and usefulness. It is also ensured that the hardware and technology used in the proposed idea are cheap, easily available, and replicable. The experimental results highlight its significance and validate the proof of the concept.

scholarly journals Smart Networking of Company

2021 ◽  
Vol 9 (12) ◽  
pp. 463-473
Author(s):  
Bhakti J. Soochik
Keyword(s):  
Critical Role ◽  
Smart Devices ◽  
Raspberry Pi ◽  
Area Network ◽  
Solar Panels ◽  
Wide Area Network ◽  
Production Chain ◽  
Keywords Internet ◽  
Packet Tracer ◽  
Iot Devices

Abstract: This paper simulate IoT based smart companies and make our networking infrastructure effective, efficient and most importantly accurate with security. The simulator used is Cisco Packet Tracer, this tool has been used form many years in networking. Main strength of the tool is the offering of a variety of network components that simulate a real network, devices would then need to be interconnected and configured in order to create a network. Technology plays a critical role in all daily activities of the present day. One of these needs is to create a smart office that controls operation and turns off electronic devices via a smartphone. This implementation can be implemented effectively using package tracking software that includes IoT functions to control and simulate a smart office. The latest version of the tool Cisco introduced IoT functionalities, and now it is possible to add to the network smart devices, components, sensors, actuators and also devices that simulate microcontrollers such as Arudino or Raspberry Pi. All the IoT devices can be run on standard programs or can be customized by programming them with Java, Phyton or Blockly. This makes Cisco Packet Tracer an ideal tool for building IoT practical simulations. Smart-Industrial smart-company office offer simulation of a power plant that produces and stores electricity via solar panels and wind turbines. All the electricity is produced by smart devices, then stored and utilized to power a production chain filled with smart sensor and actuators. IoT security features are also introduced in the simulations. Keywords: Internet of things (IOT), Campus Network (CN), networking, wide area network (WAN).

scholarly journals A Secure and Scalable Smart Home Gateway to Bridge Technology Fragmentation

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3587
Author(s):  
Ezequiel Simeoni ◽  
Eugenio Gaeta ◽  
Rebeca I. García-Betances ◽  
Dave Raggett ◽  
Alejandro M. Medrano-Gil ◽  
...  
Keyword(s):  
Smart Home ◽  
Home Automation ◽  
Dynamic Configuration ◽  
Home Gateway ◽  
Security Authentication ◽  
Living Lab ◽  
Automation Systems ◽  
Authentication And Authorization ◽  
Iot Devices ◽  
Bridge Technology

Internet of Things (IoT) technologies are already playing an important role in our daily activities as we use them and rely on them to increase our abilities, connectivity, productivity and quality of life. However, there are still obstacles to achieving a unique interface able to transfer full control to users given the diversity of protocols, properties and specifications in the varied IoT ecosystem. Particularly for the case of home automation systems, there is a high degree of fragmentation that limits interoperability, increasing the complexity and costs of developments and holding back their real potential of positively impacting users. In this article, we propose implementing W3C’s Web of Things Standard supported by home automation ontologies, such as SAREF and UniversAAL, to deploy the Living Lab Gateway that allows users to consume all IoT devices from a smart home, including those physically wired and using KNX® technology. This work, developed under the framework of the EC funded Plan4Act project, includes relevant features such as security, authentication and authorization provision, dynamic configuration and injection of devices, and devices abstraction and mapping into ontologies. Its deployment is explained in two scenarios to show the achieved technology’s degree of integration, the code simplicity for developers and the system’s scalability: one consisted of external hardware interfacing with the smart home, and the other of the injection of a new sensing device. A test was executed providing metrics that indicate that the Living Lab Gateway is competitive in terms of response performance.

scholarly journals Internet of Things-Based Intelligent Smart Home Control System

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Olutosin Taiwo ◽  
Absalom E. Ezugwu
Keyword(s):  
Machine Learning ◽  
Mobile Application ◽  
Smart Home ◽  
Human Life ◽  
Machine Learning Algorithms ◽  
Support Vector ◽  
Automation System ◽  
Home Automation ◽  
Area Of Interest ◽  
Home Automation System

The smart home is now an established area of interest and research that contributes to comfort in modern homes. With the Internet being an essential part of broad communication in modern life, IoT has allowed homes to go beyond building to interactive abodes. In many spheres of human life, the IoT has grown exponentially, including monitoring ecological factors, controlling the home and its appliances, and storing data generated by devices in the house in the cloud. Smart home includes multiple components, technologies, and devices that generate valuable data for predicting home and environment activities. This work presents the design and development of a ubiquitous, cloud-based intelligent home automation system. The system controls, monitors, and oversees the security of a home and its environment via an Android mobile application. One module controls and monitors electrical appliances and environmental factors, while another module oversees the home’s security by detecting motion and capturing images. Our work uses a camera to capture images of objects triggered by their motion being detected. To avoid false alarms, we used the concept of machine learning to differentiate between images of regular home occupants and those of an intruder. The support vector machine algorithm is proposed in this study to classify the features of the image captured and determine if it is that of a regular home occupant or an intruder before sending an alarm to the user. The design of the mobile application allows a graphical display of the activities in the house. Our work proves that machine learning algorithms can improve home automation system functionality and enhance home security. The work’s prototype was implemented using an ESP8266 board, an ESP32-CAM board, a 5 V four-channel relay module, and sensors.

A Smart Home Automation Via Facebook Chatbot and Raspberry Pi

2018 ◽  
Author(s):  
Tussanai Parthornratt ◽  
Dollachart Kitsawat ◽  
Pasd Putthapipat ◽  
Prapap Koronjaruwat
Keyword(s):  
Smart Home ◽  
Raspberry Pi ◽  
Home Automation

scholarly journals Security Risk Measurement for Information Leakage in IoT-Based Smart Homes from a Situational Awareness Perspective

Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 2148 ◽  
Author(s):  
Mookyu Park ◽  
Haengrok Oh ◽  
Kyungho Lee
Keyword(s):  
Smart Home ◽  
Situational Awareness ◽  
Personal Information ◽  
Human Life ◽  
Information Leakage ◽  
Security Threats ◽  
Security Risk ◽  
Iot Security ◽  
Home Based ◽  
Iot Devices

Internet-of-Things (IoT) is a technology that is extensively being used in various fields. Companies like Samsung, LG, and Apple are launching home appliances that use IoT as a part of their smart home business. Currently, Intelligent Things which combine artificial intelligence (AI) and IoT are being developed. Most of these devices are configured to collect and respond to human behavior (motion, voice, etc.) through built-in sensors. If IoT devices do not ensure high security, personal information could be leaked. This paper describes the IoT security threats that can cause information leakage from a hierarchical viewpoint of cyberspace. In addition, because these smart home-based IoT devices are closely related to human life, considering social damage is a problem. To overcome this, we propose a framework to measure the risk of IoT devices based on security scenarios that can occur in a smart home.

A ZigBee-Based Smart Home System: An Energy-Saving Method

2010 ◽  
Vol 148-149 ◽  
pp. 1528-1531
Author(s):  
Xuan Zang ◽  
Ying Sun ◽  
Ke Jun Li
Keyword(s):  
Energy Conservation ◽  
Energy Saving ◽  
Intelligent Control ◽  
Smart Home ◽  
Home Automation ◽  
Zigbee Technology ◽  
Internal Network ◽  
New Energy ◽  
Home Technology ◽  
Smart Home Technology

Smart Home technology promises enormous possibilities to our future life. It contains internal network, intelligent control and home automation. The paper describes a novel architecture for the smart home system employing ZigBee technology. Energy conservation is also a feature of smart home system. Based on the time-of-use (TOU) pricing, a new energy saving solution has been proposed.

scholarly journals Internet of Things Architecture Based Cloud for Healthcare

2018 ◽  
Vol 1 (1) ◽  
pp. 18-26 ◽  
Author(s):  
Istabraq M. Al-Joboury ◽  
Emad H. Hemiary
Keyword(s):  
Internet Of Things ◽  
Mobile Application ◽  
Smart Home ◽  
Smart Devices ◽  
Smart Sensors ◽  
Healthcare Network ◽  
Smart Hospital ◽  
Permanent Storage ◽  
Packet Tracer ◽  
The Internet Of Things

The Internet of Things (IoT) contains smart devices placed in different environments, connected with each other across networks and Internet. The integration between Things and Cloud Computing (CC) for monitoring and permanent storage is required for future IoT applications. Therefore, this paper proposes IoT architecture based Cloud for healthcare network when patients are remotely monitored by their family and physicians. This proposed architecture is different from the traditional IoT architecture that consists of Things, getaways, middleware, and application layers which in turn need connectivity insurance between them. The proposed architecture is designed and configured using Cisco Packet Tracer version 7.0 over two sites: Site 'A' located at smart home and site 'B' located at the smart hospital. The results show that the IoT based Cloud enhances the patient life style by using smart sensors and mobile application, as well as the physicians can remotely monitor the data in real time.

scholarly journals IoT-based Application of Information Security Triad

2021 ◽  
Vol 15 (24) ◽  
pp. 61-76
Author(s):  
Mana Saleh Al Reshan
Keyword(s):  
Information Security ◽  
Smart Home ◽  
Cyber Attacks ◽  
Security And Privacy ◽  
Smart Devices ◽  
Exponential Increase ◽  
Operational Capabilities ◽  
Smart Tv ◽  
Iot Devices ◽  
Smart Home Appliances

Information Security is the foremost concern for IoT (Internet of things) devices and applications. Since the advent of IoT, its applications and devices have experienced an exponential increase in numerous applications which are utilized. Nowadays we people are becoming smart because we started using smart devices like a smartwatch, smart TV, smart home appliances. These devices are part of the IoT devices. The IoT device differs widely in capacity storage, size, computational power, and supply of energy. With the rapid increase of IoT devices in different IoT fields, information security, and privacy are not addressed well. Most IoT devices having constraints in computational and operational capabilities are a threat to security and privacy, also prone to cyber-attacks. This study presents a CIA triad-based information security implementation for the four-layer architecture of the IoT devices. An overview of layer-wise threats to the IoT devices and finally suggest CIA triad-based security techniques for securing the IoT devices.

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