scholarly journals Internet of Things–based smart home system using a virtualized cloud server and mobile phone app

2019 ◽  
Vol 15 (9) ◽  
pp. 155014771987935
Author(s):  
Guo-Ming Sung ◽  
Yen-Shin Shen ◽  
Jia-Hong Hsieh ◽  
Yu-Kai Chiu

This article proposes an Internet of Things–based smart home system composed of a virtualized cloud server and a mobile phone app. The smart Internet of Things–based system includes a sensing network, which is developed with the ZigBee wireless communication protocol, a message queuing telemetry transport, a virtualized cloud server and a mobile phone app. A Raspberry Pi development board is used to receive packet information from the terminal sensors using ZigBee wireless communication. Then, the message queuing telemetry transport broker not only completes transmission of the message but also publishes it to the virtualized cloud server. The transmission can then be viewed through the website using a mobile phone. The designed app combines the application of the virtualized cloud server, client sensors and the database. Verification experiments revealed the measured average response time and throughput of approximately 4.0 s and 6069 requests per second, respectively, for the virtualized web server and approximately 0.144 s and 8866 packets per second, respectively, for the message queuing telemetry transport broker. The designed functions of the mobile phone app are a global positioning system home monitoring, family memo, medical care and near-field communication key. Both interlinkage and handler methods are proposed to facilitate a powerful function without delay in displaying information. The proposed system integrates with software and hardware to complete the data analysis and information management quickly and correctly. It can cater to user needs with superior ease and convenience.

2013 ◽  
Vol 475-476 ◽  
pp. 1150-1153 ◽  
Author(s):  
Yan Zeng Gao ◽  
Ling Yan Wei

Smart home can apply new internet of things concepts along cloud service technologies. This paper introduces a novel method for smart home system building. The system is driven by use case and it is composed of home control center, zigbee end devices, smart phone applications and cloud server. The home control center is based on arm-linux embedded system, it is the relay of cloud server and home devices. Wireless network of smart home devices was designed according to zigbee. A smart phone application was developed as the role of the user interface.


Internet of Things is a rising innovation that makes our world more astute. In recent years, there has been immense development in the realm of insightful gadgets for home mechanization. Such contraptions are planned so as to facilitate communication among individuals and everyday home obligations. This paper exhibits a voice-controlled smart home with multi-functions using ESP32 as the wireless choice. Voice control (using human voice to control any load like light, fan, ac, geyser, motor etc.). The voice-commands are recognized by a dedicated hardware module and the recognized data is sent to database using ESP32. On the accepting unit, raspberry pi peruses the information from the database and deciphers the directions verbally expressed by the client and controls the family unit apparatuses.


Author(s):  
Hamdi W. Rotib ◽  
◽  
Muhammad B. Nappu ◽  
Zulkifli Tahir ◽  
Ardiaty Arief ◽  
...  

Many types of research have been conducted for the development of Internet of Things (IoT) devices and energy consumption forecasting. In this research, the electric load forecasting is designed with the development of microcontrollers, sensors, and actuators, added with cameras, Liquid Crystal Display (LCD) touch screen, and minicomputers, to improve the IoT smart home system. Using the Python program, Principal Component Analysis (PCA) and Autoregressive Integrated Moving Average (ARIMA) algorithms are integrated into the website interface for electric load forecasting. As provisions for forecasting, a monthly dataset is needed which consists of electric current variables, number of individuals living in the house, room light intensity, weather conditions in terms of temperature, humidity, and wind speed. The main hardware parts are ESP32, ACS712, electromechanical relay, Raspberry Pi, RPi Camera, infrared Light Emitting Diode (LED), Light Dependent Resistor (LDR) sensor, and LCD touch screen. While the main software applications are Arduino Interactive Development Environment (IDE), Visual Studio Code, and Raspberry Pi OS, added with many libraries for Python 3 IDE. The experimental results provided the fact that PCA and ARIMA can predict short-term household electric load accurately. Furthermore, by using Amazon Web Services (AWS) cloud computing server, the IoT smart home system has excellent data package performances.


Author(s):  
Галина Влах-Вигриновська ◽  
◽  
Олег Іванюк ◽  
Мішель Вигриновський ◽  
Назар Малиновський ◽  
...  

This article proposes a cost effective IoT smart home security platform that delivers data in the cloud for applications. The smart security system includes a network for sensing home monitoring devices via wireless ISM communication, a home security system control controller with an Internet connection using a Wifi connection, and a backup method of notifying the user is implemented by SMS message via GSM cellular network, cloud server and applications for mobile phones on the Android operating system. The developed application combines the application of a cloud server, client sensors and a database. It also clarified the hardware and software implementation of the IoT-based home security system and their relative functions.


2021 ◽  
Vol 2 (1) ◽  
pp. 10-17
Author(s):  
Andree Fajar Pratama ◽  
Syamsyarief Baqaruzi ◽  
Ali Muhtar

Perilaku boros air bersih menyebabkan semakin banyak orang yang kehilangan akses terhadap air bersih. Penggunaan air di dalam rumah tangga selama ini masih sangat sulit untuk dilakukan pengelolaan dalam penggunaan air secara efektif. Kelangkaan air bersih adalah situasi saat terjadinya kekurangan air untuk memenuhi kebutuhan manusia. Penelitian ini menmbangun sistem Home Water Flow Monitoring (HEROIG) berbasis Internet of Things (IoT) untuk melakukan monitoring dan controlling penggunaan air pada rumah. Perangkat keras menggunakan NodeMCU sebagai mikrokontroler serta mengirimkan hasil sensing debit air oleh sensor water flow yang akan dikirimkan ke cloud server. Pengontrolan dapat dilakukan melalui aplikasi android HEROIG yang telah dibuat dan terintegrasi dengan sistem IoT yang harus bekerja dalam koneksi jaringan yang baik. Pengujian kualitas koneksi jaringan atau Quality of Services (QoS) khususnya packet loss menggunakan dua parameter yaitu dari waktu dan jarak. Hasil pengujian packet loss parameter waktu dengan pengujian enam detik sekali dalam waktu satu menit memiliki nilai rata-rata packet loss 1,13%, kemudian untuk pengujian parameter jarak dengan selisih setiap jarak adalah empat meter memiliki nilai rata-rata packet loss 0,15%. Hasil pengujian tersebut menunjukan kualitas pengiriman data sensor ke cloud server memiliki parameter QoS packet loss kategori sangat baik, karena memiliki nilai packet loss <3%.


2019 ◽  
Vol 6 (6) ◽  
pp. 703
Author(s):  
Eri Haryanto ◽  
Imam Riadi

<p>Perangkat Internet of Things (IoT) merupakan perangkat cerdas yang memiliki interkoneksi dengan jaringan internet global. Investigasi kasus yang menyangkut perangkat IoT akan menjadi tantangan tersendiri bagi investigator forensik. Keberagaman jenis perangkat dan teknologi akan memunculkan tantangan baru bagi investigator forensik. Dalam penelitian ini dititikberatkan forensik di level internal device perangkat IoT. Belum banyak bahkan belum penulis temukan penelitian sejenis yang fokus dalam analisis forensik perangkat IoT pada level device. Penelitian yang sudah dilakukan sebelumnya lebih banyak pada level jaringan dan level cloud server perangkat IoT. Pada penelitian ini dibangun environment perangkat IoT berupa prototype smart home sebagai media penelitian dan kajian tentang forensik level device. Pada penelitian ini digunakan analisis model forensik yang meliputi collection, examination, analysis, dan reporting dalam investigasi forensik untuk menemukan bukti digital. Penelitian ini berhasil mengungkap benar-benar ada serangan berupa injeksi malware terhadap perangkat IoT yang memiliki sistem operasi Raspbian, Fedberry dan Ubuntu Mate. Pengungkapan fakta kasus mengalami kesulitan pada perangkat IoT yang memiliki sistem operasi Kali Linux. Ditemukan 1 IP Address komputer penyerang yang diduga kuat menanamkan malware dan mengganggu sistem kerja perangkat IoT.</p><p><em><strong>Abstract</strong></em></p><p class="Abstract"><em>The Internet of Things (IoT) is an smart device that has interconnection with global internet networks. Investigating cases involving IoT devices will be a challenge for forensic investigators. The diversity of types of equipment and technology will create new challenges for forensic investigators. In this study focused on forensics at the IoT device's internal device level, there have not been many similar research that focuses on forensic analysis of IoT devices at the device level. Previous research has been done more at the network level and cloud level of IoT device's. In this study an IoT environment was built  a smart home prototype as a object for research and studies on forensic level devices. This study, using forensic model analysis which includes collection, examination, analysis, and reporting in finding digital evidence. This study successfully revealed that there was really an attack in the form of malware injection against IoT devices that have Raspbian, Fedberry and Ubuntu Mate operating systems. Disclosure of the fact that the case has difficulties with IoT devices that have the Kali Linux operating system. Found 1 IP Address of an attacker's computer that is allegedly strongly infusing malware and interfering with the work system of IoT devices.</em></p><p><em><strong><br /></strong></em></p>


eLEKTRIKA ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 1
Author(s):  
Bagus Eryawan ◽  
Ari Endang Jayati ◽  
Sri Heranurweni

High economic growth makes the demand for comfortable and safe houses increase and the application of technology that is most clearly seen is technology with automatic systems. With this technology, the use of electricity in the house can be minimized and offer convenience in controlling the house. Sometimes homeowners forget to turn off the lights when they are outside the house so they have to go back and do checks that are very inefficient both in terms of time and financially such as the cost of gasoline to return to the house. Based on this, the Smart Home Prototype was created with the concept of the Internet of Things (IoT) using Raspberry Pi Web-Based, which is a system that can remotely control electronic home appliances using Raspberry Pi as a base system, which is connected to Web Applications through the internet network. The electronic equipment used in this study is in the form of 5 lamps, 1 stepper motor to control the garage, 1 servo motor to control the door lock, and 1 brushless motor that functions as a fan. Blocking and overall test results on Bedroom Lights, Living Room Lights, Kitchen Lights, Bathroom Lights, Porch Lights, Garages, Door Locks, and Fans, all work well. The testing of the distance between cities against the Prototype Smart Home was successfully carried out, where the Prototype Smart Home in the City of Demak was successfully controlled by the User who at the time of testing was in the City of Semarang, Kudus, Japan, Surabaya, and Jakarta.


Author(s):  
Afshana Khanum ◽  
Rekha Shivakumar

<p>Today due to advancement in technology and Internet of Things, to deal with step-by-step jobs like mailing, accessing bank entries, watching degree of hotness and other jobs PCs were utilized. Because of fast improvement in IOT nowadays tablets, advanced mobile phones are utilized for such assignments [1]. Home security can be characterized as observing the home remotely located or centrally located. Today, home security is getting to be vital as the conceivable outcomes of interruption is expanding step by step, yet they have issues like postponement, non-web empowered and hard to deal. Intruder recognition is basic parts of home computerization and home security frameworks. Most generally, utilized specialized devices are mobile phones and sending mails are considered for controlling home appliances remotely by proposing productive structures. An Enhanced Security Alert System for Smart Home using IOT is composed in our proposed work. It identifies the intruder when no one is in home by sending alert message or caught picture to the proprietor (or) owner. Proposed framework is ease home security framework utilizes an IP Web-camera and Raspberry pi for limiting delay during the time of sending alert message. Fog Computing is incorporated to proposed framework to expand the level of security and limit the engendering delay. Proposed framework is to give minimal effort arrangement and adaptable association instrument for coordinating Internet of Things with home security frameworks.</p><p><em> </em></p>


Internet of Things (IoT) is a connection of interconnected any things deployed in different applications. The IoT is emerging as a technique for real-time monitoring the environment like Earthquake early detection. Snow level monitoring, forest fire detection, Gas level monitoring in a Smart Kitchen. IoT based sensor network need secure communication, processing, analytics and transient storage for better monitoring of smart environments. In this article, the authors proposed a secure framework for data collection and further processing from the sensors network to the core of the network using Fog-Cloud based architecture. The paper implemented the proposed framework taking different sensors deploy in an IoT based smart kitchen environment. For experimental purpose, Raspberry Pi used as a fog node and local cloud server to monitor the environment in real-time, SQLite is used as buffer storage. The experimental setup and result show that the proposed framework is secure to monitoring in a sensor network.


Author(s):  
S. K. Hajara Munvara Siddiqa ◽  
K. Apurva ◽  
Durgesh Nandan ◽  
Sanjeev Kumar

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