Customary homes to smart homes using Internet of Things (IoT) and mobile application

Govindraj, Vignesh; Sathiyanarayanan, Mithileysh; Abubakar, Babangida

doi:10.1109/smarttechcon.2017.8358532

Cited by 73 publications

(32 citation statements)

References 3 publications

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“…Application Areas Published Papers Total Intrusion detection [2], [36], [1], [37], [29], [38], [4], [39], [40], [30], [41], [42], [43], [44], [45], [27], [46], [47], [48], [49], [50], [32], [51], [52], [53], [54], [26], [33], [55], [56], [57], [58], [59], [60], [28], [61], [62], [34], [63], [64], [65] 41…”

Section: Table 4 Distribution Of Papers By Application Areamentioning

confidence: 99%

Systematic Survey on Smart Home Safety and Security Systems Using the Arduino Platform

Sarhan

2020

IEEE Access

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Smart home safety and security systems have gained much importance over the last few years owing to their notable impact in reducing and preventing losses in resources and human life caused by unwanted situations that could occur while homeowners are far away from their homes. To date, there is a lack of an in-depth literature analysis that could help researchers and developers better understand these systems and their applications in different contexts. It is therefore crucial that research evidence published in this area is presented. In this study, 63 research papers that examined smart home safety and security systems using the Arduino platform from popular literature databases were thoroughly surveyed to extract useful data. Then, the extracted data were analyzed to answer many research questions concerning state-ofthe-art applications of these systems, their architectures, their enabling technologies, their components, etc. In addition, several challenges that these systems currently face and how future research could enable better implementation and use of these systems were discussed. INDEX TERMS Arduino, smart homes, safety systems, security systems, sensors and actuators, architectures, enabling technologies.

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Section: Table 4 Distribution Of Papers By Application Areamentioning

confidence: 99%

Systematic Survey on Smart Home Safety and Security Systems Using the Arduino Platform

Sarhan

2020

IEEE Access

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“…The aforementioned studies [16][17][18][19], however, still focused on the efficient management and interaction of smart objects (i.e., sensors and actuators) rather than interaction between users and IoT services. The platforms and systems presented by [20][21][22][23][24] suggest various approaches to provide IoT services by taking the interaction between users and devices into account. Ref.…”

Section: J Sens Actuator Netw 2019 8 12 4 Of 21mentioning

confidence: 99%

“…Ref. [20,21] proposed an IoT-based smart home automation and monitoring system. Various sensor and actuator nodes are configured with microcomputers like Raspberry Pi and Arduino and then installed in a home.…”

Section: J Sens Actuator Netw 2019 8 12 4 Of 21mentioning

confidence: 99%

“…As mentioned in Introduction, most recent IoT systems provide a simple grid or list-based interface which is not efficient for users to manage the devices and rules. Moreover, some systems [2,[20][21][22][23] provide an interface for device management only. Although some studies [12][13][14]22] provide graphical components for presentation, their functionalities are limited to manage only sensor data or support only a web-based interface or device management feature.…”

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confidence: 99%

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VisKit: Web-Based Interactive IoT Management with Deep Visual Object Detection

Hwang

Lee

Jeong

2019

JSAN

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Various technologies and standards for the Internet of Things (IoT) have defined the way devices should interact with each other to provide an intelligent IoT service to users in an efficient manner. Although the usability of system interface between the platform and users is one of the key factors for the success of IoT ecosystems, the manner in which IoT platforms should interact with users has not been well studied. Current IoT platforms provide a simple list-based interface to manage devices, which result in the degradation of their usability as the number of devices increases. In this paper, we propose an interactive web-based IoT management system where deep object detection techniques are adopted to facilitate user’s device selection and management. The proposed system automatically recognizes the device type from video streams and accordingly generates smart controllers. The users can choose a device by touching an object in the video stream and use a smart controller to control the selected device. Finally, we show the feasibility of the proposed system through the implementation of a prototype which demonstrates a set of user scenarios.

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“…Hay dos modos a través de los cuales se pueden controlar de manera remota los electrodomésticos conectados a la red: manual y automático. Por ejemplo, desde la aplicación se puede dar el comando manual para encender o apagar el aire acondicionado o un comando automático que encienda el aire acondicionado si el sensor de temperatura detecta una temperatura superior al parámetro establecido en la configuración de la aplicación y que apague automáticamente el aire acondicionado una vez se haya regulado la temperatura [37]. 2.…”

Section: Domóticaunclassified

LiFi y su integración con la internet de las cosas

Páez¹,

Pineda²,

Sánchez³

2019

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En el documento, se lleva a cabo una revisión de la literatura sobre la comunicación por medio de la luz visible conocida como Light Fidelity (LiFi, por sus siglas en inglés) y el internet de las cosas (IoT, por sus siglas en inglés). Para lo anterior, se usa una metodología cualitativa de tipo descriptivo, con el fin identificar el funcionamiento de la tecnología LiFi; las ventajas y desventajas que presenta frente a otras tecnologías existentes; y los principios de funcionamiento y oportunidades de la integración de la internet de las cosas con LiFi como uno de los pilares de desarrollo para las ciudades inteligentes. Las conclusiones de la revisión apuntan a que la integración de bombillas LED (Diodo Emisor de Luz) con tecnología LiFi a redes IoT y servicios en la nube, permitirá el fortalecimiento de la iluminación LED conectada donde se aportan nuevos conocimientos y se puede considerar la iluminación como un servicio.

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Customary homes to smart homes using Internet of Things (IoT) and mobile application

Cited by 73 publications

References 3 publications

Systematic Survey on Smart Home Safety and Security Systems Using the Arduino Platform

Systematic Survey on Smart Home Safety and Security Systems Using the Arduino Platform

VisKit: Web-Based Interactive IoT Management with Deep Visual Object Detection

LiFi y su integración con la internet de las cosas

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