Design and Implementation of M2M-Smart Home Based on Arduino-UNO

Djehaiche, Rania; Aidel, Salih; Benziouche, Nihad

doi:10.1007/978-3-030-63846-7_66

Cited by 5 publications

(6 citation statements)

References 9 publications

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“…With this solution, users can easily find available, nearby and cheap parking using the interface of the Raniso app equipped with GPS technology, wherever they are and whenever they want as shown on It is an electronic device that calculates the distance between physical objects using sonar. It has a wide object detecting range of 2 cm to 400 cm with great accuracy [21].…”

Section: A Smart Parkingmentioning

confidence: 99%

“…Actuators LED A light-emitting diode (LED) is a semiconductor light source that emits erratic radiation as a result of spontaneous photon emissions. It is utilized to represent light [21].…”

Section: Sensorsmentioning

confidence: 99%

“…It is an open-source software written in Java and based on the processing programming language. It allows to write, modify and convert programs directly to microcontrollers [21]. The version used in this work is version 1.8.16.…”

Section: Software Specifications Arduino Idementioning

confidence: 99%

“…In addition, the proposed system connects all smart devices in an energy-efficient, secure, convenient, and cost-effective manner. This paper is an extension of our previous works in [11], [21] to develop an IoT/M2M smart building prototype using several compatible sensors, actuators, and modules, besides the Raniso App. In addition to receiving data from the smart building, the system also stores data in the cloud database and displays it visually on the ThingSpeak webpage, as well as remotely monitoring it via the Raniso App.…”

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confidence: 99%

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Adaptive Control of IoT/M2M Devices in Smart Buildings Using Heterogeneous Wireless Networks

et al. 2023

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With the rapid development of wireless communication technology, the Internet of Things (IoT) and Machine-to-Machine (M2M) are becoming essential for many applications. One of the most emblematic IoT/M2M applications is smart buildings. The current Building Automation Systems (BAS) are limited by many factors, including the lack of integration of IoT and M2M technologies, unfriendly user interfacing, high costs, using no more than one or two wireless communication networks, limited wireless transmission range, and the lack of a convergent solution. Therefore, this paper proposes a better approach of using heterogeneous wireless networks consisting of Wireless Sensor Networks (WSNs) and Mobile Cellular Networks (MCNs) for IoT/M2M smart building systems. The proposed system is an inexpensive embedded system that comprises Arduino and NodeMCU boards with several compatible sensors, actuators, and modules for controlling and collecting data over heterogeneous communication technologies (RFID, Bluetooth, Wi-Fi, GSM, LTE). All collected data is uploaded to the ThingSpeak platform, allowing the building system to be monitored via the ThingSpeak webpage or the Raniso app. One of the most significant outcomes of this research is to provide accurate readings to the server, and very low latency, through which users can easily control and monitor remotely the proposed system that consists of several innovative services, namely smart parking, garden irrigation automation, intrusion alarm, smart door, fire and gas detection, smart lighting, smart medication reminder, and indoor air quality monitoring. All these services are designed and implemented to control and monitor from afar the building via our free mobile application named "Raniso" which is a local server that allows remote control of the building via RFID/Bluetooth/Wi-Fi connectivity and cellular networks. This IoT/M2M smart building system is customizable to meet the needs of users, improving safety and quality of life while reducing energy consumption. Additionally, it helps prevent the loss of resources and human lives by detecting and managing risks.

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Section: A Smart Parkingmentioning

confidence: 99%

Section: Sensorsmentioning

confidence: 99%

Section: Software Specifications Arduino Idementioning

confidence: 99%

mentioning

confidence: 99%

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Adaptive Control of IoT/M2M Devices in Smart Buildings Using Heterogeneous Wireless Networks

et al. 2023

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“…Among the, the use of a single flame detector to detect fire with a low correct identification rate delayed alarm or even no alarm 2 , susceptible to external interference leads to false alarms and false actions of firefighting equipment linked to it 3 . Also, Arduino was used to detect safety hazards 4 and to take certain measures against safety incident 5 . A YOLOv2 convolutional neural network (CNN) was used to detect fire smoke in real time 6 .…”

Section: Introductionmentioning

confidence: 99%