Implementation of M2M-IoT Smart Building System Using Blynk App

Djehaiche, Rania; Aidel, Salih; Saeed, Nasir

doi:10.1007/978-3-030-92038-8_44

Cited by 3 publications

(4 citation statements)

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“…Based on the data collected in Table IV and the mathematical equations from (3) to (11), we were able to calculate the estimated error rate for temperature as 0.89%, humidity as 0.56%, and indoor air quality as 0.06%. These error rates are very low, indicating the good performance and efficiency of the proposed system.…”

Section: Resultsmentioning

confidence: 99%

“…In the proposed system, the buzzer is utilized as a notification alarm. Actuators LDR Light Dependent Resistor (LDR) is an electrical component whose resistance varies in response to the perceived light [11]. Actuators LED A light-emitting diode (LED) is a semiconductor light source that emits erratic radiation as a result of spontaneous photon emissions.…”

Section: Sensorsmentioning

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.…”

mentioning

confidence: 99%

“…Among these applications, smart buildings are emerging, which support the flow of information throughout the building, providing advanced functionalities and services, allowing the automatic control, monitoring, management, and maintenance of the various subsystems or applications of the building in an optimal and integrated way, locally and/or remotely [11]. There are many research papers dealing with wireless networkbased IoT/M2M smart building systems, whether MCN or WSN [12]- [20], which will be discussed in detail in the related work part.…”

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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: Resultsmentioning

confidence: 99%

Section: Sensorsmentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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