M2M home data interoperable management system based on MQTT

Bellido-Outeiriño, F.J.; Flores-Arias, J.M.; García, Emilio José; Pallares-Lopez, Victor; Matabuena-Gomez-Limon, D.

doi:10.1109/icce-berlin.2017.8210627

Cited by 13 publications

(9 citation statements)

References 6 publications

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“…However, this communication system was designed to share energy-related information among neighboring MGs and it does not directly interact with a control system. In [10], the potential of the MQTT protocol to connect home appliances and coordinate their performance was addressed. Nevertheless, the work focused more on the design approach than on the actual implementation, which is limited to a LabVIEW-based controller and a set of Arduinos.…”

Section: Review Of Related Publicationsmentioning

confidence: 99%

“…Among them, we can highlight MQTT, hypertext transfer protocol (HTTP), advanced message queuing protocol (AMQP), and CoAP [35,36]. Each of these application layer protocols have their own benefits and drawbacks so the choice of the appropriate one depends on the application requirements and constraints [10].…”

Section: Importance Of Protocol Selection In the Communication Stackmentioning

confidence: 99%

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Message Queuing Telemetry Transport Communication Infrastructure for Grid-Connected AC Microgrids Management

et al. 2021

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In a context with an increasing number of non-traditional power sources, smart inverters function as the main interfaces between distributed energy resources (DERs) and the power bus. This role is even more prominent in microgrids (MGs), where numerous DERs must be controlled and coordinated. For this aim, MGs need to implement suitable communication links since, even in distributed control, the system must compensate voltage and frequency deviations caused by local controllers. Likewise, a communication system is required to optimize its operation. This paper aims to apply the technological advances brought by the Internet of Things (IoT) to the issue of communication within an MG. The work proposes a wireless communication architecture based on the message queuing telemetry transport (MQTT) protocol, accompanied by a set of requirements and specifications to establish a multi-directional information flow between DERs in an MG, and potential energy management system (EMS) or secondary controllers. A laboratory-scale testbed was implemented to demonstrate the operation of an EMS in the proposed architecture. The experimental results showed how current control structures seamlessly integrate with the proposed communication system. Furthermore, it was demonstrated that communication latencies or failures did not comprise the stability of the MG, but only decreased the optimality of the EMS control strategy.

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Section: Review Of Related Publicationsmentioning

confidence: 99%

Section: Importance Of Protocol Selection In the Communication Stackmentioning

confidence: 99%

Message Queuing Telemetry Transport Communication Infrastructure for Grid-Connected AC Microgrids Management

et al. 2021

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“…Machine to Machine Communication (M2M) is a form of communication between hardware (devices) using wireless signals to be able to connect and communicate without human assistance in real-time [14]. One of the methods in this communication is MQTT (Message Queuing Telemetry Transport), which is a protocol that works at the ISO TCP/IP layer, on the internet of things (IoT) system [15]. This protocol works with a server that sends messages to the client, and the client receives the message by minimizing data encoding and data decoding and only requires a small amount of memory to deliver the message [16].…”

Section: E Machine To Machine (M2m) Communicationmentioning

confidence: 99%

Speech Recognition Implementation Using MFCC and DTW Algorithm for Home Automation

Haq¹,

Nasrun²,

Setianingsih³

et al. 2020

EECSI

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The use of speech recognition as part of home automation, especially for smart homes, is an exciting thing that is still being developed. That is because of human needs for comfort, convenience, quality of life, and better safety. Speech recognition built in this study is used as a device to control smart home devices by identifying the commands spoken by users, especially in a state of clean speech. The command used is a predetermined consecutive word. For the extraction of voice commands, the MFCC algorithm is used to match spoken words with templates using the Dynamic Time Warping (DTW) algorithm. DTW algorithm can find the difference between 2time series that have different lengths of time. The results of the accuracy of this system by using these algorithms were successfully carried out by 86.67%, with an average time required to identify the commands of 5.28 seconds.

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“…Low energyconsumption sensors and actuators are connected to ESP8266 to remotely control and monitor the home using MQTT protocol. Home energy management system is developed in [9] to manage the electrical loads of houses. WiFi and MQTT protocol are used to connect the appliances.…”

Section: Related Workmentioning

confidence: 99%

Optimally Automated Home Management for Smart Grid System Using Sensor Networks: Gaza Strip as a Case Study

Hamouda

Dwedar

2020

Technol Econ Smart Grids Sustain Energy

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Smart Grid (SG) allows real-time management of electric loads via the integration of Information and Communication Technology (ICT) concepts. Therefore, Home Energy Management Systems (HEMS) have been recently developed to smartly manage the electric loads in smart homes. In this paper, the Automated Home Management (AHM) system is introduced to intelligently control and schedule the electric loads. Hardware and software implementations are achieved to remotely control, monitor, measure and manage the electricity. Hardware components include a microcontroller, electric current sensor, electric voltage sensor, and Ethernet module. The Internet of Things (IoT) platform using Message Queuing Telemetry Transport (MQTT) protocol is embraced to connect the AHM system at homes with the data center at the operator of electricity. Thus, two electric energy management algorithms are introduced. Firstly, the Power Limit Management (PLM) algorithm is proposed to control the electric loads according to the available electrical energy. Secondly, Smart Electrical Task Scheduling (SETS) algorithm is developed to schedule the electric loads, so that the electricity daily cost, and the user comfort are improved. Simulation results show that the introduced SETS and PLM algorithms save energy consumption, and daily electrical cost with reasonable user comfort. Unlike other approaches, the proposed SETS uses a weighting parameter that can tune the level of comfort and daily price. When the weighting parameter is equal to half, user dissatisfaction is improved by 91.5% compared by the case of using a weighting parameter of unity. Furthermore, daily price is improved by 11.4% compared by the case of using a weighting parameter of zero.

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M2M home data interoperable management system based on MQTT

Cited by 13 publications

References 6 publications

Message Queuing Telemetry Transport Communication Infrastructure for Grid-Connected AC Microgrids Management

Message Queuing Telemetry Transport Communication Infrastructure for Grid-Connected AC Microgrids Management

Speech Recognition Implementation Using MFCC and DTW Algorithm for Home Automation

Optimally Automated Home Management for Smart Grid System Using Sensor Networks: Gaza Strip as a Case Study

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