MQTT-Based Resource Allocation of Smart Buildings for Grid Demand Reduction Considering Unreliable Communication Links

Jamborsalamati, Pouya; Fernandez, Edstan; Moghimi, Mojtaba; Hossain, M. J.; Heidari, Alireza; Lu, Junwei

doi:10.1109/jsyst.2018.2875537

Cited by 30 publications

(20 citation statements)

References 23 publications

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“…MQTT is known as a string with the hierarchical structure of multi-attribute and multi levels. Every stage can be separated from the forward slash in a theme tree [ 38 ]. For routing data derivation, all subjects can be modified.…”

Section: Methodsmentioning

confidence: 99%

A Novel Robust Smart Energy Management and Demand Reduction for Smart Homes Based on Internet of Energy

Alhasnawi

Jasim

Rahman

et al. 2021

Sensors

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In residential energy management (REM), Time of Use (ToU) of devices scheduling based on user-defined preferences is an essential task performed by the home energy management controller. This paper devised a robust REM technique capable of monitoring and controlling residential loads within a smart home. In this paper, a new distributed multi-agent framework based on the cloud layer computing architecture is developed for real-time microgrid economic dispatch and monitoring. In this paper the grey wolf optimizer (GWO), artificial bee colony (ABC) optimization algorithm-based Time of Use (ToU) pricing model is proposed to define the rates for shoulder-peak and on-peak hours. The results illustrate the effectiveness of the proposed the grey wolf optimizer (GWO), artificial bee colony (ABC) optimization algorithm based ToU pricing scheme. A Raspberry Pi3 based model of a well-known test grid topology is modified to support real-time communication with open-source IoE platform Node-Red used for cloud computing. Two levels communication system connects microgrid system, implemented in Raspberry Pi3, to cloud server. The local communication level utilizes IP/TCP and MQTT is used as a protocol for global communication level. The results demonstrate and validate the effectiveness of the proposed technique, as well as the capability to track the changes of load with the interactions in real-time and the fast convergence rate.

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Section: Methodsmentioning

confidence: 99%

A Novel Robust Smart Energy Management and Demand Reduction for Smart Homes Based on Internet of Energy

Alhasnawi

Jasim

Rahman

et al. 2021

Sensors

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“…All these issues are due to the fact that each domain in SG uses its own protocols and data models. For example, the customer domain depends on lightweight communication protocols such as ZigBee and MQTT [23]. These protocols produce data based on their structured models.…”

Section: B Iot Context Applicationmentioning

confidence: 99%

“…MQTT has been adopted in the customer domain due to its ability to efficiently disseminate data especially when used for constrained devices [23]. Smart devices (e.g., intelligent electronic device [IED], smart monitors) use MQTT to communicate with data acquisition nodes in the customer domain.…”

Section: Use Casementioning

confidence: 99%

Model-Driven Interoperability Layer for Normalized Connectivity Across Smart Grid Domains

Alaerjan

2021

IEEE Access

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The connectivity of heterogeneous components is the key factor behind the notion of the Internet of Things (IoT). Typically, IoT applications involve several communication protocols that are developed based on heterogeneous data models. This has complicated the connectivity within IoT applications. It has also caused significant interoperability issues. Therefore, in this paper we propose a novel connectivity layer which we refer to as the Distributed Data Interoperability Layer (DDIL). DDIL aims at addressing the connectivity issues that arise due to the heterogeneity of data models. In the approach, we construct DDIL into different software components. We then describe these components as a set of configurable features to allow DDIL to be tailored based on the requirements of each application. DDIL has the capabilities to address both syntactic and semantic interoperability. The featureoriented design of DDIL provides required flexibility which is a key concern in several IoT applications. Additionally, DDIL supports backward compatibility. It also allows utilizing preexisting technologies which supports rapid development of applications. We implemented the approach in a simulated smart grid environment. The results prove that DDIL has the capabilities to support the connectivity of different applications even if they are developed based on different protocols and heterogeneous data models.

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“…MQTT is a string with a multi-level, multi-attribute, hierarchical structure. A forward slash in the theme tree separates each stage [56]. These subjects can be updated for routing information.…”

Section: Mqtt Knowledgementioning

confidence: 99%

A Novel Smart Energy Management as a Service over a Cloud Computing Platform for Nanogrid Appliances

et al. 2020

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There will be a dearth of electrical energy in the world in the future due to exponential increase in electrical energy demand of rapidly growing world population. With the development of Internet of Things (IoT), more smart appliances will be integrated into homes in smart cities that actively participate in the electricity market by demand response programs to efficiently manage energy in order to meet this increasing energy demand. Thus, with this incitement, the energy management strategy using a price-based demand response program is developed for IoT-enabled residential buildings. We propose a new EMS for smart homes for IoT-enabled residential building smart devices by scheduling to minimize cost of electricity, alleviate peak-to-average ratio, correct power factor, automatic protective appliances, and maximize user comfort. In this method, every home appliance is interfaced with an IoT entity (a data acquisition module) with a specific IP address, which results in a wide wireless system of devices. There are two components of the proposed system: software and hardware. The hardware is composed of a base station unit (BSU) and many terminal units (TUs). The software comprises Wi-Fi network programming as well as system protocol. In this study, a message queue telemetry transportation (MQTT) broker was installed on the boards of BSU and TU. In this paper, we present a low-cost platform for the monitoring and helping decision making about different areas in a neighboring community for efficient management and maintenance, using information and communication technologies. The findings of the experiments demonstrated the feasibility and viability of the proposed method for energy management in various modes. The proposed method increases effective energy utilization, which in turn increases the sustainability of IoT-enabled homes in smart cities. The proposed strategy automatically responds to power factor correction, to protective home appliances, and to price-based demand response programs to combat the major problem of the demand response programs, which is the limitation of consumer’s knowledge to respond upon receiving demand response signals. The schedule controller proposed in this paper achieved an energy saving of 6.347 kWh real power per day, this paper achieved saving 7.282 kWh apparent power per day, and the proposed algorithm in our paper saved $2.3228388 per day.

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MQTT-Based Resource Allocation of Smart Buildings for Grid Demand Reduction Considering Unreliable Communication Links

Cited by 30 publications

References 23 publications

A Novel Robust Smart Energy Management and Demand Reduction for Smart Homes Based on Internet of Energy

A Novel Robust Smart Energy Management and Demand Reduction for Smart Homes Based on Internet of Energy

Model-Driven Interoperability Layer for Normalized Connectivity Across Smart Grid Domains

A Novel Smart Energy Management as a Service over a Cloud Computing Platform for Nanogrid Appliances

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