The method of Internet of Things access and network communication based on MQTT

Liu, Xiangtao; Zhang, Tianle; Hu, Ning; Zhang, Peng; Zhang, Yu

doi:10.1016/j.comcom.2020.01.044

Cited by 55 publications

(22 citation statements)

References 22 publications

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“…Levels 0 is fire and forget, level 1 is for at least once delivery, while level 2 is associated with at most once delivery. ACK is responsible for message delivery in level 1 and level 2 [21]. Two types of clients are interacted known as publisher and subscribers.…”

Section: A Application-layer Protocols For Interoprabilitymentioning

confidence: 99%

A Systematic Review on the Data Interoperability of Application Layer Protocols in Industrial IoT

et al. 2021

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Due to the rising popularity of the Internet of Things (IoT), interconnected infrastructures with better flexibility and efficiency are being developed for industry 4.0. The use of IoT in industry 4.0 introduces a new term "Industrial IoT (IIoT)", which allows remote monitoring of wide-ranging industrial processes. IIoT tends to function with a large number of heterogeneous devices, therefore, data interoperability is the biggest challenge in achieving seamless real-time communication. To achieve data interoperability, there is a need to integrate various IoT application layer protocols; separately, as well as, with other data acquisition protocols along with hardware/software platforms. Although such integrations are frequently presented in the state-of-the-art, a comprehensive investigation and analysis of such approaches in single research work are hard to find. Therefore, in this article, a Systematic Literature Review (SLR) is presented by investigating 34 influential research works, published during 2014-2020, where interoperability of application layer protocols is performed for IIoT. Consequently, the selected research studies are divided into three categories: 1) Integration of IoT application layer protocols-13 papers; 2) Integration of IoT and data acquisition protocols-6 papers; 3) Integration of IoT protocols with hardware/software platforms-15 papers to resolve interoperability issues. Moreover, nineteen (19) tools used for integration in the selected research works are identified. Furthermore, leading approaches to perform such integrations are recognized, e.g., Gateways. It has been concluded that although researchers frequently propose centralized (e.g., gateway or protocol converter) and distributed intermediator (e.g., Middleware) to achieve required interoperability for IIoT, it is a need of a day to develop a device level solution without the involvement of intermediator. This will solve different interoperability problems in industries like scalability, load balancing, and a single point of failure.

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Section: A Application-layer Protocols For Interoprabilitymentioning

confidence: 99%

A Systematic Review on the Data Interoperability of Application Layer Protocols in Industrial IoT

et al. 2021

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“…In the aspect of information security strategy research under the background of big data, the necessity of building a national competitive intelligence system based on information security is discussed [25,26], and the construction measures of the national competitive intelligence system based on information security are proposed. Intelligence literacy should be regarded as the core element of information security theory, and the solution of information security theory under the background of big data is explored [27,28].…”

Section: Related Workmentioning

confidence: 99%

Information Security Monitoring and Management Method Based on Big Data in the Internet of Things Environment

Liang

Feng

2021

IEEE Access

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“…In this research, the BSU and its home appliances communicate via Wi-Fi using a low-power, lightweight, and secure protocol. The MQTT [54] protocol is optimized for a high latency or non-deployable network. MQTT provides network data protection on three levels.…”

Section: Proposed Internet Of Energy Communication Platformmentioning

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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The method of Internet of Things access and network communication based on MQTT

Cited by 55 publications

References 22 publications

A Systematic Review on the Data Interoperability of Application Layer Protocols in Industrial IoT

A Systematic Review on the Data Interoperability of Application Layer Protocols in Industrial IoT

Information Security Monitoring and Management Method Based on Big Data in the Internet of Things Environment

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

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