A Cloud-based Architecture for the Internet of Things targeting Industrial Devices Remote Monitoring and Control

Silva, Ademir F. da; Ohta, Ricardo Luís; Santos, M.P. dos; Binotto, Alécio Pedro Delazari

doi:10.1016/j.ifacol.2016.11.137

Cited by 53 publications

(22 citation statements)

References 11 publications

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“…The applications are developed and implemented to utilize the benefits of MQTT [1-2, 4-14, 16-21, 24, 26, 28-36]. Messages of connected constrained devices are managed and handled by MQTT in thousands of large queues before transmission [10,14,28]. MQTT is lightweight as it has a small header between 1 to 4 bytes [8,12].…”

Section: Mqtt Applicationmentioning

confidence: 99%

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MQTT of IoT Classification in Energy Saving

2018

Dec. 14-15, 2017 Kuala Lumpur (Malaysia)

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Section: Mqtt Applicationmentioning

confidence: 99%

“…It was introduced by Amazon in 2007 as a non-relational database which managed unstructured big data. NoSQL is newly used in some special IoT applications such as MongoDB and Redis [4,8,14,17,19,28,33]. NoSQL has some benefits to enhance IoT applications.…”

Section: Database Technologymentioning

confidence: 99%

MQTT of IoT Classification in Energy Saving

2018

Dec. 14-15, 2017 Kuala Lumpur (Malaysia)

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“…Moreover, cloud computing is also applied in industrial Internet of Things (IIoT) and CPS. For example, Silva et al [11] proposed a cloud-based architecture for IIoT for remote monitor and control industrial devices. Xiong et al [12] designed a cloud operating system for industrial applications.…”

Section: Introductionmentioning

confidence: 99%

A Smart Manufacturing Service System Based on Edge Computing, Fog Computing, and Cloud Computing

Tao

2019

IEEE Access

262

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The state-of-the-art technologies in new generation information technologies (New IT) greatly stimulate the development of smart manufacturing. In a smart manufacturing environment, more and more devices would be connected to the Internet so that a large volume of data can be obtained during all phases of the product lifecycle. Cloud-based smart manufacturing paradigm facilitates a new variety of applications and services to analyze a large volume of data and enable large-scale manufacturing collaboration. However, different factors, such as the network unavailability, overfull bandwidth, and latency time, restrict its availability for high-speed and low-latency real-time applications. Fog computing and edge computing extended the compute, storage, and networking capabilities of the cloud to the edge, which will respond to the above-mentioned issues. Based on cloud computing, fog computing, and edge computing, in this paper, a hierarchy reference architecture is introduced for smart manufacturing. The architecture is expected to be applied in the digital twin shop floor, which opens a bright perspective of new applications within the field of manufacturing. INDEX TERMS Cloud computing, digital twin, edge computing, fog computing, hierarchical architecture, smart manufacturing.

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“…9 Because of ease of use, low cost, compatibility, quality of service, IoT techniques are applied in different application such as home automation, health care monitoring, smart city application, industrial automation, environment monitoring, cattle management, and agriculture. [10][11][12] Through improved operational efficiencies as well as new revenue creating products and services, by the year 2025, the potential economic impact of the IOT is estimated to be $2.7 to $6.2 trillion per year. 13 This shows that evolution of IoT in different fields.…”

Section: Introductionmentioning

confidence: 99%

Systematic review of Internet of Things in smart farming

Terence

Geethanjali

2020

Trans Emerging Tel Tech

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Agriculture unquestionably is one of the traditional occupations, which feeds all mankind in the world. Continuous changes are happening in the agricultural field to increase production. Researchers are applying various techniques to improve farming methods. To monitor plants even from remote places and to improve the yield of plants, Internet of Things (IoT), which is a boon in today's world, is applied in farming, in general, known as smart farming. Smart farming is a way where the farmers can monitor their field and manage farming activities from remote places. This reduces man power and increases resource utilization in farming. In this article, we have studied the architecture of smart farming and studied different smart farming techniques, also we have classified smart farming techniques into three categories, namely, IoT-based agricultural monitoring and controlling system, automatic irrigation system, and plant disease monitoring system. The review for the article is selected based on the systematic literature review method, and articles published from 2011 to 2019 are considered for review. Different IoT technologies such as sensors, gateway, communication system, user interface and experiment nature, plant type, disease type, advantages, and limitations are also reviewed. Future research direction and challenges in smart farming techniques are also discussed. Trans Emerging Tel Tech. 2020;31:e3958. wileyonlinelibrary.com/journal/ett Atzori et al 16 presented a survey on IoT techniques. In this article, the architecture, applications, and challenges of IoT technologies were discussed. Various environmental and agricultural monitoring applications were discussed. Zhang et al 17 projected various agricultural data transmission methods in his review article, namely, voice information transmission, short message service (SMS) information transmission, online information transmission, video conference information transmission, and multichannel-based information transmission techniques. Case studies, features, applications, examples, and limitations of various information transmission techniques were discussed. Kamilaris et al 18 projected survey on big data analysis in agriculture. In this article, 34 agriculture works were considered for the study and different features such as tools applied, big data algorithm used, problem and proposed solution implemented, and data used were discussed. The type of plants and experimental duration and advantages and limitation of algorithms were missing. Talavera et al 14 reviewed IoT applications in environment and agroindustrial system. The authors discussed about various IoT techniques involved in monitoring, communication, logistics, energy and resource management in environment monitoring, and agroindustrial system. In this study, the authors approached all the IoT techniques with following two questions: what is the primary technical solution of IoT in environmental monitoring and agroindustrial system and which methodology and IoT components such as sensors, actuato...

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A Cloud-based Architecture for the Internet of Things targeting Industrial Devices Remote Monitoring and Control

Cited by 53 publications

References 11 publications

MQTT of IoT Classification in Energy Saving

MQTT of IoT Classification in Energy Saving

A Smart Manufacturing Service System Based on Edge Computing, Fog Computing, and Cloud Computing

Systematic review of Internet of Things in smart farming

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