Development of a Context-aware framework for the Integration of Internet of Things and Cloud Computing for Remote Monitoring Services

Al-Shdifat, Ali; Emmanouilidis, Christos

doi:10.1016/j.promfg.2018.10.155

Cited by 14 publications

(6 citation statements)

References 12 publications

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“…Cloud computing enables hosted services to be delivered more efficiently through a software development platform to process the large amount of data generated by the IoT. [69,87,88] Additive Manufacturing Additive layer fabrication is used to construct or assemble parts so that the product prototype can be available quickly and changed according to the customer's needs. With the advances of the Fourth Industrial Revolution and increasing technological adaptation, the capacity of additive manufacturing has grown from the optimization of configurations.…”

Section: Technology Category Main Ideas Authorsmentioning

confidence: 99%

The Impacts of the Fourth Industrial Revolution on Smart and Sustainable Cities

et al. 2021

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This article aims to analyze the impacts of the Fourth Industrial Revolution on the implementation of smart sustainable cities. For this purpose, a data mining process was conducted to analyze the terms that had a higher incidence in the literature in order to classify them by relevance and identify their interdependencies in the concepts of sustainable cities and smart cities. As a result, we highlight that the Fourth Industrial Revolution will have implications on several factors that are deeply connected to the success of cities in becoming sustainable: job creation, industries, innovation, environmental preservation, community involvement, and accessibility. In this context, policymakers will have opportunities and challenges that must be faced. Big data, the IoT, augmented reality, and simulations can have positive and negative externalities. Positive externalities include new information that could be mined, analyzed, and used for identifying previously unseen problems, the provision of new industrial innovations that can make economies thrive, helping promote inclusion for disabled people, as well as helping society to foresee problems and hence adapt to them in a timely manner.

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Section: Technology Category Main Ideas Authorsmentioning

confidence: 99%

The Impacts of the Fourth Industrial Revolution on Smart and Sustainable Cities

et al. 2021

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“…In this regard, the context management component is where the logic for representing the context is defined. There are many techniques available for data modeling, e.g., logic-based, markup, key-value, object-oriented, graphical, and ontology-based [33]. In our proposal, the ontology-based modeling technique was selected, taking advantage of the wide set of smart data models currently available.…”

Section: Context Managementmentioning

confidence: 99%

Enabling Context-Aware Data Analytics in Smart Environments: An Open Source Reference Implementation

Muñoz-Arcentales

López-Pernas

Conde

et al. 2021

Sensors

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In recent years, many proposals of context-aware systems applied to IoT-based smart environments have been presented in the literature. Most previous works provide a generic high-level structure of how a context-aware system can be operationalized, but do not offer clues on how to implement it. On the other hand, there are many implementations of context-aware systems applied to specific IoT-based smart environments that are context-specific: it is not clear how they can be extended to other use cases. In this article, we aim to provide an open-source reference implementation for providing context-aware data analytics capabilities to IoT-based smart environments. We rely on the building blocks of the FIWARE ecosystem and the NGSI data standard, providing an agnostic end-to-end solution that considers the complete data lifecycle, covering from data acquisition and modeling, to data reasoning and dissemination. In other words, our reference implementation can be readily operationalized in any IoT-based smart environment regardless of its field of application, providing a context-aware solution that is not context-specific. Furthermore, we provide two example use cases that showcase how our reference implementation can be used in a variety of fields.

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“…These configurations, such as quality of service [53] and temporary memory technologies, provide compensation for the time delay required to minimize the uncertainty in the transmission of data in a critical time interval. Likewise, the implementation of a robust network [54][55] protects against data distortion during transmission, taking into account that industrial networks are specially designed for critical data transmission in multiple industrial applications [23].…”

Section: Characterization Of the System For Remote Monitoringmentioning

confidence: 99%

Traffic characterization in a communications channel for monitoring and control in real-time systems

Serna-Guarín

Morantes-Guzmán

Delgado-Trejos

et al. 2020

IJEEI

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The response time for remote monitoring and control in real-time systems is a sensitive issue in device interconnection elements. Therefore, it is necessary to analyze the traffic of the communication system in pre-established time windows. In this paper, a methodology based on computational intelligence is proposed for identifying the availability of a data channel and the variables or characteristics that affect the performance and data transfer, which is made up of four stages: a) integration of a communication system with an acquisition module and a final control structure; b) communication channel characterization by means of traffic variables; and c) relevance analysis from the characterization space using SFFS (sequential forward oating selection); d) Channel congestion classification as Low or High using a classifier based on Naive Bayes algorithm. The experimental setup emulates a real process using an on/off remote control of a DC motor on an Ethernet network. The communication time between the client and server was integrated with the operation and control times, to study the whole response time. This proposed approach allows support decisions about channel availability, to establish predictions about the length of the time window when the availability conditions are unknown.

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Development of a Context-aware framework for the Integration of Internet of Things and Cloud Computing for Remote Monitoring Services

Cited by 14 publications

References 12 publications

The Impacts of the Fourth Industrial Revolution on Smart and Sustainable Cities

The Impacts of the Fourth Industrial Revolution on Smart and Sustainable Cities

Enabling Context-Aware Data Analytics in Smart Environments: An Open Source Reference Implementation

Traffic characterization in a communications channel for monitoring and control in real-time systems

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