A Fog Computing and Cloudlet Based Augmented Reality System for the Industry 4.0 Shipyard

Fernández‐Caramés, Tiago M.; Fraga‐Lamas, Paula; Suárez-Albela, Manuel; Vilar-Montesinos, Miguel

doi:10.3390/s18061798

Cited by 129 publications

(77 citation statements)

References 48 publications

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“…The authors in [63] proposed an industrial ARarchitecture based on fog computing, named, Navantia's indus-trial AR(IAR). The use of IAR in smart industries leads to enhancing productivity.…”

Section: Smart Industrial Augmented Realitymentioning

confidence: 99%

Edge-Computing-Enabled Smart Cities: A Comprehensive Survey

Khan

Yaqoob

Tran

et al. 2020

IEEE Internet Things J.

301

131

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Recent years have disclosed a remarkable proliferation of compute-intensive applications in smart cities. Such applications continuously generate enormous amounts of data which demand strict latency-aware computational processing capabilities. Although edge computing is an appealing technology to compensate for stringent latency related issues, its deployment engenders new challenges. In this survey, we highlight the role of edge computing in realizing the vision of smart cities. First, we analyze the evolution of edge computing paradigms. Subsequently, we critically review the state-of-the-art literature focusing on edge computing applications in smart cities. Later, we categorize and classify the literature by devising a comprehensive and meticulous taxonomy. Furthermore, we identify and discuss key requirements, and enumerate recently reported synergies of edge computing enabled smart cities. Finally, several indispensable open challenges along with their causes and guidelines are discussed, serving as future research directions.

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Section: Smart Industrial Augmented Realitymentioning

confidence: 99%

Edge-Computing-Enabled Smart Cities: A Comprehensive Survey

Khan

Yaqoob

Tran

et al. 2020

IEEE Internet Things J.

301

131

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“…The main advantage of edge computing is its ability to offload part of the processing tasks from the cloud, delegating such tasks to the so-called edge devices, which are physically located close to the IoT nodes. Thanks to this approach, the amount of communications transactions with the cloud and latency response are reduced, while also being able to provide location-aware services [40,41].…”

Section: Cloud and Edge Computingmentioning

confidence: 99%

Towards Next Generation Teaching, Learning, and Context-Aware Applications for Higher Education: A Review on Blockchain, IoT, Fog and Edge Computing Enabled Smart Campuses and Universities

2019

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Smart campuses and smart universities make use of IT infrastructure that is similar to the one required by smart cities, which take advantage of Internet of Things (IoT) and cloud computing solutions to monitor and actuate on the multiple systems of a university. As a consequence, smart campuses and universities need to provide connectivity to IoT nodes and gateways, and deploy architectures that allow for offering not only a good communications range through the latest wireless and wired technologies, but also reduced energy consumption to maximize IoT node battery life. In addition, such architectures have to consider the use of technologies like blockchain, which are able to deliver accountability, transparency, cyber-security and redundancy to the processes and data managed by a university. This article reviews the state of the start on the application of the latest key technologies for the development of smart campuses and universities. After defining the essential characteristics of a smart campus/university, the latest communications architectures and technologies are detailed and the most relevant smart campus deployments are analyzed. Moreover, the use of blockchain in higher education applications is studied. Therefore, this article provides useful guidelines to the university planners, IoT vendors and developers that will be responsible for creating the next generation of smart campuses and universities.

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“…Fog Computing Layer • Fog Computing Layer. Its fog computing gateways provide the deployed IoT nodes with fog and sensor fusion services, which are location-aware, reduce latency response and decrease the cloud communications load [9]. • Remote Service Layer.…”

Section: Sensor Fusion Servicesmentioning

confidence: 99%

Design and Empirical Validation of a LoRaWAN IoT Smart Irrigation System

Fraga‐Lamas

Celaya-Echarri

Azpilicueta

et al. 2020

The 6th International Electronic Conference on Sensors and Applications

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In some parts of the world, climate change has led to periods of drought that require managing efficiently the scarce water and energy resources. This paper proposes an IoT smart irrigation system specifically designed for urban areas where remote IoT devices have no direct access to the Internet or to the electrical grid, and where wireless communications are difficult due to the existence of long distances and multiple obstacles. To tackle such issues, this paper proposes a LoRaWAN-based architecture that provides long distance and communications with reduced power consumption. Specifically, the proposed system consists of IoT nodes that collect sensor data and send them to local fog computing nodes or to a remote cloud, which determine an irrigation schedule that considers factors such as the weather forecast or the moist detected by nearby nodes. It is essential to deploy the IoT nodes in locations within the provided coverage range and that guarantee good speed rates and reduced energy consumption. Due to this reason, this paper describes the use of an in-house 3D-ray launching radio-planning tool to determine the best locations for IoT nodes on a real medium-scale scenario (a university campus) that was modeled with precision, including obstacles such as buildings, vegetation, or vehicles. The obtained simulation results were compared with empirical measurements to assess the operating conditions and the radio planning tool accuracy. Thus, it is possible to optimize the wireless network topology and the overall performance of the network in terms of coverage, cost, and energy consumption.

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A Fog Computing and Cloudlet Based Augmented Reality System for the Industry 4.0 Shipyard

Cited by 129 publications

References 48 publications

Edge-Computing-Enabled Smart Cities: A Comprehensive Survey

Edge-Computing-Enabled Smart Cities: A Comprehensive Survey

Towards Next Generation Teaching, Learning, and Context-Aware Applications for Higher Education: A Review on Blockchain, IoT, Fog and Edge Computing Enabled Smart Campuses and Universities

Design and Empirical Validation of a LoRaWAN IoT Smart Irrigation System

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