Complementing IoT Services Through Software Defined Networking and Edge Computing: A Comprehensive Survey

Rafique, Wajid; Qi, Lianyong; Yaqoob, Ibrar; Imran, Muhammad; Rasool, Raihan Ur; Dou, Wanchun

doi:10.1109/comst.2020.2997475

Cited by 270 publications

(130 citation statements)

References 276 publications

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“…There are many standards developed within this scope. Rafique et al [154] analyzed these standards in detail by gapping them according to their characteristics. The authors emphasized that for the protocols in the IoT system, resource constraints should be considered first and standardization are of vital importance to ensure interoperability.…”

Section: Remote Services Layermentioning

confidence: 99%

Analysis of factors affecting IoT-based smart hospital design

2020

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Currently, rapidly developing digital technological innovations affect and change the integrated information management processes of all sectors. The high efficiency of these innovations has inevitably pushed the health sector into a digital transformation process to optimize the technologies and methodologies used to optimize healthcare management systems. In this transformation, the Internet of Things (IoT) technology plays an important role, which enables many devices to connect and work together. IoT allows systems to work together using sensors, connection methods, internet protocols, databases, cloud computing, and analytic as infrastructure. In this respect, it is necessary to establish the necessary technical infrastructure and a suitable environment for the development of smart hospitals. This study points out the optimization factors, challenges, available technologies, and opportunities, as well as the system architecture that come about by employing IoT technology in smart hospital environments. In order to do that, the required technical infrastructure is divided into five layers and the system infrastructure, constraints, and methods needed in each layer are specified, which also includes the smart hospital’s dimensions and extent of intelligent computing and real-time big data analytic. As a result of the study, the deficiencies that may arise in each layer for the smart hospital design model and the factors that should be taken into account to eliminate them are explained. It is expected to provide a road map to managers, system developers, and researchers interested in optimization of the design of the smart hospital system.

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Section: Remote Services Layermentioning

confidence: 99%

Analysis of factors affecting IoT-based smart hospital design

2020

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“…For given network QoS parameters, many approaches have been adopted to improve the quality of the video transmission at different layers: coding [2], [3], [4], streaming layer [5], [6] and network [7], [8].…”

Section: Positioning the Problemmentioning

confidence: 99%

On Analyzing Video Transmission Over Wireless WiFi and 5G C-Band in Harsh IIoT Environments

Batalla

2020

IEEE Access

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This paper analyzes the quality of Virtual Reality (VR) / Augmented Reality (AR) video streamed in harsh industrial environments. VR/AR is being used in the Industrial Internet of Things (IIoT) as one of the most promising applications for favouring labour conditions and increasing security, while reducing costs of manufacturing. We provide an empirical work that analyzes the impact of industrial environment within the assessment of the video quality transmitted over WiFi and 5G C-band access and discuss the impact of electromagnetic emission of industrial machines in radiocommunications (microwave bands). Even if the presented measurements are limited, they clearly show some aspects of the impact of industrial environments that should be taken into account when developing multimedia IIoT applications. Moreover, we discuss the differences between Radiocommunications technologies for building separated (private) Small Area Wireless Networks (SAWN) for the IIoT in factories.

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“…Orchestration and choreography models describe how this information should flow [ 6 , 7 ]. On the one hand, orchestration fits into a centralized model for service connection where a central element manages the state of the process and the flow of data [ 8 ]. On the other hand, choreography relies on a combination of distributed services that cooperate to provide functionality and manage the processes and the flow of data.…”

Section: Introductionmentioning

confidence: 99%

A Service Discovery Solution for Edge Choreography-Based Distributed Embedded Systems

Clavero

Montón

Palanca-Barrio

et al. 2021

Sensors

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This paper presents a solution to support service discovery for edge choreography based distributed embedded systems. The Internet of Things (IoT) edge architectural layer is composed of Raspberry Pi machines. Each machine hosts different services organized based on the choreography collaborative paradigm. The solution adds to the choreography middleware three messages passing models to be coherent and compatible with current IoT messaging protocols. It is aimed to support blind hot plugging of new machines and help with service load balance. The discovery mechanism is implemented as a broker service and supports regular expressions (Regex) in message scope to discern both publishing patterns offered by data providers and client services necessities. Results compare Control Process Unit (CPU) usage in a request–response and datacentric configuration and analyze both regex interpreter latency times compared with a traditional message structure as well as its impact on CPU and memory consumption.

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Complementing IoT Services Through Software Defined Networking and Edge Computing: A Comprehensive Survey

Cited by 270 publications

References 276 publications

Analysis of factors affecting IoT-based smart hospital design

Analysis of factors affecting IoT-based smart hospital design

On Analyzing Video Transmission Over Wireless WiFi and 5G C-Band in Harsh IIoT Environments

A Service Discovery Solution for Edge Choreography-Based Distributed Embedded Systems

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