An NF V-powered emergency system for smart enhanced living environments

Nikoloudakis, Yannis; Markakis, Evangelos; Mastorakis, George; Pallis, Evangelos; Skianis, Charalabos

doi:10.1109/nfv-sdn.2017.8169872

Cited by 9 publications

(11 citation statements)

References 13 publications

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“…These protocols are used to support particular services provided by the ILS, for instance, the Location-to-Service Translation Protocol (LoST) protocol, which is used to determine or locate the nearest Public Safety Answering Point (PSAP) according to the geographical position of the user [ 97 , 98 ].…”

Section: Resultsmentioning

confidence: 99%

“…Usability [ 8 , 13 , 39 , 40 , 43 , 77 , 79 , 80 , 83 , 96 , 97 , 106 , 111 , 124 ]: It is linked to the user experience providing a platform easy to use that satisfy the user’s requirements. For instance, Yeh et al [ 39 ] developed a Cloud platform for parking services (e.g., search parking places, reservation, navigation), providing a useful and efficient system to end-users which satisfies the need for parking systems.…”

Section: Resultsmentioning

confidence: 99%

“…For instance, Netflix, Uber, and Amazon applications are developed using this architectural pattern [ 134 ]. Cloud-native architecture is used by [ 40 , 46 , 48 , 59 , 97 ] to be deployed in the Cloud. Thus, these indoor positioning/localisation/navigation platforms take advantage of Cloud computing or similar computing paradigms.…”

Section: Resultsmentioning

confidence: 99%

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Cloud Platforms for Context-Adaptive Positioning and Localisation in GNSS-Denied Scenarios—A Systematic Review

Quezada-Gaibor

Torres-Sospedra

Nurmi

et al. 2021

Sensors

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Cloud Computing and Cloud Platforms have become an essential resource for businesses, due to their advanced capabilities, performance, and functionalities. Data redundancy, scalability, and security, are among the key features offered by cloud platforms. Location-Based Services (LBS) often exploit cloud platforms to host positioning and localisation systems. This paper introduces a systematic review of current positioning platforms for GNSS-denied scenarios. We have undertaken a comprehensive analysis of each component of the positioning and localisation systems, including techniques, protocols, standards, and cloud services used in the state-of-the-art deployments. Furthermore, this paper identifies the limitations of existing solutions, outlining shortcomings in areas that are rarely subjected to scrutiny in existing reviews of indoor positioning, such as computing paradigms, privacy, and fault tolerance. We then examine contributions in the areas of efficient computation, interoperability, positioning, and localisation. Finally, we provide a brief discussion concerning the challenges for cloud platforms based on GNSS-denied scenarios.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Cloud Platforms for Context-Adaptive Positioning and Localisation in GNSS-Denied Scenarios—A Systematic Review

Quezada-Gaibor

Torres-Sospedra

Nurmi

et al. 2021

Sensors

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“…Moreover, the authors make note of the low battery life of smartphones due to high data traffic. Virtualized cloud-based systems have also been proposed to maintain the integrity and full availability of such systems for critical operations, such as emergency care [15]. More recently, the paradigm of IoT for medical healthcare applications was proposed in [16], which differs from the general IoT by its resource-restricted context and heterogeneous technological set up.…”

Section: Related Workmentioning

confidence: 99%

A Proof-of-Concept IoT System for Remote Healthcare Based on Interoperability Standards

Lemus

Félix

Fides-Valero

et al. 2022

Sensors

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The Internet of Things paradigm in healthcare has boosted the design of new solutions for the promotion of healthy lifestyles and the remote care. Thanks to the effort of academia and industry, there is a wide variety of platforms, systems and commercial products enabling the real-time information exchange of environmental data and people’s health status. However, one of the problems of these type of prototypes and solutions is the lack of interoperability and the compromised scalability in large scenarios, which limits its potential to be deployed in real cases of application. In this paper, we propose a health monitoring system based on the integration of rapid prototyping hardware and interoperable software to build system capable of transmitting biomedical data to healthcare professionals. The proposed system involves Internet of Things technologies and interoperablility standards for health information exchange such as the Fast Healthcare Interoperability Resources and a reference framework architecture for Ambient Assisted Living UniversAAL.

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“…Fog computing plays a vital role in healthcare. It provides real-time processing and event responses which are critical in healthcare [49]. In addition, the interaction of a large number of healthcare devices for remote storage, processing and medical record retrieval from the cloud requires a reliable network connection which is not available.…”

Section: Healthcare and Activity Trackingmentioning

confidence: 99%

Fog Computing and the Internet of Things: A Review

Atlam

Walters

Wills

2018

BDCC

486

182

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With the rapid growth of Internet of Things (IoT) applications, the classic centralized cloud computing paradigm faces several challenges such as high latency, low capacity and network failure. To address these challenges, fog computing brings the cloud closer to IoT devices. The fog provides IoT data processing and storage locally at IoT devices instead of sending them to the cloud. In contrast to the cloud, the fog provides services with faster response and greater quality. Therefore, fog computing may be considered the best choice to enable the IoT to provide efficient and secure services for many IoT users. This paper presents the state-of-the-art of fog computing and its integration with the IoT by highlighting the benefits and implementation challenges. This review will also focus on the architecture of the fog and emerging IoT applications that will be improved by using the fog model. Finally, open issues and future research directions regarding fog computing and the IoT are discussed.

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An NF V-powered emergency system for smart enhanced living environments

Cited by 9 publications

References 13 publications

Cloud Platforms for Context-Adaptive Positioning and Localisation in GNSS-Denied Scenarios—A Systematic Review

Cloud Platforms for Context-Adaptive Positioning and Localisation in GNSS-Denied Scenarios—A Systematic Review

A Proof-of-Concept IoT System for Remote Healthcare Based on Interoperability Standards

Fog Computing and the Internet of Things: A Review

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