Real-time Heart Attack Mobile Detection Service (RHAMDS): An IoT use case for Software Defined Networks

Ali, Samr; Ghazal, Mohammed

doi:10.1109/ccece.2017.7946780

Cited by 44 publications

(24 citation statements)

References 19 publications

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“…General IoT [168] Discuss the role of NFV and SDN in MEC and IoT ecosystem. General IoT [169] Present SDN-MEC based Real-time Heart Attack Mobile Detection Service (RHAMDS) by using smart watches. ehealth, WIoT [170] Present SDN-NFV based security framework which can integration with existing IoT security mechanisms.…”

Section: Network Slicingmentioning

confidence: 99%

Survey on Multi-Access Edge Computing for Internet of Things Realization

Porambage

Okwuibe

Liyanage

et al. 2018

IEEE Commun. Surv. Tutorials

649

328

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The Internet of Things (IoT) has recently advanced from an experimental technology to what will become the backbone of future customer value for both product and service sector businesses. This underscores the cardinal role of IoT on the journey towards the fifth generation (5G) of wireless communication systems. IoT technologies augmented with intelligent and big data analytics are expected to rapidly change the landscape of myriads of application domains ranging from health care to smart cities and industrial automations. The emergence of Multi-Access Edge Computing (MEC) technology aims at extending cloud computing capabilities to the edge of the radio access network, hence providing real-time, high-bandwidth, low-latency access to radio network resources. IoT is identified as a key use case of MEC, given MEC's ability to provide cloud platform and gateway services at the network edge. MEC will inspire the development of myriads of applications and services with demand for ultra low latency and high Quality of Service (QoS) due to its dense geographical distribution and wide support for mobility. MEC is therefore an important enabler of IoT applications and services which require real-time operations. In this survey, we provide a holistic overview on the exploitation of MEC technology for the realization of IoT applications and their synergies. We further discuss the technical aspects of enabling MEC in IoT and provide some insight into various other integration technologies therein.

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Section: Network Slicingmentioning

confidence: 99%

Survey on Multi-Access Edge Computing for Internet of Things Realization

Porambage

Okwuibe

Liyanage

et al. 2018

IEEE Commun. Surv. Tutorials

649

328

View full text Add to dashboard Cite

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“…The 10 articles related to the response to emergencies focused on determining emergency situations [51], autonomous vehicles [22], intelligent management of emergency vehicles [23,52,53], and emergency management applications [24,[54][55][56][57].…”

Section: Response To Emergenciesmentioning

confidence: 99%

“…Article [51] proposed an architecture integrating vehicular ad hoc networks and sensors, which was the basis for the development of a proof of concept prototype aiming to improve the response time of emergency aid to drivers with heart attack and prevent possible resulting vehicle collisions (e.g., by detecting the cardiac arrest of drivers through voice and gesture control).…”

Section: Response To Emergenciesmentioning

confidence: 99%

“…Data from smart city infrastructure [16,19,25,[29][30][31]48,49,52] Data provided by sensors inside vehicles [28,51] Data provided by video cameras [50,56] Data provided by gas sensors [37] Geo-tagged social media data [34][35][36]56] Data collected by online questionnaire [17,33] Data provided by lifestyle monitoring devices: Location [16,21,30,31,39,40,43,45,[48][49][50]55] Activity [18,20,24,31,41,42,48,49 [47] Finally, two articles reported on the use of social media [38,60] and one article, [22], reported on the development of an ambulance robot equipped with an AED. Using multiple sensors for navigation (vision and range sensors) this robot might be able to navigate from a point to a given destination without losing the correct path or hitting obstacles [22].…”

Section: Types Of Data Referencesmentioning

confidence: 99%

“…Copenhagen [58]); eight articles defined architectures [24,27,31,40,48,49,55,56], and some of them were validated (e.g., some of the components of the architecture were implemented for its validation [24] or a simulation of a use case was performed for the conceptual validation of the architecture [56]); 14 articles presented prototypes that were developed to demonstrate the feasibility of the concepts [16,17,21,22,28,30,33,34,37,47,51,54,57,60]; and four articles reported on prototypes that were assessed by real users [20,38,43,45].…”

Section: Maturity Levelmentioning

confidence: 99%

See 2 more Smart Citations

Smart Cities and Healthcare: A Systematic Review

et al. 2019

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Objectives: The study reported in this article aimed to identify: (i) the most relevant applications supported by smart city infrastructure with an impact on the provision of healthcare; (ii) the types of technologies being used; (iii) the maturity levels of the applications being reported; and (iv) major barriers for their dissemination. Methods: A systematic review was performed based on a literature search. Results: A total of 44 articles were retrieved. These studies reported on smart city applications to support population surveillance, active ageing, healthy lifestyles, disabled people, response to emergencies, care services organization, and socialization. Conclusions: Most of the included articles were either of a descriptive and conceptual nature or in an early stage of development, which means that a major barrier for their dissemination is their lack of concreteness.

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