Smart Healthcare: An Approach for Ubiquitous Healthcare Management Using IoT

Mohapatra, Subasish; Mohanty, Suchismita; Mohanty, Subhadarshini

doi:10.1016/b978-0-12-818146-1.00007-6

Cited by 32 publications

(17 citation statements)

References 11 publications

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“…e following are the detail answer of each research question. A healthcare monitoring system using random forest and internet of ings (IoT) 2 [11] Smart Healthcare: An Approach for Ubiquitous Healthcare Management Using IoT 3 [12] Smart ambulance system using concept of big data and internet of things 4 [13] Internet of things, smart sensors, and pervasive systems: Enabling connected and pervasive healthcare 5 [14] A hybrid framework for multimedia data processing in IoT-healthcare using blockchain technology 6 [15] An approach to develop the smart health using Internet of ings and authentication based on biometric technology 7 [16] Context-aware anonymous authentication protocols in the internet of things dedicated to e-health applications 8 [17] Edge computing for Internet of ings: A survey, e-healthcare case study and future direction 9 [18] Edge-of-things computing framework for cost-effective provisioning of healthcare data [19] Enabling technologies for fog computing in healthcare IoT systems [20] Harnessing the power of Internet of ings based connectivity to improve healthcare [21] Internet of ings (IoT), mobile cloud, cloudlet, mobile IoT, IoT cloud, fog, mobile edge, and edge emerging computing paradigms: Disambiguation and research directions [22] Internet of ings: A survey of enabling technologies in healthcare and its applications [5] Mobile cloud computing based stroke healthcare system [23] Mobile edge computing based QoS optimization in medical healthcare applications [24] Paradigm of IoT big data analytics in the healthcare industry: A review of scientific literature and mapping of research trends [25] Policy-based access control for constrained healthcare resources [26] Smart integrated IoT healthcare system for cancer care [27] Enabling mass surveillance: data aggregation in the age of big data and the Internet of ings [28] Applying a mindfulness-based reliability strategy to the Internet of ings in healthcare-A business model in the Vietnamese market [29] A Smart Healthcare Monitoring System Using Smartphone Interface [30] A study on medical Internet of ings and Big Data in personalized healthcare system [31] An IoT architecture for preventive maintenance of medical devices in healthcare organizations [32] An IOT Based Smart Mobile Health Monitoring System [33] Context-aware pseudon...…”

Section: Overview Of Selected Studies and Resultsmentioning

confidence: 99%

Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review

Nazir

Ali

Ullah

et al. 2019

Wireless Communications and Mobile Computing

141

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The impact of Internet of Things has been revolutionized in all fields of life, but its impact on the healthcare system has been significant due to its cutting edge transition. The role of Internet of Things becomes more dominant when it is supported by the features of mobile computing. The mobile computing extends the functionality of IoT in healthcare environment by bringing a massive support in the form of mobile health (m-health). In this research, a systematic literature review protocol is proposed to study how mobile computing assists IoT applications in healthcare, contributes to the current and future research work of IoT in the healthcare system, brings privacy and security in health IoT devices, and affects the IoT in the healthcare system. Furthermore, the intentions of the paper are to study the impacts of mobile computing on IoT in healthcare environment or smart hospitals in light of our systematic literature review protocol. The proposed study reports the papers that were included based on filtering process by title, abstract, and contents, and a total of 116 primary studies were included to support the proposed research. These papers were then analysed for research questions defined for the proposed study.

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Section: Overview Of Selected Studies and Resultsmentioning

confidence: 99%

Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review

Nazir

Ali

Ullah

et al. 2019

Wireless Communications and Mobile Computing

141

View full text Add to dashboard Cite

show abstract

“…Another important fact is the possibility to use healthcare systems for patients' health monitoring to keep them out of hospitals and, thus, improve hospital resource management. Furthermore, employing IoT devices for monitoring patients remotely enables them to receive medical care ubiquitously [24]. By analyzing the e-Health scenarios, we can affirm that each one can be enclosed in at least one of the goals: (i) mobility support [25]; (ii) ambient assisted living (AAL) [26]; and (iii) in-hospital treatment [8].…”

Section: E-health Scenariosmentioning

confidence: 92%

Looking at Fog Computing for E-Health through the Lens of Deployment Challenges and Applications

Vilela

Rodrigues

Righi

et al. 2020

Sensors

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Fog computing is a distributed infrastructure where specific resources are managed at the network border using cloud computing principles and technologies. In contrast to traditional cloud computing, fog computing supports latency-sensitive applications with less energy consumption and a reduced amount of data traffic. A fog device is placed at the network border, allowing data collection and processing to be physically close to their end-users. This characteristic is essential for applications that can benefit from improved latency and response time. In particular, in the e-Health field, many solutions rely on real-time data to monitor environments, patients, and/or medical staff, aiming at improving processes and safety. Therefore, fog computing can play an important role in such environments, providing a low latency infrastructure. The main goal of the current research is to present fog computing strategies focused on electronic-Health (e-Health) applications. To the best of our knowledge, this article is the first to propose a review in the scope of applications and challenges of e-Health fog computing. We introduce some of the available e-Health solutions in the literature that focus on latency, security, privacy, energy efficiency, and resource management techniques. Additionally, we discuss communication protocols and technologies, detailing both in an architectural overview from the edge devices up to the cloud. Differently from traditional cloud computing, the fog concept demonstrates better performance in terms of time-sensitive requirements and network data traffic. Finally, based on the evaluation of the current technologies for e-Health, open research issues and challenges are identified, and further research directions are proposed.

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“…Real-time Remote Healthcare: The success of remote healthcare solutions primarily depends on both the quality as well as the availability of connectivity [9]. Concerning the former, we note that through its use of key enabling technologies such as THz band communications and network automation solutions, 6G will usher in the highest possible wireless communications quality focusing on very-high throughput augmented with ultra-low latency.…”

Section: Use Casesmentioning

confidence: 99%

6G and Beyond: The Future of Wireless Communications Systems

2020

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The next generation of wireless communication networks, or 6G, will fulfill the requirements of a fully connected world and provide ubiquitous wireless connectivity for all. Transformative solutions are expected to drive the surge for accommodating a rapidly growing number of intelligent devices and services. Major technological breakthroughs to achieve connectivity goals within 6G include: (i) a network operating at the THz band with much wider spectrum resources, (ii) intelligent communication environments that enable a wireless propagation environment with active signal transmission and reception, (iii) pervasive artificial intelligence, (iv) large-scale network automation, (v) an all-spectrum reconfigurable front-end for dynamic spectrum access, (vi) ambient backscatter communications for energy savings, (vii) the Internet of Space Things enabled by CubeSats and UAVs, and (viii) cell-free massive MIMO communication networks. In this roadmap paper, use cases for these enabling techniques as well as recent advancements on related topics are highlighted, and open problems with possible solutions are discussed, followed by a development timeline outlining the worldwide efforts in the realization of 6G. Going beyond 6G, promising early-stage technologies such as the Internet of NanoThings, the Internet of BioNanoThings, and quantum communications, which are expected to have a far-reaching impact on wireless communications, have also been discussed at length in this paper.

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Smart Healthcare: An Approach for Ubiquitous Healthcare Management Using IoT

Cited by 32 publications

References 11 publications

Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review

Internet of Things for Healthcare Using Effects of Mobile Computing: A Systematic Literature Review

Looking at Fog Computing for E-Health through the Lens of Deployment Challenges and Applications

6G and Beyond: The Future of Wireless Communications Systems

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