A review of smart home applications based on Internet of Things

Alaa, Mussab; Zaidan, A. A.; Zaidan, B. B.; Talal, Mohammed; Kiah, Miss Laiha Mat

doi:10.1016/j.jnca.2017.08.017

Cited by 507 publications

(215 citation statements)

References 198 publications

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“…IoT wearable monitoring is an emerging area in Healthcare 4.0 and it is changing the way we capture and process our biological data. The application domain includes remote patient monitoring services, smart home (Alaa, Zaidan, Zaidan, Talal, & Kiah, 2017), hospital patient monitoring, rehabilitation (Bisio, Delfino, Lavagetto, & Sciarrone, 2017), self-tracking, performance sports (Camomilla, Bergamini, Fantozzi, & Vannozzi, 2018), and children, youths and elderly care (Misra, Mukherjee, & Roy, 2018). IoT wearable devices supported by AI-driven intelligent data processing techniques have great potential for early detection of physiological and behavioral changes and identify clinical episodes of several chronic diseases (A. R. M. Forkan, Khalil, Tari, Foufou, & Bouras, 2015).…”

Section: Iot Wearable Remote Health Care Monitoringmentioning

confidence: 99%

Healthcare 4.0: A review of frontiers in digital health

Jayaraman

Forkan

Morshed

et al. 2019

WIREs Data Min & Knowl

124

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Healthcare 4.0 is a term that has emerged recently and derived from Industry 4.0. Today, the health care sector is more digital than in past decades; for example, spreading from x‐rays and magnetic resonance imaging to computed tomography and ultrasound scans to electric medical records. With the wide spectrum of digital technologies underpinning Healthcare 4.0 to deliver more effective and efficient health care services, in this article, we use the wisdom pyramid methodology to conduct a systematic review of current digital frontiers in Healthcare 4.0. This article is categorized under: Technologies > Computer Architectures for Data Mining Application Areas > Health Care Application Areas > Data Mining Software Tools Fundamental Concepts of Data and Knowledge > Knowledge Representation

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Section: Iot Wearable Remote Health Care Monitoringmentioning

confidence: 99%

Healthcare 4.0: A review of frontiers in digital health

Jayaraman

Forkan

Morshed

et al. 2019

WIREs Data Min & Knowl

124

View full text Add to dashboard Cite

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“…The requirement of an energy efficient communication model has gained significant attention from researchers in recent years. An important attribute of 5G in solving this issue is green communication [111][112][113][114][115][116][117][118]. This is achieved by finding the minimum number of small cells that are required to be active at various times in order to meet user demand as well as minimize the power consumption.…”

Section: Challenges Of 5g Based Smart Grid Networkmentioning

confidence: 99%

Future Generation 5G Wireless Networks for Smart Grid: A Comprehensive Review

et al. 2019

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Wireless cellular networks are emerging to take a strong stand in attempts to achieve pervasive large scale obtainment, communication, and processing with the evolution of the fifth generation (5G) network. Both the present day cellular technologies and the evolving new age 5G are considered to be advantageous for the smart grid. The 5G networks exhibit relevant services for critical and timely applications for greater aspects in the smart grid. In the present day electricity markets, 5G provides new business models to the energy providers and improves the way the utility communicates with the grid systems. In this work, a complete analysis and a review of the 5G network and its vision regarding the smart grid is exhibited. The work discusses the present day wireless technologies, and the architectural changes for the past years are shown. Furthermore, to understand the user-based analyses in a smart grid, a detailed analysis of 5G architecture with the grid perspectives is exhibited. The current status of 5G networks in a smart grid with a different analysis for energy efficiency is vividly explained in this work. Furthermore, focus is emphasized on future reliable smart grid communication with future roadmaps and challenges to be faced. The complete work gives an in-depth understanding of 5G networks as they pertain to future smart grids as a comprehensive analysis.Energies 2019, 12, 2140 2 of 17 a need for an information system network that covers all the substations connected with the user facilities and the utilities. This provides the required system analysis with the needed reliable communication systems, which is an important building block of smart grid visibility.According to the communication standards, different communication technologies [11,12] can be classified based on either wired and wireless communications. Presently, wireless communications are preferred over wired communications for various reasons and in distinct applications with the reliability of cost at lower rates. This enhances infrastructure and provides readily available connections, even in remote areas. There are diverse factors, such as operational costs, environmental concerns, and availability of resources, to consider when choosing a proper, stable communication system. The voluminous and steady growth of communication technology over past decades is clearly explained in Figure 1. The development of new communication infrastructure with the existing wireless technologies can be more advantageous in smart grids. This provides advanced infrastructure where the need to spend additional cost and time [13] can be avoided. This establishes up-gradation of new wireless communication technologies for future smart grid communication systems [14][15][16][17][18][19]. For the past four decades-and marching towards the new wave of the technological era-growth of communication technologies has been an inevitable part of all modes of applications. To address prominent issues for developing new generation cellular communications, certain para...

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“…The reason for using these two different hardware platforms is to take advantage of characteristics supplied by both of them, and to include these very used, embedded open-source hardware systems in educational environments [34], at our student's disposal. Moreover, they have already been used in diverse designs of home automation [35][36][37].…”

Section: Description Of Thingsmentioning

confidence: 99%

Web of Things Platforms for Distance Learning Scenarios in Computer Science Disciplines: A Practical Approach

et al. 2019

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Problem-based learning is a widely used learning methodology in the field of technological disciplines, especially in distance education environments. In these environments, the most used tools, which provide learning scenarios, are remote and virtual laboratories. Internet of Things (IoT) devices can be used as remote or virtual laboratories. In addition to this, they can be organized/orchestrated to build remote maker spaces through the web. These types of spaces are called the Web of Things (WoT). This paper proposes the use of these types of spaces and their integration as practical activities into the curricula of technological subjects. This approach will allow us to achieve two fundamental objectives: (1) To improve the academic results (grades) of students; and (2) to increase engagement and interest of students in the studied technologies, including IoT devices. These platforms are modeled using archetypes based on different typologies and usage scenarios. In particular, these usage scenarios will implement a learning strategy for each problem to be solved. The current work shows the evolution of these archetypes and their application in the teaching of disciplines/subjects defined in computer science, such as distributed computing and cybersecurity.Technologies 2019, 7, 17 2 of 20 an application layer which allows things to be a part of the web, by means of using existing well-known standards. This way, the basics of WoT imply the use of web services programming APIs as REST (Representational State Transfer) [8], standard protocols as HTTP (Hypertext Transfer Protocol) [9], and communication technologies as WebSockets [10]. These elements are part of the application layer, which simplifies the building of applications involving the IoT [6].A first clear approach of this paradigms is the "Distributed Computing" context. This was the context of our first generation of remote laboratories, based on the IoT market. In order to achieve better learning results, the students had to program real low-cost IoT devices, managed by Raspberry Pi and Arduino Yun platforms, which were installed inside a scale mock-up of a smart house. They had to integrate them into the cloud using the WoT model. These innovative technologies are been applied inside the learning model of many courses [11,12], allowing students a smooth and natural approach to the previous mentioned technologies and their diverse applications [13][14][15][16][17].This first experience showed that there are more applications for this approach, aside from the "Distributed Computing" context. Our first generation presented some drawbacks. For instance, the creation of new experiments was ad-hoc. A computational load-balance system was also needed to avoid the fall of the services. It should take into account that the execution of processes takes place on low-cost IoT devices; these devices have reduced computational capabilities. Finally, lecturers cannot easily track the students' performance. They must search among logs to determine what actions were ca...

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A review of smart home applications based on Internet of Things

Cited by 507 publications

References 198 publications

Healthcare 4.0: A review of frontiers in digital health

Healthcare 4.0: A review of frontiers in digital health

Future Generation 5G Wireless Networks for Smart Grid: A Comprehensive Review

Web of Things Platforms for Distance Learning Scenarios in Computer Science Disciplines: A Practical Approach

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