Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges

Marjani, Mohsen; Nasaruddin, Fariza Hanum; Gani, Abdullah; Karim, Ahmad; Hashem, Mohamed; Siddiqa, Aisha; Yaqoob, Ibrar

doi:10.1109/access.2017.2689040

Cited by 714 publications

(151 citation statements)

References 63 publications

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“…An important part of IoT healthcare is obtaining insights from large data generated by IoT devices. The focus of [53] was on IoT architecture, opportunities and challenges, but from the data analysis point of view. In this paper a brief overview of research efforts directed toward IoT data analytics, as well as the relationship between Big Data analytics and IoT were given.…”

Section: Big Iot Data For Remote Health Monitoringmentioning

confidence: 99%

Medical Data Processing and Analysis for Remote Health and Activities Monitoring

Vitabile

Marks

Stojanović

et al. 2019

Lecture Notes in Computer Science

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Recent developments in sensor technology, wearable computing, Internet of Things (IoT), and wireless communication have given rise to research in ubiquitous healthcare and remote monitoring of human's health and activities. Health monitoring systems involve processing and analysis of data retrieved from smartphones, smart watches, smart bracelets, as well as various sensors and wearable devices. Such systems enable continuous monitoring of patients psychological and health conditions by sensing and transmitting measurements such as heart rate, electrocardiogram, body temperature, respiratory rate, chest sounds, or blood pressure. Pervasive healthcare, as a relevant application domain in this context, aims at revolutionizing the delivery of medical services through a medical assistive environment and facilitates the independent living of patients. In this chapter, we discuss (1) data collection, fusion, ownership and privacy issues; (2) models, technologies and solutions for

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Section: Big Iot Data For Remote Health Monitoringmentioning

confidence: 99%

Medical Data Processing and Analysis for Remote Health and Activities Monitoring

Vitabile

Marks

Stojanović

et al. 2019

Lecture Notes in Computer Science

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“…Devices and sensors enable information to be shared across in an appropriate manner and communicate with a smart environment, this is offered by the Internet of Things which is the next innovative technology that has been adopted recently by different wireless technologies to benefit from the opportunities offered by the Internet technology (Marjani et al, 2017). Home appliances such as air conditioners, TVs, water heaters and all the surrounding electronic equipment are connected to the Internet of Things that can be controlled remotely to facilitate daily life operations (Marjani et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…Storing, processing and analyzing the growing amount of data or big data is inadequate using traditional database systems. Big data is somewhat new in IT and business but has been used in previous literature (Marjani et al, 2017). (Marjani et al, 2017) BDA is the ideal first step towards a smarter city.…”

Section: Introductionmentioning

confidence: 99%

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A Proposed Framework for Reducing Electricity Consumption in Smart Homes using Big Data Analytics

Shaker¹,

Khedr²,

Kholeif³

2019

Journal of Computer Science

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Smart homes with smart technologies can provide better insights into saving energy and improving the quality of our life. All connected appliances are Internet of Things (IoT) devices that support applications inside a smart home which produce an amount of data that shows what households are doing during their daily life. IoT and Big Data Analytics (BDA) became the most popular technologies in our smart life that are rapidly affecting all areas of technologies and businesses to increase the benefits for organizations and individuals. This research paper contains a review study for recent papers with different techniques that discusses BDA challenges and benefits of a smart home and its relationship with IoT. Moreover, the research paper also contains a proposed approach with its technique (clustering algorithm) for analysing data to solve the main research problem of the large power crisis in Egypt due to the high electricity consumption. Thus, using associate rule to recommend actions based on these data to reduce electricity consumption in different houses in Egypt based on each inhabitant's interest.

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“…IoT/Big Data Architecture: The development of big data and the IoT is rapidly accelerating and influencing all areas of technology and business [3]. The big data revolution promises to transform how we live, work, and think by employing optimization processes, empowering insight discovery, and improving decision-making [4].…”

mentioning

confidence: 99%

Intelligent Micro Energy Grid in 5G Era: Platforms, Business Cases, Testbeds, and Next Generation Applications

et al. 2019

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As fifth-generation mobile communication systems give rise to new smart grid technologies, such as distributed energy resources, advanced communication systems, the Internet of Things, and big data analytics, the development of novel platforms and business models that ensure reliability and profitability of microgrid operations become increasingly important. In this study, we introduce an open micro energy grid platform to operate the widely distributed microgrids in Korea. Subsequently, we present commercial microgrid business models supported by the open micro energy grid platform equipped with an artificial intelligence engine and provide test results from testbeds connected to the platform. In contrast to the existing microgrid business models in the market, we propose a universal architecture and business model of the future microgrid, comprising (i) an energy robot-management operation business model, (ii) electric vehicle-based demand response, (iii) blockchain technology for energy trading, and (iv) a service-oriented business model. Finally, we propose a new business model for an intelligent virtual power plant (VPP) operator along with the architecture of the VPP and its proof of concept (PoC). We expect the proposed business model to provide energy solution providers with guidelines to develop various VPP services.

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Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges

Cited by 714 publications

References 63 publications

Medical Data Processing and Analysis for Remote Health and Activities Monitoring

Medical Data Processing and Analysis for Remote Health and Activities Monitoring

A Proposed Framework for Reducing Electricity Consumption in Smart Homes using Big Data Analytics

Intelligent Micro Energy Grid in 5G Era: Platforms, Business Cases, Testbeds, and Next Generation Applications

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