A review on Internet of Things (IoT), Internet of Everything (IoE) and Internet of Nano Things (IoNT)

Miraz, Mahdi H.; Ali, Maaruf; Excell, Peter S.; Picking, Rich

doi:10.1109/itecha.2015.7317398

Cited by 412 publications

(215 citation statements)

References 13 publications

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“…The IoE has been used to help "automated and people-based processes" by extracting and analyzing real-time data from the millions of connected sensors [51]. IoE has been also used for environment sustainability, public policy goals, and economic goals [51].…”

Section: Applications Based On the Ioementioning

confidence: 99%

Section: Applications Based On the Ioementioning

confidence: 99%

“…IoE has been also used for environment sustainability, public policy goals, and economic goals [51]. The use of IoE has been facilitated by the expansion of cloud computing, which helps connecting everything online [51]. "Smart cities" will benefit from IoE to address city-specific concerns along with big data processing, for example, using sensors in monitoring highways and traffic, education, healthcare, agriculture, and environment [51].…”

Section: Applications Based On the Ioementioning

confidence: 99%

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Smartphone: The Ultimate IoT and IoE Device

Khaddar¹,

Boulmalf²

2017

Smartphones From an Applied Research Perspective

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Internet of Things (IoT) and Internet of Everything (IoE) are emerging communication concepts that will interconnect a variety of devices (including smartphones, home appliances, sensors, and other network devices), people, data, and processes and allow them to communicate with each other seamlessly. These new concepts can be applied in many application domains such as healthcare, transportation, and supply chain management (SCM), to name a few, and allow users to get real-time information such as location-based services, disease management, and tracking. The smartphone-enabling technologies such as built-in sensors, Bluetooth, radio-frequency identification (RFID) tracking, and nearfield communications (NFC) allow it to be an integral part of IoT and IoE world and the mostly used device in these environments. However, its use imposes severe security and privacy threats, because the smartphone usually contains and communicates sensitive private data. In this chapter, we provide a comprehensive survey on IoT and IoE technologies, their application domains, IoT structure and architecture, the use of smartphones in IoT and IoE, and the difference between IoT networks and mobile cellular networks.We also provide a concise overview of future opportunities and challenges in IoT and IoE environments and focus more on the security and privacy threats of using the smartphone in IoT and IoE networks with a suggestion of some countermeasures.

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Section: Applications Based On the Ioementioning

confidence: 99%

Section: Applications Based On the Ioementioning

confidence: 99%

Section: Applications Based On the Ioementioning

confidence: 99%

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Smartphone: The Ultimate IoT and IoE Device

Khaddar¹,

Boulmalf²

2017

Smartphones From an Applied Research Perspective

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“…New tools and techniques are being devised to handle the varied nature of the voluminous big data generated from the ubiquitous IoE devices. IoE is already exhibiting signs of completely transforming the lives of human beings (Jara et al, 2013;Ashton, 2009;Miraz et al, 2015). A typical IoE system is a collection of large number of devices which are wirelessly connected with each other and the base station.…”

Section: Introductionmentioning

confidence: 99%

“…A typical IoE system is a collection of large number of devices which are wirelessly connected with each other and the base station. These devices are embedded with micro-chip based sensors, actuators and transponders for performing the task of sensing, storing and forwarding the information about themselves and their surroundings (Jara et al, 2013;Ashton, 2009;Miraz et al, 2015). The different devices in the IoE ecosystem are generally of different make and model which usually stores unstructured data.…”

Section: Introductionmentioning

confidence: 99%

Learning analytics for IoE based educational model using deep learning techniques: architecture, challenges and applications

Ahad¹,

Tripathi²,

Agarwal³

2018

Smart Learn. Environ.

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The new generation teaching-learning pedagogy has created a complete paradigm shift wherein the teaching is no longer confined to giving the content knowledge, rather it fosters the "how, when and why" of applying this knowledge in real world scenarios. By exploiting the advantages of deep learning technology, this pedagogy can be further fine-tuned to develop a repertoire of teaching strategies. This paper presents a secured and agile architecture of an Internet of Everything (IoE) based Educational Model and a Learning Analytics System (LAS) model using the concept of deep learning which can be used to gauge the degree of learning, retention and achievements of the learners and suggests improvements and corrective measures. The paper also puts forward the advantages, applications and challenges of using deep learning techniques for gaining insights from the data generated from the IoE devices within the educational domain for creating such learning analytics systems. Finally a feature wise comparison is provided between the proposed Learning Analytics (LA) based approach and conventional teaching-learning approach in terms of performance parameters like cognition, attention, retention and attainment of learners.

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