Enabling Massive IoT Toward 6G: A Comprehensive Survey

Guo, Fengxian; Yu, F. Richard; Zhang, Heli; Li, Xi; Ji, Hong; Leung, Victor C. M.

doi:10.1109/jiot.2021.3063686

Cited by 440 publications

(184 citation statements)

References 132 publications

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“…Compared to the latest mobile broadband network networks, the eMBB suggests exceptionally high connectivity experience and tremendous efficiency enhancement. eMBB is the roadmap to many features that were not practically possible in the 4G broadband, such as 4K videos, augmented and virtual reality, and distant education 150,151 …”

Section: G's Impact On Iot and Iiotmentioning

confidence: 99%

A way forward towards a technology‐driven development of industry 4.0 using big data analytics in 5G‐enabled IIoT

Atharvan

Krishnamoorthy

Dua

et al. 2021

Int J Communication

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Summary The evolution of Internet of Things (IoT) has led to the development of Industrial Internet of Things (IIoT). IIoT is one the widely applied areas to facilitate people in the manufacturing world. The adoption of IIoT automates sensing, capturing, communicating, and processing in real time. To understand how rapidly IoT and IIoT are growing, this article examines the emergence of 5G‐enabled IIoT, current research trends in IIoT, key milestones achieved in IIoT, and IoT applications specific to 5G‐enabled IIoT. The paper presents the state‐of‐the‐art in networking layered framework of IIoT and comparing relationships of technologies of cloud computing as well as edge computing paradigms. We also explored the type of security attacks and their preventive measures in an IIoT‐driven 5G technology. We have also highlighted the revolution of IIoT‐driven 5G framework which satisfies the demands of IIoT applications.

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Section: G's Impact On Iot and Iiotmentioning

confidence: 99%

A way forward towards a technology‐driven development of industry 4.0 using big data analytics in 5G‐enabled IIoT

Atharvan

Krishnamoorthy

Dua

et al. 2021

Int J Communication

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“…Different 5G cells, including relays, microcells, and femtocells are being proposed to support imminent coverage [11]. As a result, the next-generation network is expected to be significantly more heterogeneous, and because of the densified deployment of a small cell, users should expect to see more frequent handoffs [12][13][14][15][16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Improved Handover Authentication in Fifth-Generation Communication Networks Using Fuzzy Evolutionary Optimisation with Nanocore Elements in Mobile Healthcare Applications

Divakaran

Prashanth²,

Mohammad³

et al. 2022

Journal of Healthcare Engineering

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Authentication is a suitable form of restricting the network from different types of attacks, especially in case of fifth-generation telecommunication networks, especially in healthcare applications. The handover and authentication mechanism are one such type that enables mitigation of attacks in health-related services. In this paper, we model an evolutionary model that uses a fuzzy evolutionary model in maintaining the handover and key management to improve the performance of authentication in nanocore technology-based 5G networks. The model is designed in such a way that it minimizes the delays and complexity while authenticating the networks in 5G networks. The attacks are mitigated using an evolutionary model when it is trained with the relevant attack datasets, and the model is validated to mitigate the attacks. The simulation is conducted to test the efficacy of the model, and the results of simulation show that the proposed method is effective in improving the handling and authentication and mitigation against various types of attacks in mobile health applications.

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“…Massive machine-type communications (mMTC) is one of the major service scenarios in fifth-generation (5G) mobile communication systems, where a large number of Internetof-Things (IoT) nodes are expected to deployed in various fields of application such as environment monitoring, building management, and industrial networks [1][2][3]. In massive IoT networks, the devices generate a significant number of data, which can be exploited to streamline operational processes and develop more innovative product and services across various industries [4].…”

Section: Introductionmentioning

confidence: 99%

Opportunistic Large Array Propagation Models: A Comprehensive Survey

Nawaz

Kumar

Hassan

et al. 2021

Sensors

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Enabled by the fifth-generation (5G) and beyond 5G communications, large-scale deployments of Internet-of-Things (IoT) networks are expected in various application fields to handle massive machine-type communication (mMTC) services. Device-to-device (D2D) communications can be an effective solution in massive IoT networks to overcome the inherent hardware limitations of small devices. In such D2D scenarios, given that a receiver can benefit from the signal-to-noise-ratio (SNR) advantage through diversity and array gains, cooperative transmission (CT) can be employed, so that multiple IoT nodes can create a virtual antenna array. In particular, Opportunistic Large Array (OLA), which is one type of CT technique, is known to provide fast, energy-efficient, and reliable broadcasting and unicasting without prior coordination, which can be exploited in future mMTC applications. However, OLA-based protocol design and operation are subject to network models to characterize the propagation behavior and evaluate the performance. Further, it has been shown through some experimental studies that the most widely-used model in prior studies on OLA is not accurate for networks with networks with low node density. Therefore, stochastic models using quasi-stationary Markov chain are introduced, which are more complex but more exact to estimate the key performance metrics of the OLA transmissions in practice. Considering the fact that such propagation models should be selected carefully depending on system parameters such as network topology and channel environments, we provide a comprehensive survey on the analytical models and framework of the OLA propagation in the literature, which is not available in the existing survey papers on OLA protocols. In addition, we introduce energy-efficient OLA techniques, which are of paramount importance in energy-limited IoT networks. Furthermore, we discuss future research directions to combine OLA with emerging technologies.

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Enabling Massive IoT Toward 6G: A Comprehensive Survey

Cited by 440 publications

References 132 publications

A way forward towards a technology‐driven development of industry 4.0 using big data analytics in 5G‐enabled IIoT

A way forward towards a technology‐driven development of industry 4.0 using big data analytics in 5G‐enabled IIoT

Improved Handover Authentication in Fifth-Generation Communication Networks Using Fuzzy Evolutionary Optimisation with Nanocore Elements in Mobile Healthcare Applications

Opportunistic Large Array Propagation Models: A Comprehensive Survey

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