Smart Grid Empowered By 5G Technology

Matinkhah, S. Mojtaba; Shafik, Wasswa

doi:10.1109/sgc49328.2019.9056590

Cited by 21 publications

(8 citation statements)

References 13 publications

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“…An early submission was focused on this current generation of technology, termed the fifth generation, which is expected to be focusing on the speed of execution and computation with pricing models [12]. Analyzed to different communication broadcasts and admission of requests [13] and [14].…”

Section: Maintenance and Indistinguishable Acknowledgmentmentioning

confidence: 99%

“…Analyzed to different communication broadcasts and admission of requests [13] and [14]. It was revealed that security and privacy are the most persisting and existing major challenges as different nets prevail [15] and [16]. This is examined during performance evaluation that was carried out in modern technologies and packet loss possibilities, depicting ways of its management [17] and [18].…”

Section: Maintenance and Indistinguishable Acknowledgmentmentioning

confidence: 99%

See 1 more Smart Citation

A reawakening of Machine Learning Application in Unmanned Aerial Vehicle: Future Research Motivation

Shafik

Matinkhah

Shokoor

et al. 2022

EAI Endorsed Trans IoT

Self Cite

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Machine learning (ML) entails artificial procedures that improve robotically through experience and using data. Supervised, unsupervised, semi-supervised, and Reinforcement Learning (RL) are the main types of ML. This study mainly focuses on RL and Deep learning, since necessitates mainly sequential and consecutive decision-making context. This is a comparison to supervised and non-supervised learning due to the interactive nature of the environment. Exploiting a forthcoming accumulative compensation and its stimulus of machines, complex policy decisions. The study further analyses and presents ML perspectives depicting state-of-the-art developments with advancement, relatively depicting the future trend of RL based on its applicability in technology. It's a challenge to an Internet of Things (IoT) and demonstrates what possibly can be adopted as a solution. This study presented a summarized perspective on identified arenas on the analysis of RL. The study scrutinized that a reasonable number of the techniques engrossed in alternating policy values instead of modifying other gears in an exact state of intellectual. The study presented a strong foundation for the current studies to be adopted by the researchers from different research backgrounds to develop models, and architectures that are relevant.

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Section: Maintenance and Indistinguishable Acknowledgmentmentioning

confidence: 99%

Section: Maintenance and Indistinguishable Acknowledgmentmentioning

confidence: 99%

A reawakening of Machine Learning Application in Unmanned Aerial Vehicle: Future Research Motivation

Shafik

Matinkhah

Shokoor

et al. 2022

EAI Endorsed Trans IoT

Self Cite

View full text Add to dashboard Cite

show abstract

“…4G networks continue to suffer thousands of attacks and emerging challenges to Internet security, considering the consistent IP connection of the 4G core network to the Web. A wide variety of Internetbased threats, like TCP SYN DoS, IP address spoofing, User ID hacking, Network Hacking (ToS), intrusion attacks, and DoS (denial IP address), are vulnerable to 4G networks [51]. In addition, a certain amount of natural security was available for pre-4G networks due to the use of none of the key network IP protocols.…”

Section: G Security and Risk Environmentmentioning

confidence: 99%

Overview of 5G & Beyond Security

Shokoor

Shafik

Matinkhah

2022

EAI Endorsed Trans IoT

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Network security is a crucial concern when it comes to computation, concerns like threats can have high consequences, and critical information will be shared with unauthorized persons. This paper presents a detailed survey on Fifth Generation (5G) and security aspect. This is more predictable since the core technology; the synonymous approach is possible with Fifth Generation (5G) and Beyond Technologies though with limited access. Many incidents have shown that the possibility of a hacked wireless network, not just impacts privacy and security worries, but also hinders the diverse dynamics of the ecosystem. Security attacks have grown in frequency and severity throughout the near past, making detection mechanisms harder.

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“…Several present works addressing security issues in the domain of SG by blockchain are presented, and important research challenges and future research directions of the application of blockchain in security issues of the smart grid are also discussed. e framework for SG communication's predicted capabilities and capacities is presented in [41]. e studies and solutions in which 5G is used to empower the applicability of smart grids are surveyed.…”

Section: Edge Computingmentioning

confidence: 99%

Edge Computing for IoT-Enabled Smart Grid

Mehmood

Oad

Abrar

et al. 2021

Security and Communication Networks

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Smart grid is a new vision of the conventional power grid to integrate green and renewable technologies. Smart grid (SG) has become a hot research topic with the development of new technologies, such as IoT, edge computing, artificial intelligence, big data, 5G, and so on. The efficiency of SG will be increased by smart embedded devices that have intelligent decision-making ability. Various types of sensors and data sources will collect data of high resolution. One of the vital challenges for IoT is to manage a large amount of data produced by sensors. Sending this massive amount of data directly to the cloud will create problems of latency, security, privacy, and high bandwidth utilization. This issue is addressed by edge computing (EC). In EC, the data are processed at the edge of the network that is near the embedded gadgets. This paper provides a comprehensive review of the smart grid systems, based on IoT and EC. The development in the rising technologies, the framework for EC-IoT-based SG, and requirements to implement the EC-IoT-based SG system are highlighted in the paper. Framework for EC-IoT-based SG is examined, and important requirements to implement the EC-IoT-based SG system are outlined. Finally, some critical issues and challenges faced in the implementation of EC-IoT-based SG systems are identified. Some important open research issues are also identified.

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Smart Grid Empowered By 5G Technology

Cited by 21 publications

References 13 publications

A reawakening of Machine Learning Application in Unmanned Aerial Vehicle: Future Research Motivation

A reawakening of Machine Learning Application in Unmanned Aerial Vehicle: Future Research Motivation

Overview of 5G & Beyond Security

Edge Computing for IoT-Enabled Smart Grid

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