Reinforcement Learning Rebirth, Techniques, Challenges, and Resolutions

Shafik, Wasswa; Matinkhah, S. Mojtaba; Etemadinejad, Parisa; Sanda, Mammann Nur

doi:10.30630/joiv.4.3.376

Cited by 13 publications

(8 citation statements)

References 86 publications

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“…This depicts new request rates to nodes from the IoT, where the show the fitness factor between the zeros to one in equation (1). The dispensation control of the fog protuberance is shown by indicating the number of instructions per second.…”

Section: Methodsmentioning

confidence: 99%

“…Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals, or people that are provided with unique identifiers (UIDs) and the ability to transfer data over a network without requiring human-to-human or human-to-computer interaction. One of the revolutions that have provided infinite benefits to society is the Internet of Things (IoT) [1]. Their applicability is seen in transportation, healthcare system, organizations, or industrial automation and has gained much attraction.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Internet of Things-Based Energy Efficiency Optimization Model in Fog Smart Cities

Shafik

Matinkhah

Sanda

et al. 2021

JOIV : Int. J. Inform. Visualization

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In recent years, the IoT) Internet of Things (IoT) allows devices to connect to the Internet that has become a promising research area mainly due to the constant emerging of the dynamic improvement of technologies and their associated challenges. In an approach to solve these challenges, fog computing came to play since it closely manages IoT connectivity. Fog-Enabled Smart Cities (IoT-ESC) portrays equitable energy consumption of a 7% reduction from 18.2% renewable energy contribution, which extends resource computation as a great advantage. The initialization of IoT-Enabled Smart Grids including (FESC) like fog nodes in fog computing, reduced workload in Terminal Nodes services (TNs) that are the sensors and actuators of the Internet of Things (IoT) set up. This paper proposes an integrated energy-efficiency model computation about the response time and delays service minimization delay in FESC. The FESC gives an impression of an auspicious computing model for location, time, and delay-sensitive applications supporting vertically -isolated, service delay, sensitive solicitations by providing abundant, ascendable, and scattered figuring stowage and system associativity. We first reviewed the persisting challenges in the proposed state-of-the models and based on them. We introduce a new model to address mainly energy efficiency about response time and the service delays in IoT-ESC. The iFogsim simulated results demonstrated that the proposed model minimized service delay and reduced energy consumption during computation. We employed IoT-ESC to decide autonomously or semi-autonomously whether the computation is to be made on Fog nodes or its transfer to the cloud.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Internet of Things-Based Energy Efficiency Optimization Model in Fog Smart Cities

Shafik

Matinkhah

Sanda

et al. 2021

JOIV : Int. J. Inform. Visualization

Self Cite

View full text Add to dashboard Cite

show abstract

“…The non-access stratum besides the signalling protocol: radio resource control provides 4G air interface traffic with credibility and replay protection. The 4G traffic backhaul will then be encrypted via IPsec protocols [50].…”

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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“…Systematic approaches of the various engineering disciplines engaged in green engineering include sustainable designs, life cycle analysis, pollution prevention, design for the environment, design for disassembly, and design for recycling. As such, green engineering is a subset of sustainable engineering [6]. Figure 4 shows an increase in urbanization from 1990 to 2014 and a projection for 2050.…”

Section: Skills and Employmentmentioning

confidence: 99%

Green Internet of Things and Big Data Application in Smart Cities Development

et al. 2021

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This study reveals that increases in the global population command an augmented demand for products and services that calls for more effective ways of using existing natural resources and materials. The recent development of information and communication technologies, which had a great impact on many areas, also had a damaging effect on the environment and human health. Therefore, societies are moving toward a greener future by reducing the consumption of nonrenewable materials, raw materials, and resources while at the same time decreasing energy pollution and consumption. Since information technology is considered a tool for solving ecological difficulties, the green Internet of things (G-IoT) is playing a vital role in creating a sustainable home. Extensive data analysis is required to obtain a valuable overview of the large and diverse data generated by the G-IoT. The gathered information will facilitate forecasting, decision-making, and other activities related to smart urban services and then contribute to the incessant development of G-IoT technology. Therefore, even if sustainable and smart cities become an actuality, the G-IoT approach and the knowledge gained through big data (BD) analysis will make cities more sustainable, safer, and smarter. The goal of this article is to combine innovation in technological development with the main focus on resource sharing in creating cities that improve the quality of life while reducing pollution and realizing more efficient use of the raw materials. In the practice of big data science, it is always of interest to provide the best description of the data under consideration. Recent studies have pointed out the applicability of the statistical distributions in modeling data in applied sciences. In this article, we introduce a new family of statistical models to provide the best description of the life span of the wireless sensors network’s data. Based on the proposed approach, a special submodel called new exponent power-Weibull distribution is studied in detail. The applicability of the proposed model is shown by analyzing the life span of the wireless sensors network’s data.

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Reinforcement Learning Rebirth, Techniques, Challenges, and Resolutions

Cited by 13 publications

References 86 publications

Internet of Things-Based Energy Efficiency Optimization Model in Fog Smart Cities

Internet of Things-Based Energy Efficiency Optimization Model in Fog Smart Cities

Overview of 5G & Beyond Security

Green Internet of Things and Big Data Application in Smart Cities Development

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