Blockchain and 5G-Enabled Industrial Internet of Things: Application-Specific Analysis

Sreekantha, D. K.; Kulkarni, Raj; Gao, Xiao‐Zhi

doi:10.1007/978-3-030-67490-8_21

Cited by 3 publications

(1 citation statement)

References 58 publications

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“…According to scientists, the implementation of such solutions would maintain the integrity of transmitted data and have high process efficiency at the same time. Platforms integrating 5G connection with blockchain technologies for IoT are also widely discussed solutions in terms of advanced, intelligent, and efficient systems to optimize operations between machines, computers, and people [ 119 , 120 ]. In a broader perspective, the aforementioned solutions would allow the creation of “Smart Cities”, where modern technologies, including IoT, would be combined to solve communication, infrastructure, social, and pollution problems, aiming at improving the quality of life of metropolitan inhabitants [ 121 , 122 , 123 ].…”

Section: Modern Methods For Air Pollution Monitoringmentioning

confidence: 99%

Air Pollution, Oxidative Stress, and the Risk of Development of Type 1 Diabetes

et al. 2022

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Despite multiple studies focusing on environmental factors conducive to the development of type 1 diabetes mellitus (T1DM), knowledge about the involvement of long-term exposure to air pollution seems insufficient. The main focus of epidemiological studies is placed on the relationship between exposure to various concentrations of particulate matter (PM): PM1, PM2.5, PM10, and sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (O3), versus the risk of T1DM development. Although the specific molecular mechanism(s) behind the link between increased air pollution exposure and a higher risk of diabetes and metabolic dysfunction is yet unknown, available data indicate air pollution-induced inflammation and oxidative stress as a significant pathway. The purpose of this paper is to assess recent research examining the association between inhalation exposure to PM and associated metals and the increasing rates of T1DM worldwide. The development of modern and more adequate methods for air quality monitoring is also introduced. A particular emphasis on microsensors, mobile and autonomous measuring platforms, satellites, and innovative approaches of IoT, 5G connections, and Block chain technologies are also presented. Reputable databases, including PubMed, Scopus, and Web of Science, were used to search for relevant literature. Eligibility criteria involved recent publication years, particularly publications within the last five years (except for papers presenting a certain novelty or mechanism for the first time). Population, toxicological and epidemiological studies that focused particularly on fine and ultra-fine PM and associated ambient metals, were preferred, as well as full-text publications.

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Section: Modern Methods For Air Pollution Monitoringmentioning

confidence: 99%

Air Pollution, Oxidative Stress, and the Risk of Development of Type 1 Diabetes

et al. 2022

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Synergizing Blockchain, IoT, andAIwithVANETfor Intelligent Transport Solutions

Zalte¹,

Ghorpade²,

Kamat³

2022

Emerging Computing Paradigms

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A novel binary-addition simplified swarm optimization for generalized reliability redundancy allocation problem

Jiang

Liu

Chen

et al. 2023

Journal of Computational Design and Engineering

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Network systems are commonly used in various fields, such as power grids, Internet of Things, and gas networks. The reliability redundancy allocation problem is a well-known reliability design tool that needs to be developed when the system is extended from a series-parallel structure to a more general network structure. Therefore, this study proposes a novel reliability redundancy allocation problem, referred to as the general reliability redundancy allocation problem, to be applied in network systems. Because the general reliability redundancy allocation problem is NP-hard, a new algorithm referred to as binary-addition simplified swarm optimization is proposed in this study. Binary-addition simplified swarm optimization combines the accuracy of the Binary Addition Tree Algorithm with the efficiency of Simplified Swarm Optimization, which can effectively reduce the solution space and speed up the time required to find high-quality solutions. The experimental results show that binary-addition simplified swarm optimization outperforms three well-known algorithms: the Genetic Algorithm, Particle Swarm Optimization, and Simplified Swarm Optimization in high-quality solutions and high stability on six network benchmarks.

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Blockchain and 5G-Enabled Industrial Internet of Things: Application-Specific Analysis

Cited by 3 publications

References 58 publications

Air Pollution, Oxidative Stress, and the Risk of Development of Type 1 Diabetes

Air Pollution, Oxidative Stress, and the Risk of Development of Type 1 Diabetes

Synergizing Blockchain, IoT, andAIwithVANETfor Intelligent Transport Solutions

A novel binary-addition simplified swarm optimization for generalized reliability redundancy allocation problem

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