Metaverse applications in smart cities: Enabling technologies, opportunities, challenges, and future directions

Internet of Things, Год журнала: 2023, Номер 23, С. 100884 - 100884

Опубликована: Июль 29, 2023

Recent years have witnessed a global trend toward the metaverse. The metaverse is collection of immersive and interconnected digital spaces in which users can interact through computer-generated environments. As smart cities aim to enhance experiences their citizens by improving infrastructure, modernizing government services, increasing accessibility, accelerating economic growth, promoting sustainability, has potential significantly revolutionize, reshape, transform cities. In this paper, we discuss how leveraging for stimulate innovations bring about major improvements. We key enabling technologies metaverse, along with premier benefits adopting technology opportunities it presents city applications. present ongoing projects case studies showcase practicality across various industries. Furthermore, identify critical research challenges that currently impede realization full Finally, outline future directions be pursued further development its integration

Язык: Английский

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When Digital Economy Meets Web3.0: Applications and Challenges

IEEE Open Journal of the Computer Society, Год журнала: 2022, Номер 3, С. 233 - 245

Опубликована: Янв. 1, 2022

With the continuous development of web technology, Web 3.0 has attracted a considerable amount attention due to its unique decentralized characteristics. The digital economy is an important driver high-quality economic and currently in rapid stage. In scenario, centralized nature Internet other characteristics usually bring about security issues such as infringement privacy leakage. Therefore, it necessary investigate how use technologies solve pain points encountered by fully exploring critical 3.0. this paper, we discuss aspects that should be integrated with better find entry point problems examining latest advances machine learning, finance, data management. We hope research will inspire those who are involved both academia industry, finally help build favourable ecology for economy.

Язык: Английский

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How Does the Metaverse Shape Education? A Systematic Literature Review

Applied Sciences, Год журнала: 2023, Номер 13(9), С. 5682 - 5682

Опубликована: Май 5, 2023

In recent years, the potential of metaverse as a tool to connect people has been increasingly recognized. The opportunities offered by seem enormous in many sectors and fields application. However, on academic side, although growing number papers have found address adoption metaverse, clear overview solutions place their impact education largely neglected so far. context increasing challenges with this review aims investigate role education. This contribution research gap offering state-of-the-art analysis plays relation future work. study is based systematic approach performed means Preferred Reporting Items for Systematic Review Meta-Analyses (PRISMA) protocol. findings help us better understand benefits, risks immersive innovative learning experiences. Implications are discussed streams investigation identified.

Язык: Английский

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Mapping Metaverse Research: Identifying Future Research Areas Based on Bibliometric and Topic Modeling Techniques

Information, Год журнала: 2023, Номер 14(7), С. 356 - 356

Опубликована: Июнь 22, 2023

The metaverse represents an immersive digital environment that has garnered significant attention as a result of its potential to revolutionize various industry sectors and profound societal impact. While academic interest in the surged, dearth comprehensive review articles employing bibliometric techniques remains. This study seeks address this gap by analyzing 595 metaverse-related journal using topic modeling techniques, marking first kind investigate profile research. findings reveal exponential growth research since 2020, identifying major trends, prolific authors, most active journals field. A keyword co-occurrence analysis further uncovers four clusters interests, highlighting unique facets underscoring far-reaching implications across sectors, including education, healthcare, retail, tourism. emphasizes need for more collaboration advancing field presents 27 questions future investigation. serves foundation understanding current state trajectory.

Язык: Английский

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Toward Metaverse of everything: Opportunities, challenges, and future directions of the next generation of visual/virtual communications

Journal of Network and Computer Applications, Год журнала: 2023, Номер 217, С. 103675 - 103675

Опубликована: Июнь 3, 2023

Язык: Английский

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Artificial Intelligence in Smart Cities—Applications, Barriers, and Future Directions: A Review

Smart Cities, Год журнала: 2024, Номер 7(3), С. 1346 - 1389

Опубликована: Июнь 10, 2024

As urbanization continues to pose new challenges for cities around the world, concept of smart is a promising solution, with artificial intelligence (AI) playing central role in this transformation. This paper presents literature review AI solutions applied cities, focusing on its six main areas: mobility, environment, governance, living, economy, and people. The analysis covers publications from 2021 2024 available Scopus. examines application each area identifies barriers, advances, future directions. authors set following goals analysis: (1) identify applications using cities; (2) barriers implementation (3) explore directions usage cities.

Язык: Английский

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Metaverse for smart cities: A survey

Internet of Things and Cyber-Physical Systems, Год журнала: 2024, Номер 4, С. 203 - 216

Опубликована: Янв. 1, 2024

The concept of a smart city is geared towards enhancing convenience and the efficient management areas through innovation. As Metaverse rises in 2020s, providing possible direction for new generation Internet, it has huge number opportunities to promote cities. can empower cities various aspects. In this article, we provide detailed review based on technologies. Firstly, introduce describe future vision applications cities, which are Metaverse. addition, discuss essential technologies currently available solutions. Additionally, have some concerns regarding potential there still unresolved issues that should be addressed. purpose article researchers developers with guidance propel development

Язык: Английский

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Human-Centered Interaction in Virtual Worlds: A New Era of Generative Artificial Intelligence and Metaverse

International Journal of Human-Computer Interaction, Год журнала: 2024, Номер unknown, С. 1 - 43

Опубликована: Фев. 27, 2024

The metaverse has emerged as an exciting new paradigm for human-computer interaction (HCI) and virtual collaboration. This paper presents a comprehensive review of the to address gap in existing literature where there is lack survey that reviews nature its building blocks from human-centric perspective. We first synthesize definition delineate key affordances. then introduce detailed framework encompassing metaverse's nature, infrastructure technologies, input/output technologies facilitate multi-sensory HCI, alongside applications across diverse domains. components within this are explained depth, offering insights into readiness level current technologies. Based on analysis, we outline major open challenges propose promising directions demanding further exploration investigation. By clarifying vision characterizing required realize it, provides essential serves invaluable resource developers researchers working advance transformative medium.

Язык: Английский

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From theory to practice: Empirical perspectives on the metaverse's potential

Technological Forecasting and Social Change, Год журнала: 2024, Номер 201, С. 123224 - 123224

Опубликована: Янв. 26, 2024

Язык: Английский

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Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey

IEEE Communications Surveys & Tutorials, Год журнала: 2024, Номер 26(3), С. 1861 - 1897

Опубликована: Янв. 1, 2024

Due to the greatly improved capabilities of devices, massive data, and increasing concern about data privacy, Federated Learning (FL) has been increasingly considered for applications wireless communication networks (WCNs). Wireless FL (WFL) is a distributed method training global deep learning model in which large number participants each train local on their datasets then upload updates central server. However, general, nonindependent identically (non-IID) WCNs raises concerns robustness, as malicious participant could potentially inject "backdoor" into by uploading poisoned or models over WCN. This cause misclassify inputs specific target class while behaving normally with benign inputs. survey provides comprehensive review latest backdoor attacks defense mechanisms. It classifies them according targets (data poisoning poisoning), attack phase (local collection, training, aggregation), stage before aggregation, during after aggregation). The strengths limitations existing strategies mechanisms are analyzed detail. Comparisons methods designs carried out, pointing noteworthy findings, open challenges, potential future research directions related security privacy WFL.

Язык: Английский

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