5G/6G时代数字化工业应用的下一代web 3.0

IF 6.2 2区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Qingqi Pei , F. Richard Yu , Kaou Ota , Mohammed Atiquzzaman , Youshui Lu
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引用次数: 0

摘要

近年来,5G/6G网络快速发展,连接了数十亿物联网设备,产生了海量数据。有效地收集、处理和分析这些数据对于获得有价值的见解和改进决策至关重要。然而,底层通信网络在安全、可扩展地管理这些设备方面面临着重大挑战,影响了基础设施的建设、维护和管理。此外,反复出现的数据隐私泄露和缺乏控制降低了用户和企业共享数据进行处理和分析的意愿。Web 3.0强调增强的安全性和分散的数据管理,为保护敏感的工业信息提供了健壮的解决方案。其技术可实现透明和防篡改的数据交换,优化供应链和资产管理。智能合约提高了运营效率,而自主身份系统确保了隐私合规性。Web 3.0兼容5G/6G网络,与先进的通信基础设施无缝集成,实现高效的数据处理、通信和资源管理。Web 3.0的应用横跨物联网(IoT)、联邦学习和数字孪生,旨在提高数据处理效率、安全性、隐私保护和资源管理优化。这种变革性技术正在推动工业、交通和数据管理等各个领域的进步和创新,为更加互联和智能的未来铺平道路。这期特刊经过严格的同行评议后,收录了18篇科学论文。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Next-generation web 3.0 for digitalized industrial applications in the 5G/6G era
In recent years, the rapid development of 5G/6G networks has connected billions of IoT devices, generating massive amounts of data. Efficiently collecting, processing, and analyzing this data is crucial for gaining valuable insights and improving decision-making. However, the underlying communication networks face significant challenges in securely and scalably managing these devices, impacting infrastructure construction, maintenance, and management. Moreover, recurring data privacy breaches and a lack of control have diminished the willingness of users and enterprises to share data for processing and analysis. Web 3.0, with its emphasis on enhanced security and decentralized data management, offers robust solutions to protect sensitive industrial information. Its technologies enable transparent and tamper-resistant data exchanges, optimizing supply chain and asset management. Smart contracts boost operational efficiency, while self-sovereign identity systems ensure privacy compliance. Being compatible with 5G/6G networks, Web 3.0 seamlessly integrates with advanced communication infrastructures, promoting efficient data processing, communication, and resource management. The applications of Web 3.0 span across the Internet of Things (IoT), federated learning, and digital twins, all aiming to enhance data processing efficiency, security, privacy protection, and resource management optimization. This transformative technology is driving progress and innovation across various sectors, including industry, transportation, and data management, paving the way for a more connected and intelligent future. The special issue concludes with 18 scientific papers after a rigorous peer-review process.
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来源期刊
CiteScore
19.90
自引率
2.70%
发文量
376
审稿时长
10.6 months
期刊介绍: Computing infrastructures and systems are constantly evolving, resulting in increasingly complex and collaborative scientific applications. To cope with these advancements, there is a growing need for collaborative tools that can effectively map, control, and execute these applications. Furthermore, with the explosion of Big Data, there is a requirement for innovative methods and infrastructures to collect, analyze, and derive meaningful insights from the vast amount of data generated. This necessitates the integration of computational and storage capabilities, databases, sensors, and human collaboration. Future Generation Computer Systems aims to pioneer advancements in distributed systems, collaborative environments, high-performance computing, and Big Data analytics. It strives to stay at the forefront of developments in grids, clouds, and the Internet of Things (IoT) to effectively address the challenges posed by these wide-area, fully distributed sensing and computing systems.
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