aiqbench analysis
This paper outlines the architectural foundations and research challenges for integrating people, data, and processes into a unified Internet of Everything (IoE) ecosystem enabled by 6G. Key priorities for future development include ensuring scalability, security, privacy, and energy efficiency across diverse application domains like smart cities and healthcare. The work serves as a structured reference for researchers navigating the transition from IoT to next-generation intelligent networks.
Internet of Everything in the 6G Era: Paradigms, Enablers, Potentials and Future Directions
arXiv:2604.25018v2 Announce Type: replace-cross Abstract: The Internet of Everything (IoE) represents an evolution of the Internet of Things (IoT) by integrating people, data, processes, and things into a unified intelligent ecosystem. IoE aims to enhance automation, decision-making, and service efficiency across multiple application domains such as smart cities, healthcare, industry, and next-generation wireless networks. This paper provides a structured overview of the IoE concept, its core components, architectural foundations, enabling technologies, and major research challenges. Finally, open research directions toward 6G-enabled intelligent IoE systems are discussed, with emphasis on scalability, security, privacy, and energy efficiency.
Abstract:The Internet of Everything (IoE) represents an evolution of the Internet of Things (IoT) by integrating people, data, processes, and things into a unified intelligent ecosystem. IoE aims to enhance automation, decision-making, and service efficiency across multiple application domains such as smart cities, healthcare, industry, and next-generation wireless networks. This paper provides a structured overview of the IoE concept, its core components, architectural foundations, enabling technologies, and major research challenges. Finally, open research directions toward 6G-enabled intelligent IoE systems are discussed, with emphasis on scalability, security, privacy, and energy efficiency.
Emerging Technologies (cs.ET); Artificial Intelligence (cs.AI); Distributed, Parallel, and Cluster Computing (cs.DC); Networking and Internet Architecture (cs.NI)
arXiv:2604.25018 [cs.ET]
(or arXiv:2604.25018v2 [cs.ET] for this version)
Full text under the publisher's open licence · 115 words
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