Internet of Everything in the 6G Era: Paradigms, Enablers, Potentials and Future Directions

📅 2026-04-27
📈 Citations: 0
Influential: 0
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🤖 AI Summary
This work proposes a unified intelligent ecosystem for the 6G era that integrates humans, data, processes, and things to enhance automation and service efficiency across multiple domains. Addressing key challenges of the Internet of Everything (IoE)—including scalability, security, privacy preservation, and energy efficiency—it presents the first systematic integration of IoE with 6G technologies. The proposed framework synergistically combines 6G communications, intelligent edge computing, data fusion, and security-privacy mechanisms to establish a holistic architecture and development paradigm for 6G-enabled IoE. This integrated approach provides both theoretical foundations and viable research pathways for critical applications in smart cities, healthcare, industrial systems, and other essential scenarios.
📝 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.
Problem

Research questions and friction points this paper is trying to address.

Internet of Everything
6G
scalability
security
privacy
Innovation

Methods, ideas, or system contributions that make the work stand out.

Internet of Everything
6G
intelligent ecosystem
enabling technologies
security and privacy
D
Driss Choukri
Computer Networks, Mobility and Modeling Laboratory (IR2M), FST, Hassan I University of Settat, Morocco, and the Department of Science and Technology, TÉLUQ, University of Quebec, Montreal, H2S 3L4, Canada
Essaid Sabir
Essaid Sabir
University of Quebec (TÉLUQ)
5G/6GIoTApplied AI/MLCloud/Fog/Edge ComputingUbiquitous Computing
E
Elmahdi Driouh
Department of Computer Science, University of Quebec at Montreal (UQAM), Montreal, H2L 2C4, Canada
A
Abdelkrim Haqiq
Computer Networks, Mobility and Modeling Laboratory (IR2M), FST, Hassan I University of Settat, Morocco