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arxiv: 2604.25018 · v1 · submitted 2026-04-27 · 💻 cs.ET · cs.AI· cs.DC· cs.NI

Recognition: unknown

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

Driss Choukri , Essaid Sabir , Elmahdi Driouh , Abdelkrim Haqiq
Authors on Pith no claims yet

Pith reviewed 2026-05-07 16:51 UTC · model grok-4.3

classification 💻 cs.ET cs.AIcs.DCcs.NI
keywords Internet of EverythingIoE6GInternet of ThingsSmart CitiesEnabling TechnologiesResearch Challenges
0
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The pith

IoE evolves IoT by integrating people, data, processes, and things for automation in 6G networks.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper establishes that the Internet of Everything represents an evolution of the Internet of Things through the integration of people, data, processes, and things into a unified intelligent ecosystem. This integration aims to boost automation, decision-making, and service efficiency in areas including smart cities, healthcare, industry, and next-generation wireless networks. It offers a structured overview of IoE concepts, components, architectures, enabling technologies, and research challenges. The discussion points to open research directions for 6G-enabled IoE systems focusing on scalability, security, privacy, and energy efficiency. A reader would care because it maps the path from current IoT to future intelligent systems that could transform daily services.

Core claim

IoE represents an evolution of the Internet of Things (IoT) by integrating people, data, processes, and things into a unified intelligent ecosystem. It aims to enhance automation, decision-making, and service efficiency across multiple application domains such as smart cities, healthcare, industry, and next-generation wireless networks. The paper provides a structured overview of the IoE concept, its core components, architectural foundations, enabling technologies, and major research challenges, along with open research directions toward 6G-enabled intelligent IoE systems.

What carries the argument

The IoE ecosystem that unifies people, processes, data, and things, supported by 6G enabling technologies for intelligent automation.

Load-bearing premise

The overview assumes that the selected literature on IoE components, architectures, and 6G enablers provides a complete and unbiased representation of the field without gaps in coverage or selection bias.

What would settle it

Discovery of major recent papers on IoE or 6G enablers that are not covered or referenced in the review, indicating selection bias or incomplete coverage.

Figures

Figures reproduced from arXiv: 2604.25018 by Abdelkrim Haqiq, Driss Choukri, Elmahdi Driouh, Essaid Sabir.

Figure 1
Figure 1. Figure 1: Projected growth of global connected IoT devices, reaching ap view at source ↗
Figure 2
Figure 2. Figure 2: Paper structure: main sections with their corresponding subsection titles. view at source ↗
Figure 3
Figure 3. Figure 3: Evolution from the IoT to the IoE view at source ↗
Figure 4
Figure 4. Figure 4: IoE’s core components: things, people, data, and processes. view at source ↗
Figure 5
Figure 5. Figure 5: IoE system architecture: (a) layered functional abstraction and (b) device–edge/fog–cloud continuum for low-latency and scalable intelligence. view at source ↗
Figure 6
Figure 6. Figure 6: Device–edge/fog–cloud continuum as an enabling architectural concept for scalable and low-latency IoE services. view at source ↗
Figure 7
Figure 7. Figure 7: Main IoE enabling technologies. ligence (e.g., prediction, anomaly detection, and decision￾making) [7]. Because many IoE applications require low latency and operate under dynamic wireless conditions, recent research emphasizes edge intelligence, where learning and inference are pushed toward the network edge to support real-time adaptation and privacy-aware analytics [10, 94]. In particular, learning-driv… view at source ↗
Figure 8
Figure 8. Figure 8: Foundation models show competitive accuracy, reliable uncertainty estimation, and low inference overhead-supporting dependable edge reconfiguration. view at source ↗
Figure 9
Figure 9. Figure 9: Taxonomy of VM/VNF/CNF placement solution families: heuristics, meta-heuristics, and learning-based methods. view at source ↗
Figure 10
Figure 10. Figure 10: A coherent joint transmission scenario with centralized coordination view at source ↗
Figure 11
Figure 11. Figure 11: Main IoE smart applications and use cases. view at source ↗
Figure 12
Figure 12. Figure 12: IoE-enabled smart farming ecosystem integrating AI, edge intel view at source ↗
Figure 13
Figure 13. Figure 13: Reference multi-cloud federation architecture for IoE, highlighting inter-cloud portability, resource virtualization, and cross-layer QoS/SLA concerns. view at source ↗
Figure 14
Figure 14. Figure 14: Security and Privacy by Design across the IoE lifecycle and the device–edge–cloud continuum, illustrating lifecycle-integrated controls, policy-aware view at source ↗
Figure 15
Figure 15. Figure 15: Multi-cloud federation architecture for IoE, highlighting inter-cloud view at source ↗
read the original 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.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

0 major / 2 minor

Summary. The paper provides a structured overview of the Internet of Everything (IoE) as an evolution of the Internet of Things (IoT), integrating people, data, processes, and things into an intelligent ecosystem. It covers the IoE concept, core components, architectural foundations, enabling technologies in the 6G context, major research challenges, and open research directions with emphasis on scalability, security, privacy, and energy efficiency across domains such as smart cities, healthcare, industry, and next-generation wireless networks.

Significance. If the literature synthesis is balanced and comprehensive, the paper can serve as a useful reference consolidating existing work on IoE paradigms and 6G enablers, helping researchers navigate the transition from IoT to intelligent, 6G-enabled systems. As a survey without new derivations, data, or predictions, its primary contribution is organizational clarity rather than novel technical insight.

minor comments (2)
  1. [Abstract] Abstract: The description of the paper's structure is clear but does not indicate the total number of references reviewed or the criteria used for literature selection, which would strengthen the claim of providing a representative overview.
  2. The manuscript would benefit from an explicit comparison table (e.g., IoT vs. IoE vs. 6G-IoE) to highlight differences in components, architectures, and enablers, improving readability for the target audience in emerging technologies.

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for their review and recommendation of minor revision. The assessment of the paper as a structured overview of IoE paradigms and 6G enablers is appreciated. No specific major comments were provided under the MAJOR COMMENTS section.

Circularity Check

0 steps flagged

No significant circularity: literature survey with external citations only

full rationale

This is a review paper providing a structured overview of IoE concepts, components, architectures, enabling technologies, and open directions for 6G. It contains no derivations, equations, predictions, fitted parameters, or self-referential claims that reduce to the paper's own inputs. All content draws from and cites external literature without any load-bearing self-citation chains, ansatzes, or renamings of known results as novel derivations. The central claim is a summary of existing work, which is self-contained against external benchmarks and does not exhibit any of the enumerated circularity patterns.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

This is a review paper with no new derivations or postulates. It does not introduce free parameters, axioms, or invented entities beyond summarizing concepts from existing literature.

pith-pipeline@v0.9.0 · 8552 in / 1049 out tokens · 72145 ms · 2026-05-07T16:51:28.824388+00:00 · methodology

discussion (0)

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Reference graph

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