Internet of Intelligence: A Survey on the Enabling Technologies, Applications, and Challenges
arXiv:2205.08977 · doi:10.1109/COMST.2022.3175453
Abstract
The Internet of intelligence is conceived as an emerging networking paradigm, which will make intelligence as easy to obtain as information. This paper provides an overview of the Internet of intelligence, focusing on motivations, architecture, enabling technologies, applications, and existing challenges. This can provide a good foundation for those who are interested to gain insights into the concept of the Internet of intelligence and the key enablers of this emerging networking paradigm. Specifically, this paper starts by investigating the evolution of networking paradigms and artificial intelligence (AI), based on which we present the motivations of the Internet of intelligence by demonstrating that networking needs intelligence and intelligence needs networking. We then present the layered architecture to characterize the Internet of intelligence systems and discuss the enabling technologies of each layer. Moreover, we discuss the critical applications and their integration with the Internet of intelligence paradigm. Finally, some technical challenges and open issues are summarized to fully exploit the benefits of the Internet of intelligence.
arXiv commentThis article has been accepted for publication in a future issue of IEEE Communications Surveys & Tutorials
References in corpus (22)
- Network Function Virtualization: State-of-the-art and Research Challenges
- Convergence of Edge Computing and Deep Learning: A Comprehensive Survey
- A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks
- Network Slicing for 5G with SDN/NFV: Concepts, Architectures and Challenges
- Context-aware Computing in the Internet of Things: A Survey on Internet of Things From Industrial Market Perspective
- Artificial Intelligence-Enabled Intelligent 6G Networks
- Towards Low-Latency and Ultra-Reliable Virtual Reality
- Multimodal Intelligence: Representation Learning, Information Fusion, and Applications
- Towards Massive Machine Type Communications in Ultra-Dense Cellular IoT Networks: Current Issues and Machine Learning-Assisted Solutions
- Federated Learning for 6G Communications: Challenges, Methods, and Future Directions
- Artificial Intelligence-Driven Customized Manufacturing Factory: Key Technologies, Applications, and Challenges
- Enabling Cognitive Smart Cities Using Big Data and Machine Learning: Approaches and Challenges
- Personalized Education in the AI Era: What to Expect Next?
- Wireless Sensor Network Virtualization: A Survey
- AI based Service Management for 6G Green Communications
- Integration of Blockchain and Cloud of Things: Architecture, Applications and Challenges
- Lifelong Federated Reinforcement Learning: A Learning Architecture for Navigation in Cloud Robotic Systems
- Observing a quantum Maxwell demon at work
- Enabling AI in Future Wireless Networks: A Data Life Cycle Perspective
- Distributed Ledger Technology, Cyber-Physical Systems, and Social Compliance
- Personalized Course Sequence Recommendations
- Self-Sovereign Identity Solutions: The Necessity of Blockchain Technology