| name | agentic-iot-internet-of-agents |
| description | Survey of agentic IoT architectures, applications, and challenges toward the Internet of Agents. Examines how AI integration transforms IoT from passive data collection to intelligent systems with anomaly detection, predictive maintenance, and optimization. Activation: agentic IoT, internet of agents, AIoT, IoT architecture, anomaly detection, predictive maintenance, smart systems. |
| metadata | {"arxiv_id":"2607.04219","published":"2026-07-05","authors":"Rümeysa Hilal Sevinç, Bahaeddin Türkoğlu, İbrahim Kök","tags":["agentic-iot","internet-of-agents","aiot","iot-architecture","anomaly-detection","predictive-maintenance"]} |
Agentic IoT: Architectures, Applications, and Challenges Toward the Internet of Agents
Overview
The integration of AI into Internet of Things (AIoT) systems has gradually transformed them from passive data collection infrastructures into intelligent systems capable of anomaly detection, predictive maintenance, classification, forecasting, and optimization. However, most existing solutions still operate as isolated AI-enhanced components rather than truly agentic systems. This paper surveys architectures, applications, and challenges for agentic IoT and the emerging Internet of Agents.
Key Themes
From AIoT to Agentic IoT
- Traditional IoT: passive sensors and actuators with centralized processing
- AI-enhanced IoT (AIoT): AI models embedded in IoT components for specific tasks
- Agentic IoT: autonomous AI agents that can reason, decide, and act across IoT infrastructure
- Internet of Agents: interconnected agent ecosystem where devices, edge nodes, and cloud services collaborate autonomously
Architectural Considerations
- Edge-Cloud Continuum: Agents distributed across edge devices, gateways, and cloud
- Agent Autonomy: Degrees of autonomy from assistive to fully autonomous decision-making
- Inter-Agent Communication: Protocols for agent coordination across IoT layers
- Resource Constraints: Agent architectures adapted for constrained IoT devices
Application Areas
- Anomaly detection and fault diagnosis in industrial IoT
- Predictive maintenance with agentic decision-making
- Smart city infrastructure management
- Healthcare IoT with autonomous monitoring and alerting
- Supply chain optimization through coordinated agents
Challenges
Technical Challenges
- Resource constraints on IoT devices limit agent complexity
- Heterogeneous protocols and standards across IoT ecosystems
- Real-time requirements conflict with agent reasoning latency
- Scalability of agent coordination across massive IoT deployments
Security and Privacy
- Agent autonomy introduces new attack surfaces
- Data privacy across distributed agent interactions
- Trust and authentication between agents and IoT devices
Operational Challenges
- Integration with legacy IoT infrastructure
- Managing agent lifecycle in dynamic IoT environments
- Human-agent interaction patterns in IoT contexts
Implications
- Conceptual framework for the next evolution of IoT: from connected devices to autonomous agents
- Internet of Agents as a paradigm for decentralized intelligent infrastructure
- Roadmap for researchers and practitioners building agentic IoT systems
- Highlights the gap between current AIoT deployments and truly agentic IoT
Pitfalls
- Survey paper: no novel architecture or implementation
- The "Internet of Agents" concept is still largely aspirational
- Real-world deployments face significant standardization and interoperability barriers
- Resource constraints may limit the practical applicability of sophisticated agent architectures
Activation Keywords
agentic IoT, internet of agents, AIoT, IoT architecture, anomaly detection, predictive maintenance, smart systems, edge-cloud continuum, agent autonomy, IoT agents
Paper Reference
arXiv:2607.04219 - "Agentic IoT: Architectures, Applications, and Challenges Toward the Internet of Agents" (Jul 2026)
