IEEE Internet of Things (IoT) Journal publishes articles on the latest advances, as well as review articles, on the various aspects of IoT. Topics include IoT system architecture, IoT enabling technologies, IoT communication and networking protocols such as network coding, and IoT services and applications. Examples are IoT demands, impacts, and implications on sensors technologies, big data management, and future internet design for various IoT use cases, such as smart cities, smart environments, smart homes, etc. The fields of interest include: IoT architecture such as things-centric, data-centric, service-oriented IoT architecture; IoT enabling technologies and systematic integration such as sensor technologies, big sensor data management, and future Internet design for IoT; IoT services, applications, and test-beds such as IoT service middleware, IoT application programming interface (API), IoT application design, and IoT trials/experiments; IoT standardization activities and technology development in different standard development organizations (SDO) such as IEEE, IETF, ITU, 3GPP, ETSI, etc.

Special Issue on Effective, Efficient, and Trustworthy AI Agents for the Internet of Things
Submission Date: 2025-12-31

The Internet of Things (IoT) is evolving into a complex ecosystem of interconnected devices and
sensors that generate vast streams of real-time data. To manage this complexity, AI agents are
increasingly deployed for tasks such as perception, reasoning, and decision-making, enabling
intelligent services in domains like smart healthcare, industrial automation, and urban
infrastructure. These agents bring advantages in real-time processing, contextual awareness, and
autonomous adaptability, but also face challenges related to effectiveness, efficiency, and
trustworthiness—especially under resource constraints and in dynamic environments.
This special issue invites research on intelligent AI agents tailored for IoT systems. We welcome
contributions focused on lightweight models, scalable learning frameworks, privacy-preserving
mechanisms, and robust integration strategies. The goal is to advance the development of
effective, efficient, and trustworthy AI agents that can unlock the full potential of IoT across
diverse real-world applications.

Topics of interest include, but not limited to:
• Real-time analytics and autonomous decision-making in IoT using AI agents
• Memory-augmented and context-aware architectures for long-term learning
• Reinforcement learning for adaptive decision-making in dynamic environments
• Lightweight and low-latency perception models for AI agents in IoT
• Perceptual interaction for collaborative intelligence in AI agents
• Multimodal perception and sensor fusion for cognitive AI agents
• Robust Interaction of AI Agents for IoT
• Federated learning and differential privacy for AI agents for IoT
• Efficient architectures for AI agents in IoT applications
• Interpretable decision-making for AI agents for IoT
• Adversarial training and defense strategies for secure AI agents for IoT
• Dynamic cognitive architectures for AI agents for IoT
• Goal-directed planning and reasoning mechanisms for AI agents for IoT
• Internal mental state modeling (memory, emotions, rewards) in AI agents for IoT
• World model development for AI agents for IoT

Important Dates
• Submission Deadline: December 31st, 2025
• First Review Due: February 28th, 2026
• Revision Due: April 15th, 2026
• Second Reviews Due/Notification: June 15th, 2026
• Final Manuscript Due: June 30th, 2026
• Publication Date: September 2026