Intelligent Agent Communication, Computing and Sensing

Dear Colleagues,

The convergence of intelligent agent communication, computing, and sensing represents a transformative advancement in artificial intelligence and distributed systems. Intelligent agents, which are autonomous entities capable of perceiving environments, reasoning, and acting to achieve goals, are increasingly deployed in complex scenarios such as smart cities, industrial automation, and healthcare. This Special Issue aims to explore the interplay of communication protocols, distributed computing frameworks, and sensing technologies that enable agents to collaborate, adapt, and thrive in dynamic, resource-constrained environments. By addressing challenges in interoperability, scalability, and real-time decision-making, this collection will advance the state of the art in agent-based systems and foster interdisciplinary innovation.

The scope of this Special Issue includes the following topics:

• Decentralized agent communication frameworks;
• Secure and scalable agent-to-agent interaction models;
• Edge AI driven communication optimization;
• Federated learning and collaborative model training;
• Task allocation and resource scheduling in edge-cloud systems;
• Fault-tolerant distributed algorithms for dynamic environments;
• Multi-modal sensing fusion;
• Energy-efficient sensing architectures for IoT devices.

Prof. Dr. Changqiao Xu
Dr. Han Xiao
Dr. Hao Hao
Prof. Dr. Hongtao Zhang
Dr. Xingyan Chen
Guest Editors

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