Mainline-6G will develop a dynamic communication middleware that enables intelligent, low-latency, and secure networking of software agents, AI agents, and sensors. This middleware forms the technological foundation for autonomous and distributed systems where data sovereignty, scalability, and self-organization are key requirements. With the increasing prevalence of autonomous systems, distributed AI architectures, and cyber-physical infrastructures, the need for flexible communication solutions capable of connecting heterogeneous components in open and dynamic environments is growing. Traditional middleware approaches are often statically configured and fail to meet the requirements for autodiscovery and data sovereignty. This project addresses this gap with an innovative middleware approach that combines dynamic agent communication with intelligent context adaptation. The middleware to be developed will integrate the following core functions:
- Dynamic networking and autodiscovery: Mechanisms for the automatic detection, registration, and integration of agents, services, and sensors without manual configuration. This enables plug-and-play functionality for autonomous systems.
- Low-latency communication: Use of efficient protocols and adaptive communication paths to support time-critical control tasks.
- Data sovereignty: Integration of policy-based data access and release mechanisms, encryption, and federated data models to ensure that data is used only according to its origin and permissions, enabling trusted communication in multi-stakeholder environments.
- Intelligent middleware layer: Utilization of AI-based orchestration and optimization algorithms that can dynamically adapt communication paths, data priorities, and network topologies, thereby increasing efficiency, robustness, and energy efficiency.
- Interoperability: Support for common communication standards (MQTT, ROS2, etc.) and integration into 6G and edge computing environments.