Digital Twin Network for dynamic management of a Bluetooth Mesh Network

We present a wireless multi-hop network management system that can capture the current network context to gain continuous insights into network performance and provide reconfiguration suggestions. Ongoing IETF standardization efforts refer to the creation of this type of virtual representation as a Digital Twin Network. The management system presented in this paper is based on Bluetooth Mesh networks and combines simulation, graph-based algorithms and theoretical models to gain insights into network performance and provide per-flow reconfiguration suggestions. Through an advanced testbed, we showcase the efficiency of Digital Twin Network-based configurations compared against simple configurations. The demonstration highlights the system’s ease of use and swift implementation with a plug-and-play approach. This study paves the way for the advancement of network management in wireless communication systems and more efficient traffic scheduling for constrained Internet of Things devices. It underscores the potential of autonomous Digital Twin Network configurations to improve network resilience and performance.