We focus on developing new models, algorithms and tools for leveraging real-time QoS and dependability issues. Specific to the high dynamic behavior and time-varying QoS requirements of CPS, IoT and especially industrial IoT networks must provide self-adaptability. So our main objective is to make the IoT protocols capable of providing self-adaptive real-time QoS support at MAC, routing and application cross-layers, contributing thus to increase the CPS dependability.
Our current research topics include:
- traffic self-adaptive QoS at sensor network MAC protocol level by dynamically switching between CSMA and TDMA,
- routing protocol enhancement and new protocol design for multi-hop wireless sensors and actuators (including UAV) network under mobility and multiple QoS constraints (delay, energy),
- delay evaluation methods in TSN (Time Sensitive Networking) industrial IoT,
- network resource allocation and routing co-design optimization algorithms,
- dynamic QoS management (traffic scheduling, resource allocation, routing, admission control) through SDN/Openflow-based architecture.
Typical applications are environment monitoring (e.g. smart home/building), smart city sensing, in-vehicle and connected vehicle real-time communication, smart grid monitoring and control