The Internet of Things is a promising technology which allows interconnecting machines, sensors, actuators, or any devices to the Internet. The current trend is to make to network smart enough to manage auto-configuration, self-adaptation, self healing, and perform intelligent routing. The standards and current research in the Internet of Things allow considering this technology in the industrial domain, also called the Industry 4.0 or the Smart Factory. While existing communication technologies already exist for some time in this domain, they are dedicated and thus very expensive technologies. Most of the time, they were also wired, which make the deployment difficult, and hardly adaptable. Using standards and universal technologies, such as IP and wireless communication allow to reduce the costs of production and make more tasks automatic. The overall objective is to make factories more flexible and decentralized.
The Industry 4.0 requires however reliable, robust and deterministic communications . Messages need to be sent securely and the communication framework must somehow guarantee message delivery in a given (and constant) delay. We propose to use distributed scheduling, multi-path routing and hybrid network to build the Industry 4.0 .
In 2016, the IEEE802.15.4-2015 standard  was published to offer Quality of Service for deterministic industrial-type applications. Time-Slotted Channel Hoping (TSCH) is among the Medium Access Control (MAC) protocols defined in the IEEE802.15.4-2015 standard, which allows for competing the industrial standards. However, it does not avoid retransmissions when a data packet is lost, due to collision, or outage of one node. Moreover, the potential interferences, which lead to packet losses, with technologies operating on 2.4GHz, may decrease the reliability performance. Since IEEE802.15.4-TSCH seems to be a good candidate solution, we propose to extend the standard to bridge the gap between academia and Industry 4.0.
The main scope of the PhD student will be to focus on investigating and designing techniques on improving the deterministic solutions (i.e., algorithms to reduce the latency, jitter while achieving 100% of network reliability), by considering the predefined constraints from the Industry 4.0 application layer. In the first months of the thesis, the PhD student will prepare a state of the art on the Internet of Things, particularly the Quality of Service techniques that are available in the literature. In parallel, he/she will study the Industry 4.0 context and requirements, and prepare a clear problem statement and requirements.
Then, different research will be conducted to propose original and innovative approach to provide service differentiation and quality of service in Industrial IoT. Hybrid technologies, opportunistic routing, mobility support, deterministic delivery, link quality assessment will be thoroughly investigated.
This work will be strengthened with experimentation over real world devices and conditions, such as the open FIT IoT-LAB platform (located in 7 sites in France) , Smart Grid testbed (located in Rennes)  to evaluate the proposed solutions under real-world conditions. A thorough measurement campaign will be conducted to evaluate the robustness, efficiency, and even more importantly, the repeatability and the reproducibility.