Use Cases

Self-Healing System for Planetary Exploration
The objective of this use case is twofold. On one side it focuses on a single unique embedded CPS; while, on the other, it focuses on its integration with other systems of a planetary exploration mission. The use case focus on the future planetary exploration rover, which will be the first mission to combine the capability to move across the surface and to study future planetary exploration at depth. The primary goal is to provide self-monitoring and self- healing capabilities by means of high performance sensor pro-cessing techniques, triggering dynamic reconfiguration of the embedded computing system to overcome the failures caused by the radiation or the harsh environmental conditions. The second objective focuses on a wider scenario taking into account the SoS typical of a planetary exploration scenario, which has different actors and system contributing to the final objectives, i.e. astronauts, supporting satellites, earth control station, exploration rovers and other support facilities among others. CERBERO is mainly conceived to define self-healing and self-adaptive processing systems capable of operating in such a critical environment.
Ocean Monitoring
A type of smart video-sensing unmanned vehicles with immersive environmental monitoring capabilities composes the SoS representative of this scenario. Such marine robots can be remote controlled within wireless reach and visible sight, and capable of self-operation and navigation. Robots will be equipped with new sensing and processing capabilities, not only to navigate and operate the robot, but also for data analysis and information fusion. Real-time processing and adaptation is required to address the rapidly changing environment conditions in order to obtain or maintain positions on sea. The aim is for the electronic components of the robots to be 100% battery driven, solar and wind charged, which would be particularly helpful in challenging recharging scenarios, i.e. the Arctic areas during winter time, or when communication with the vehicle has temporarily been lost. CERBERO will define algorithms for data analysis and information fusion to enable smart adaptation strategies to address rapidly changing environment conditions in order to obtain or maintain positions on sea.
Smart Travelling for Electric Vehicle
The third scenario is the most networked one, being com- posed of different sub-systems, including the Electric Vehicle, the Person possessing a Personal Agenda, the Smart Energy Grid and the Smart Mobility that provides mobility-aware functionality (e.g. parking places, charge points, etc.). Due to the different involved heterogeneous concurrent sub-systems, this scenario requires a high degree of autonomy and support for adaptability to cope with real life circum- stances. Moreover, it requires to integrate the distributed communication layers of the different involved systems. The proposed model-based approach and its corresponding design framework is meant to facilitate the design of such a complex CPSoS, where several dependencies and a plethora of highly different requirements have to be considered.