The research project means to exploit both architectural and algorithmic challenges related to the development and deployment of edge-based Health Internet of Things(HIoT) systems. We propose ENTRUST Platform with a fluid edge-to-cloud architecture purposely tailored for addressing the complexity of HIoT and related applications in terms of requirements and goals (from responsiveness and usability to privacy and interoperability).
Implementing edge-to-cloud-continuum in Health IoT Systems
The joint exploitation of gateway and software adapters designed in a modular fashion allows supporting different communication protocols and technologies.
Driven by the simulation, the deployment becomes a systematic task, no longer based upon empirical considerations but on clear indications.
For HIoT purposes, model compression techniques are being exploited. Our simulation driven approach allows considering different target hardware with different degrees of parallelism in order to avoid unnecessary model pruning that could lead to lower performance and accuracy.
Towards the development of ENTRUST Platform
General challenges in HIoT concern many engineering aspects
Edge-cloud continuum with fine grained and context-aware offloading policies, support for mobility and energy features, models for the mainstream communication protocols.
Typical AAL and IoMT systems work in “controlled” environments. ENTRUST exploits all the resources within the user availability so that anytime the user would find the better support for his/her service execution.
Signals from wearable sensors and smart clothes can be processed at a wearable or portable level in the local layer by the use of small custom microcontrollers or smartwatches to allow data filtering and AI analysis in mobility.
Milestones
This milestone focuses on the literature review and on requirements analysis aiming at the identification of key building blocks for the ENTRUST platform design.
This milestone concerns all activities related to the release of a first version for each component of the ENTRUST platform: the architecture definition, the simulator customization , the AI Models definition.
This milestone focuses on the finalization of the ENTRUST platform and particularly on the implementation, validation and deployment of the AI model.
Our team
Research units
