IntellIoT

IntellIoT

Intelligent, distributed, human-centered and trustworthy IoT environments

Full project details (EU Research results portal): https://cordis.europa.eu/project/id/957218

Project description:

The traditional cloud centric IoT has clear limitations, e.g. unreliable connectivity, privacy concerns, or high round-trip times. IntellIoT overcomes these challenges in order to enable NG IoT applications. IntellIoT’s objectives aim at developing a framework for intelligent IoT environments that execute semi-autonomous IoT applications, which evolve by keeping the human-in-the-loop as an integral part of the system. Such intelligent IoT environments enable a suite of novel use cases. IntellIoT focuses on: Agriculture, where a tractor is semi-autonomously operated in conjunction with drones. Healthcare, where patients are monitored by sensors to receive advice and interventions from virtual advisors. Manufacturing, where highly automated plants are shared by multiple tenants who utilize machinery from third-party vendors. In all cases a human expert plays a key role in controlling and teaching the AI-enabled systems.The following 3 key features of IntellIoT’s approach are highly relevant for the work programme as they address the call’s challenges: (1) Human-defined autonomy is established through distributed AI running on intelligent IoT devices under resource-constraints, while users teach and refine the AI via tactile interaction (with AR/VR).(2) De-centralised, semi-autonomous IoT applications are enabled by self-aware agents of a hypermedia-based multi-agent system, defining a novel architecture for the NG IoT. It copes with interoperability by relying on W3C WoT standards and enabling automatic resolution of incompatibility constraints.(3) An efficient, reliable computation & communication infrastructure is powered by 5G and dynamically manages and optimizes the usage of network and compute resources in a closed loop. Integrated security assurance mechanisms provide trust and DLTs are made accessible under resource constraints to enable smart contracts and show transparency of performed actions.

EuroVoc IDs: /engineering and technology/electrical engineering, electronic engineering, information engineering/information engineering/telecommunications/telecommunications networks/mobile network/5G

EU Programme: Horizon 2020

EU Project

Project publications:

EU Project	Has Title	Has Category	Has Type	Has Year	Has DOI
IntellIoT	Age-optimal power allocation in industrial IoT: A risk-sensitive federated learning approach""""	IoT, Robotics, and Autonomous Swarms	Conference proceedings	2021	https://doi.org/10.1109/pimrc50174.2021.9569536
IntellIoT	Modeling and Analysis of Data Trading on Blockchain-Based Market in IoT Networks	IoT, Robotics, and Autonomous Swarms	Other	2021	https://doi.org/10.1109/jiot.2021.3051923
IntellIoT	B-ETS: A Trusted Blockchain-based Emissions Trading System for Vehicle-to-Vehicle Networks	IoT, Robotics, and Autonomous Swarms	Conference proceedings	2021	https://doi.org/10.5220/0010460501710179
IntellIoT	"Communication-Efficient and Federated Multi-Agent Reinforcement Learning""""	IoT, Robotics, and Autonomous Swarms	Conference proceedings	2021	https://doi.org/10.1109/tccn.2021.3130993
IntellIoT	Robust Reconfigurable Intelligent Surfaces via Invariant Risk and Causal Representations.	IoT, Robotics, and Autonomous Swarms	Conference proceedings	2021	https://doi.org/10.1109/spawc51858.2021.9593252
IntellIoT	V2V Cooperative Sensing using Reinforcement Learning with Action Branching	IoT, Robotics, and Autonomous Swarms	Conference proceedings	2021	https://doi.org/10.1109/icc42927.2021.9500832
IntellIoT	Peak Age of Information Distribution for Edge Computing With Wireless Links	IoT, Robotics, and Autonomous Swarms	Other	2021	https://doi.org/10.1109/tcomm.2021.3053038
IntellIoT	"Federated Distributionally Robust Optimization for Phase Configuration of RISs,""""	IoT, Robotics, and Autonomous Swarms	Conference proceedings	2021	https://doi.org/10.1109/globecom46510.2021.9685599
IntellIoT	Vehicular Cooperative Perception Through Action Branching and Federated Reinforcement Learning	IoT, Robotics, and Autonomous Swarms	Other	2021	https://doi.org/10.1109/tcomm.2021.3126650
IntellIoT	"Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent""""	IoT, Robotics, and Autonomous Swarms	Conference proceedings	2021	https://doi.org/10.1109/globecom46510.2021.9685127
IntellIoT	"Communication-Efficient Split Learning Based on Analog Communication and Over the Air Aggregation,""""	IoT, Robotics, and Autonomous Swarms	Conference proceedings	2021	https://doi.org/10.1109/globecom46510.2021.9685045
IntellIoT	Learning, Computing, and Trustworthiness in Intelligent IoT Environments: Performance-Energy Tradeoffs	IoT, Robotics, and Autonomous Swarms	Other	2022	https://doi.org/10.1109/tgcn.2021.3138792