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 |