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Schematic

Objectives To enable the emergence of these federations of heterogeneous IoT platforms, our technical objectives will enforce interoperability across heterogeneous IoT devices autonomously cooperating in complex tasks. Smart, autonomous behaviour will form the basis for the platform that will:

- Enable the dynamic creation and dissolution of federations amongst heterogeneous platforms

- Provide security in distributed platforms by establishing Authentication, Authorization and Accounting (AAA) in dynamic, distributed IoT scenarios

- Provide solutions to embed privacy-awareness and control features in these scenarios An open-source, model-based development environment is key to accomplishing these objectives. The environment will:

- Bridge the heterogeneous IoT platforms by defining the IoT Modeling Language - Enable rapid commissioning and reconfiguration of decentralized IoT instances - Extend open marketplace of IoT services and data with available catalogues providing

open IoT enablers

BRAIN-IoT provides a model-based framework for dynamic composability and deployment of hetero-geneous IoT platforms, overcoming the challenge of cross-platform interoperability. The framework provides the capabilities to model smart behaviours in relevant IoT domains and to develop secure distributed and intelligent applications.

Technical objectives will enforce interoperability across heterogeneous IoT devicesautonomously cooperating in complex tasks. Smart, autonomous behaviours will form thebasis for the platform that will:• Enable dynamic creation and dissolution of federations amongst heterogeneous platforms• Provide security in distributed platforms by establishing Authentication, Authorization and Accounting (AAA) in dynamic, distributed IoT scenarios• Provide solutions to embed privacy-awareness and control features in these scenarios

An open-source, model-based development environment is key to accomplishing theseobjectives. The environment will:• Bridge the heterogeneous IoT platforms by defi ning the IoT Modeling Language• Enable rapid commissioning and reconfi guration of decentralized IoT instances• Extend open marketplace of IoT services and data with available catalogues providing open IoT enablers• Enable fair competition, encourage consumer/ producer freedom to choose and demonstrate the viability of a fully decentralized approach

Objectives

model-based framework for dependable sensing and actuation in intelligent decentralized IoT systems

The BRAIN-IoT project goal is to establish a framework and methodology that supports secure, smart, autonomous, and cooperative behaviors of populations of heterogeneous IoT platforms. The project will implement open semantic models enabling interoperability, data exchange and control features,as well as privacy enforcing mechanisms and data ownership policies. BRAIN-IoT will also off ermodel-based tools easing the development of innovative, tightly integrated IoT and CPS solutions.

• Cross-platform interoperability: A fully decentralized, composable and dynamic federation of heterogeneous IoT platforms• Smart Behavior: Facilitates the deployment of smart, cooperative behavior by employing modular AI features• Cyber-Security: Provides an holistic end-to-end trust framework in dynamic, distributed IoT scenarios• Model-based engineering: enables the dynamic development of innovative, tightly integrated IoT and CPS solutions

Features

The project has selected three sets of use cases for demonstrating project results testingspecialized scenarios

Critical Infrastructure Monitoring and ControlBRAIN-IoT platform will enable the monitoring of water quality and the implementation of predictive maintenance based on historical data and collected information.

Service Robotics BRAIN-IoT framework and robotic platforms will be leveraged in a warehouse to support human operations in a logistic domain, reducing task complexity and improving the overall productivity, safety an effi ciency of the warehouse.

Links with European IoT Large-Scale Pilots (LSP)Other use cases will be defi ned in collaboration between BRAIN-IoT and IoT-LSPs: ACTIVAGE (smart living environ-ments for aging well), IoF2020 (smart farming and food security), MONICA (wearables for smart ecosystems) and AUTOPILOT (autonomous vehicles in a connected environment).

Use cases

Learn more: brain-iot.euCo-financed by the Connecting Europe Facility of the European UnionBRAIN IoT is fi nanced under

the H2020 Programme