The European Research Cluster on IoT – IERC -

Group Name: oneM2M PlenarySource: Friedbert Berens, FBConsulting Sarl, friedbert.berens@me.comMeeting Date: 2013-25-02Agenda Item: ???

IoT European Research Cluster

• IERC = Internet_of_Things(IoT) European Research Clusterhttp://www.internet-of-things-research.eu

• It is the cluster of EU IoT research projects in an international Collaborative Research environment supported/funded by the European Union/European Commission

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IERC Overview

• Funded under 7th FWP (Seventh Framework Programme)• Research area: Objective ICT-2009.1.3: Internet of Things and

Enterprise Environments• Cluster Coordinator: Dr. Ovidiu Vermesan

– Chief Scientist SINTEF, Oslo, NorwayE-Mail: Ovidiu Vermesan <Ovidiu.Vermesan@sintef.no>

• Cluster Standardization Coordinator: Patrick Guillemin– ETSI, France

E-Mail: Patrick Guillemin <Patrick.Guillemin@etsi.org>

• European Commission Cluster Coordinator: Dr. Peter Friess– DG Connect, Belgium

E-Mail: Peter Friess <Peter.FRIESS@ec.europa.eu>

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IERC Overview

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IERC Objectives – I –

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IERC Objectives – II –

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IERC Participants

• EU-funded projects (partly closed):– ASPIRE, CASAGRAS, CASAGRAS2, CONFIDENCE, CuteLoop, DACAR, ETP EPoSS,

EU-IFM, EURIDICE, GRIFS, HYDRA, IMS2020, Indisputable Key, iSURF, LEAPFROG, PEARS Feasibility, PrimeLife, RACE networkRFID, SMART, StoLPaN, SToP, TraSer, WALTER, IOT-A, INTREPID, IOT@Work, ELLIOT, SPRINT, NEFFICS, IOT-I, iCore, BUTLER, SmartAgriFood, Gambas, IoT6, Iot.est, Open-IoT, EBBITS,

• Stakeholders of closed projects:– BRIDGE, AITPL, AMI-4-SME, CE-RFID, CoBIS, Dynamite, PRIME, PROMISE and

SMMART stay active in the Cluster

• Cooperation European Technology Platforms – Artemis, ENIAC, EPoSS

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IERC Chain Activities

• The IERC projects are not stand alone but part of the activity chains in the Cluster (existing and developing). Activity chains are a method used by the projects to address the European Approach in different research areas.– Strategy – Schedule – Roles and Responsibilities– Contacts– Communications

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IERC Chain Activities overview

• AC1 – Architecture approaches and models– (Alessandro Bassi, Martin Bauer - IOT-A)

• AC2 – Naming & addressing schemes, means of search & discovery – (John Soldatos - OPENIOT)

• AC3 – Application scenarios, pilots and innovation– (Amine Houyou - IOT@Work)

• AC4 – Service openness and inter operability issues/semantic interoperability – (Philippe Cousin - PROBE-IT, Martin Serrano -OpenIOT)

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IERC Chain Activities overview

• AC5 – Governance, Privacy & Security issues – (Gianmarco Baldini - iCore, , Trevor Peirce)

• AC6 - Standardisation and pre-regulatory research – (Patrick Guillemin – ETSI, Friedbert Berens - BUTLER)

• AC7 – IoT Enbling Technologies– (Franck LeGall – BUTLER, Raffaele Giaffreda - iCore)

• AC8 – Cognitive Technologies for IoT – (Abdur Rahim Biswas – iCORE)

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For more information: Friedbert Berens, FBConsulting Sarl, Friedbert.berens@me.comWeb-page: http://www.internet-of-things-research.eu

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Annex – Active Projects in IERC

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Overview of EU FP7 IoT Project BUTLER• BUTLER: uBiquitous, secUre inTernet-of-things with

Location and contExt-awaReness– Started: October 2011 (Duration 3 Years)– Focuses context-awareness and security for IoT to enable smart life. – Objective 1: Improving/creating enabling technologies to implement a well-defined vision of secure, pervasive

and context-aware IoT.• Where links are inherently secure (from PHY to APP layers) applications cut across different scenarios (Home, Office,

Transportation, Health, etc.), and the network reactions to users are adjusted to their needs (learned and monitored in real time).

– Objective 2: Integrating/developing a new flexible smartDevice-centric network architecture • Where platforms (devices) function according to three well-defined categories: smartObject (sensors, actuators,

gateways), smartMobile (user’s personal device) and smartServers (providers of contents and services), interconnected over IPv6.

– Objective 3: Building a series of field trials• Which progressively integrate and enhance state-of-the-art technologies to showcase BUTLER’s secure, pervasive and

context-aware vision of IoT

ContextAwareness &Positioning

Technologies

UserIdentity,

Privacy &Security

SemanticAwareness &

BehaviourModelling

IoTArchitecture,Services &Platforms

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BUTLER’s Future Vision – Smart Life

Local Social Networks

Network ofVehicles

Network ofDevices

Extension to Infrastructure

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uBiquitous, secUre inTernet-of-things with Location and

contEx-awaReness

FP7 call: FP7-ICT-2011-7

Integrated Project

October 2011 September 2014

15 M€

1234 man.months

FP7 call: FP7-ICT-2011-7

Integrated Project

October 2011 September 2014

15 M€

1234 man.months

www.iot-butler.eu,

The European FP7-Project BUTLER

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iCore (http://www.iot-icore.eu)

iCore’s aim is to provide the foundations, architecture and functionality for a cognitive management paradigm for the IoT. A cognitive system has the ability to dynamically select its behaviour (managed system’s configuration), through self management/awareness functionality, taking into account information ‐and knowledge (obtained through machine learning) on the context of operation (e.g., internal status and status of environment), as well as policies (designating objectives, constraints, rules, etc.). In the light of the above, cognitive technologies constitute a unique and efficient approach for addressing the technological heterogeneity and obtaining context awareness, reliability and energy efficiency. Cognitive technologies have been applied to the management of diverse heterogeneous technologies (e.g., wireless access, backhaul/core segments). iCore will apply this successful paradigm for solving problems that are particular to the Internet of Things.

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IOT-A (http://www.iot-a.eu/)

• The project acronym “IoT-A” stands for “Internet of Things - Architecture”.

• IoT-A is a 3 year Integrated Project that is part of the FP7 ICT European Research Program in the area of Internet of Things.

• It started in September 2010 and will end in August 2013.

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IOT-A

• IoT-A proposes the creation of an Architectural Reference Model (ARM) together with the definition of an initial set of key building blocks.

• Together they are envisioned as crucial foundations for fostering a future Internet of Things. Using an experimental paradigm, IoT-A will combine top-down reasoning about architectural principles and design guidelines with simulation and prototyping to explore the technical consequences of architectural design choices.

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IOT@WORK (http://www.iot-at-work.eu)

• The designers of industrial automation systems have always faced the challenge of configuring a highly complex and demanding communication network as well as an IT security subsystem. This is a critical and costly activity, often performed manually, that is required to avoid failures that can lead to costly production interruptions or malfunction that can endanger involved humans.

• IoT@Work aims at designing an IoT architecture that takes into account the needs of the industry and factory automation systems, and specifically their networking and communication issues, improving their flexibility and reliability through what we call plug and work IoT. Specific features to be explored and developed by the IoT@Work project are related to factory automation systems auto-configuration and improved security.

• An IoT@Work enabled factory shop floor should make the life of an automation expert or engineer easier, reducing operative and capital expenditure. Transforming automation devices into Internet-enabled things automation experts will not have to care of configuring the bits and bytes exchanged between these things during the design and commissioning phases. The self-configuring Internet of Things (IoT) will hide most of the complexity of network protocols that are needed to properly configure a device from a network and operational point of view.

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Open-IOT (http://openiot.eu)

The main goal of OpenIoT is to research and deliver a middleware platform for the formulation of sensor-cloud infrastructures, where IoT services can be provided on-demand and in a utility based fashion. OpenIoT will therefore enable the storage of sensor and ICO data within cloud computing infrastructures, while at the same time providing mechanisms for the on-demand selection of sensors and data streams. OpenIoT will enable the dynamic orchestration of Internet-Connected Objects in response to requests for IoT services. As a typical example one can image a «Sensing-as-a-Service» functionality, on the basis of on-demand queries that retrieve and combine data from multiple distributed sensors. The OpenIoT middleware platform will be implemented and offered as Open Source Software (OSS).Naming, addressing and discovery solutions are at the heart of the OpenIoT operation, given that the on-demand fulfilment of service requests requires the discovery of sensor and ICO resources. In the sequel we describe the OpenIoT naming and addressing solutions.

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Ebbits (http://www.ebbits-project.eu)

• Enabling business-based Internet of Things and Services – ebbits is a four years Integrated Project funded by the European Commission within the 7th Framework Programme in the area of Internet of Things and Enterprise environments.

• ebbits started in September 2010 and will end in August 2014.

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Ebbits (http://www.ebbits-project.eu)

The ebbits project aims to develop architecture, technologies and processes, which allow businesses to semantically integrate the Internet of Things into mainstream enterprise systems and support interoperable real-world, online end-to-end business applications. More specifically, the ebbits platform is based on a Service-oriented Architecture and intends to support interoperable business applications with context-aware processing of data separated in time and space, information and real-world events, people and workflows, optimisation using high-level business rules, end-to-end business processes or comprehensive consumer demands. This results into the actual convergence of the Internet of People (IoP), the Internet of Things (IoT) and the Internet of Services (IoS) into the “Internet of People, Things and Services (IoPTS)” for business purposes.

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Ebbits

• ebbits is fostering major innovations within the following areas:• Physical World Sensors and Networks – supporting semantic interoperability

among heterogeneous physical world technologies and enterprise systems and defining P2P-based scalable network architecture featuring opportunistic communication paradigms;

• Data and Event Management – providing a Layered P2P Event Management Architecture capable of handling of physical, network, application and business events and supporting rule-based service orchestration;

• Centralised and Distributed Intelligence – defining standardised frameworks for fusing sensor data and integrating in business process and adopting ontology-based context models to promote self-awareness approaches;

• Semantic Knowledge Infrastructure – supporting hybrid querying and real-time reasoning also connecting many conventional data sources to semantic models;

• Frameworks for Business Process Life Cycle Management – taxonomy, metrics and solutions for production optimisation and food traceability.

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GAMBAS

IERC Overview

GAMBAS – Motivation • Vision – ubiquitous computing

– Distraction-free task support

• Today – ubiquitous Internet access– Lots of information available

through the mobile web– On-demand access with mobile

web browsers or mobile apps onsmart phones, tablets, etc.

• Resulting gaps cause distraction – Mobile access requires a lot of user input on ill-suited (small) devices– Information available upon manual request with little to no proactivity

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Mobile Web Mobile App

Search W

ebsite

Search App

Use

Website

Use

App

OpenBrowser

EnterTerm

PickPage

OpenMarket

EnterTerm

PickApp

… …

ClickLink

EnterData

EnterData

EnterData

GetResult

GetResult

GAMBAS – Approach

• Enable distraction-free information access– Enable the development of services …– … that automatically adapt to …– … the user‘s situation, behavior and intents …– … at runtime

• Approach– Mobile devices autonomously recognize their

users’ context using physical and virtual sensors – Devices automatically share context in a privacy preserving manner– Gathered context is used to adapt services used by the user and to

proactively recommend new services that improve the experience

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GAMBAS

Use

Service

Recognize Context

Discover Services

Pick Service

Query Context

Enforce Privacy

Share Context

Get Result

Recommend Services

AggregateContext

GAMBAS – Objectives

• Development of a generic adaptive middleware for behavior-driven autonomous services that encompasses:

– Models and infrastructures to support the interoperable representation and scalable processing of context.

– Frameworks and methods to support the generic yet resource-efficient multi-modal recognition of context.

– Protocols and tools to derive, generalize, and enforce user-specific privacy-policies.– Techniques and concepts to optimize the interaction with behavior-driven services.

• Validation of the middleware and its components using lab tests and a prototype application in the public transportation domain.

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GAMBAS – Contact

• Web: www.gambas-ict.eu • Email: pjmarron@uni-due.de • Mail: Prof. Dr. Pedro José Marrón

– Universität Duisburg-Essen– Bismarckstr. 90– 47057 Duisburg, Germany

• Phone: +49-203-379-1803• Fax: +49-203-379-3774

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GAMBAS (http://www.gambas-ict.eu)

• The overall objective of the GAMBAS project is the development of an innovative and adaptive middleware to enable the privacy-preserving and automated utilization of behaviour-driven services that adapt autonomously to the context of users.

• This middleware will contain a flexible context recognition framework that is able to capture the context of users (e.g. location, activity, plans, intents), a suite of security protocols to enforce the user’s privacy when sharing context information as well as a recommendation system to largely automate the selection of relevant services available to the user.

• At the core of the middleware there will be an interoperable data model to represent context information and a scalable data processing infrastructure to query and aggregate context information and to integrate context into services. Moreover, a discovery mechanism will be in place to find relevant data sources to fulfil the user’s requests.

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IoT6 (http://www.iot6.eu/)

• IoT6 stands for “Universal Integration of the Internet of Things through an IPv6-based Service Oriented Architecture enabling heterogeneous components interoperability”.

• IoT6 is a 3 years FP7 European research project from October 2011 until September 2014.

• It aims at exploiting the potential of IPv6 and related standards (6LoWPAN, CORE, COAP, etc.) to overcome current shortcomings and fragmentation of the Internet of Things. Its main challenges and objectives are to research, design and develop a highly scalable IPv6-based Service-Oriented Architecture to achieve interoperability, mobility, cloud computing integration and intelligence distribution among heterogeneous smart things components, applications and services.

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IoT6

Its potential will be researched by exploring innovative forms of interactions such as:•Multi-protocol integration & interoperability with heterogeneous devices.•Device mobility and mobile phone networks integration, to provide ubiquitous access and seamless communication.•Cloud computing integration with Software as a Service (SaaS).•IPv6 - Smart Things Information Services (STIS) innovative interactions.•Information and intelligence distribution.

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Internet of Things Environment for Service Creation and Testing (IoT.est)

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IoT Environment for Service Creation and Testing

• Objectives:– Knowledge-driven service creation and provisioning methodologies

covering the complete service life cycle

• Focus on IoT Services– Enabling service composition for IoT based services– Realising domain independence in Service Creation Environment (SCE) – Enabling re-usability of atomic service components– Integrating testing into the service lifecycle

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IoT Environment for Service Creation and Testing

• Supporting on Service Creation Environment (SCE), ontology and testing of IoT services in the applications’ lifecycle

• Need for efficient service life cycle support to facilitate rapid time to market solutions for IoT enabled business processes.

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IoT.est – service management

• Supporting goal-oriented and knowledge-driven service creation and provision => Integrating domain knowledge into service life cycle• Knowledge representation and interoperable service description

models• Inference mechanisms• Developing extended state machine model

• Dealing with dynamicity and changes in the IoT environments– integrating service testing in the service creation process – include efficient monitoring and adaptation into the service

provisioning

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IoT.Est (http://www.ict-iotest.eu)

• To date implementations of Internet of Things architectures are confined to particular application areas and tailored to meet only the limited requirements of their narrow applications. The ICT workprogramme highlights the importance of interoperability between the silo solutions and different technologies used in these disjointed sectors. Sensors/objects that provide information or perform as actuators implementing actions in the real world are plentiful and the range of communication technologies, networking protocols, information types and data formats used to exchange information or control data is vast. To overcome technology & sector boundaries and therefore dynamically design and integrate new types of services and generate new business opportunities requires a dynamic service creation environment that gathers and exploits data and information from sensors and actuators that use different communication technologies/formats.

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IoT.Est (http://www.ict-iotest.eu)

To accelerate the introduction of new IoT enabled business services (in short IoT services) an effective dynamic service creation environment architecture needs to provide:•Orchestration, i.e. composition, of business services based on re-usable IoT service components,•Self-management capable components for automated configuration and testing of services for “things”,•Abstraction of the heterogeneity of underlying technologies to ensure interoperability.

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IoT.Est (http://www.ict-iotest.eu)

IoT.est develops a test-driven service creation environment (SCE) for Internet of Things enabled business services. The SCE will enable the acquisition of data and control/actuation of sensors, objects and actuators. The project will provide the means and tools to define and instantiate IoT services that exploit data across domain boundaries and facilitate run-time monitoring which enables autonomous service adaptation to environment/context and network parameter (e.g., QoS) changes. At the core of IoT.est is the need to interact and connect to objects and the digital representations of things, for the service creation and run-time facilitation the availability of unique names and addresses is a must. Discovery mechanisms plat a similarly important role in the service lifecycle.IoT.est will prototype its major concepts and will evaluate the results for exploitation towards future IoT service creation, deployment and testing products.

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SmartAgrifood (http://www.smartagrifood.eu/)

• The SmartAgriFood project aims at the realization of a fundamental change in the agri-food sector by exploiting innovative technologies towards a Future Internet. This goes far beyond the adoption of single functionalities by certain actors, but to provide an entire set of enablers that will support the agri-food chain actors as well as all of us, as anyone represents a consumer.

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SmartAgrifood

The agri-food chain wide dimension and specific goals can be summarized as follows:•Increase the effectiveness of farming procedures and globally increase the availability of food for all,•Enabling also small farmers to become global actors in trading their supplies on a global market place,•Dramatically reduce the waste in food logistics considering both the local as well as the global distribution of produce that continuously undergoes a quality change/decay over its life cycle in very short time periods, compared to other business domains,•Avoid the distribution and consumption of harmful food, which, for example, has been contaminated with bacteria or pesticides,•Assure the trust of consumers in a sustainable food production, providing a profound evidence of e.g. the origin, quality and applied procedures, and•Establish a new dimension of communication in the food chain; enhancing the collaboration from farm to fork and at the same time opening a new dimension of feedback from fork to farm, enabling the realization of a new services and revenue models never thought of before.

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Some additional addresses:

• URL of other mentioned Project would be useful– CALIPSO www.ict-calipso.eu– CASAGRAS2 www.iot-casagras.org– CONET www.cooperating-objects.eu– FI-WARE www.fi-ppp.eu/projects/fi-ware/– OUTSMART www.fi-ppp-outsmart.eu– PROBE-IT www.probe-it.eu– SMART SANTANDER www.smartsantander.eu– SPRINT www.sprint-iot.eu– FIA/FISA/FISTAND (myFIRE) www.my-fire.eu– FInES www.fines-cluster.eu– FI-PPP www.fi-ppp.eu

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Some additional addresses:

• And we are involving SDOs too– ITU-T www.itu.int– CEN www.cen.eu– ISO, ISO/IEC JTC1 www.iso.org– CENELEC www.cenelec.eu– IEC www.iec.ch– IETF www.ietf.org– IEEE www.ieee.org– W3C www.w3c.org– OASIS www.oasis-open.org– OGC www. opengeospatial.org

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