The European Research
Cluster on IoT – IERC Group Name: oneM2M Plenary
Source: Friedbert Berens, FBConsulting Sarl, friedbert.berens@me.com
Meeting Date: 2013-25-02
Agenda Item: ???
IoT European Research Cluster
• IERC = Internet_of_Things(IoT) European Research Cluster
http://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
2
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, Norway E-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>
3
IERC - IoT European Research Cluster
G
O
A
L
S
Bring together the
EU-funded
projects
with the aim of
defining a common
vision and the IoT
technology
and
development research
challenges
at
the
European level in the
view
of
global
development.
Address
the
large
potential
for
IoTbased capabilities in
Europe – coordinate,
encourage
the
convergence of on
going work on the
most important issues
- to build a broadly
based consensus on
the ways to realise
IoT in Europe.
4
IERC Objectives – I –
5
Objectives
– II –
IoT European IERC
Research
Cluster
Define and promote a common vision of the
Internet of Things.
Things
A very important process
Minimise overlaps,
overlaps maximise synergies
Contribution to overall Challenge 1
Technological challenges
Policy objectives
Li k to
Links
t IoT
I T Expert
E
t Group
G
6
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
European approach in
different
research
areas.
Strategy
Common Activities
Responsibilities
Cooperation
Deliverables
Innovation
7
IERC Activity Chains
•
•
•
•
•
•
•
•
AC1 - Architecture approaches and models
AC2 - Naming and addressing schemes. Means of search and discovery
AC3 - Application scenarios, Pilots and Innovation
AC4 - Service openness and inter-operability issues/semantic interoperability
AC5 - Governance, Privacy and Security issues
AC6 - Standardisation and pre-regulatory research
AC7 - IoT Enabling technologies
AC8 - Cognitive Technologies for IoT
Projects Cooperation
8
IERC Activities Chains
• Projects Involvement – Cooperation Matrix
IoT-A
BUTLER
iCore
IoT@Work
PROBE-IT
…
AC1
Architecture approaches and models
AC2
Naming and addressing schemes. Means of search and discovery
AC3
Application scenarios, Pilots and Innovation
AC4
Service openness and inter-operability issues/semantic interoperability
AC5
Governance, Privacy and Security issues
AC6
Standardisation and pre-regulatory research
AC7
IoT Enabling technologies
AC8
Cognitive Technologies for IoT
9
IERC – Strategic Research Agenda 2012
IERC
maintains
its
Strategic
Research
Agenda,
taking
into
account its experiences
and the results from the
on
going
exchange
among European and
international experts.
SRA
is
part
of
a
continuous
IoT
community
dialogue
initiated
by
the
European
Commission
for the European and
international
IoT
stakeholders.
The
results
give
a
perspective on experts
conceptualizations
of
what
constitutes
important research in
the field of Internet of
Things at the European
level within a global
context.
10
IERC – Strategic Research Agenda 2012
The IERC SRA builds on
the 2009 and 2010
Strategic
Research
Agendas and presents
the research fields and
an updated roadmap on
future R&D until 2015
and beyond 2020.
The result is a lively
document
that
is
updated every year with
expert feedback from
on going and future
projects within the FP7
Framework Program on
R&D in Europe.
IERC SRA forms the
foundation for further
consultations
with
researchers
and
practitioners in the field
of IoT and is used as
the basis in creating
action plans for the
future
research
and
development.
11
IERC - Mission - Cooperation
EU IoT Expert
Group
EU Funded IoT
Projects
IoT Global
Initiatives
Standardisation
Bodies
National Funded
Projects
National IoT
Expert Groups
IERC
IoT Multinational
Expert Groups
European
Technology
Platforms
12
For more information: Friedbert Berens, FBConsulting Sarl, Friedbert.berens@me.com
13
Web-page: http://www.internet-of-things-research.eu
Annex – Active Projects in IERC
14
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
15
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.
•
–
Objective 2: Integrating/developing a new flexible smartDevice-centric network architecture
•
–
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).
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
Context
Awareness &
Positioning
Technologies
User
Identity,
Privacy &
Security
Semantic
Awareness &
Behaviour
Modelling
IoT
Architecture,
Services &
Platforms
16
BUTLER’s Future Vision – Smart Life
Extension to
Infrastructure
Network of
Devices
Network of
Vehicles
Local Social
Networks
17
The European FP7-Project BUTLER
uBiquitous, secUre inTernetof-things with Location and
contEx-awaReness
FP7 call: FP7-ICT-2011-7
Integrated Project
October 2011  September 2014
15 M€
1234 man.months
www.iot-butler.eu,
18
iCore
o
Empowering IoT through Cognitive Technologies
Internet Connected Objects for
Reconfigurable Eco-systems
www.iot-icore.eu
19
Concepts
Open cognitive framework for the Internet of Things
(IoT) addressing three levels:
i) Virtual Objects (VOs) = Virtual representations of realworld objects
ii) Composite Virtual Objects (CVOs) = Cognitive mashups of semantically interoperable VOs
iii) Users/stakeholders perspectives
Key Issues
iCore scope and concepts
 Addressing interoperability issues through VO/CVOs
 Increase the reusability of objects outside the scope
for which they were originally deployed
 Cognitive mechanisms Increase reliability,
availability of services and energy efficiency
 Allow business integration of the views of multiple
stakeholders in the composition of services
iCore Value to European IoT Industries
Integration of IoT with novel and smart services for a number of vertical markets
 Enable the creation of new business opportunities based on emerging business model for iCore ecosystems
 Inclusion of societal criteria into IoT based solutions; Impact on European sustainable economical
growth

20
20
iCore standardisation topics
• The iCore project aims to initiate and contribute to pre-standardisation
activities so as to early on support the fast uptake by the end-users and
stakeholders.
• Challenges to be addressed:
21
– IoT architecture interoperability, with standardised interfaces towards wide
variety of existing upper layer applications and lower layer connected objects;
– Object-as-a-Service (OaaS) paradigms aligned with Service Oriented
Architecture (SOA) concepts to help leverage on the wealth of existing
solutions for mashing-up services and applications;
– Semantic descriptions of Virtual Object (VO) and Composite Virtual Object
(CVO) to fully exploit semantic-based reasoning potential and foster objects
reusability in different contexts;
– Naming, addressing and identification of VOs and CVOs for easy search,
discovery and selection of object;
– Security and privacy as well as governance of VOs and CVOs are also
important aspects where wider coordination is needed to foster adoption;
21
ETSI M2M and iCore
Virtual Object level
2
CVO level
User/Stakeholders level
ETSI M2M
iCore
M2M Device
Real World Object
M2M Gateway
Real World Object
M2M Service
Capabilities
Virtual Object (VO)
M2M
Applications
Composite Virtual
Object (CVO)
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.
23
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.
24
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.
25
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 ondemand 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 «Sensingas-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.
26
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.
27
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.
28
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 ontologybased 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.
29
GAMBAS
IERC Overview
30
GAMBAS – Motivation
Enter
Term
• Today – ubiquitous Internet access
Pick
Page
Pick
App
Enter
Data
Enter
Data
Get
Result
Enter
Term
…
Mobile Web
Enter
Data
Get
Result
Use App
• Resulting gaps cause distraction
Click
Link
Use Website
– Lots of information available
through the mobile web
– On-demand access with mobile
web browsers or mobile apps on
smart phones, tablets, etc.
Open
Market
Search App
– Distraction-free task support
Search Website
• Vision – ubiquitous computing
Open
Browser
…
Mobile App
– Mobile access requires a lot of user input on ill-suited (small) devices
– Information available upon manual request with little to no proactivity
31
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
Discover Services
Recommend Services
Pick Service
Query Context
Enforce Privacy
Use Service
–
–
–
–
Recognize Context
Share Context
Aggregate
Context
Get Result
– Mobile devices autonomously recognize their
users’ context using physical and virtual sensors
GAMBAS
– 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
32
GAMBAS – Objectives
• Development of a generic adaptive middleware for behaviordriven 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.
33
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
34
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.
35
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.
36
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.
37
Internet of Things Environment
for Service Creation and Testing
(IoT.est)
38
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
39
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.
40
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
41
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.
42
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.
43
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.
44
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.
45
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.
46
Some additional addresses:
• URL of other mentioned Project would be useful
–
–
–
–
–
–
–
–
–
–
–
CALIPSO
CASAGRAS2
CONET
FI-WARE
OUTSMART
PROBE-IT
SMART SANTANDER
SPRINT
FIA/FISA/FISTAND (myFIRE)
FInES
FI-PPP
www.ict-calipso.eu
www.iot-casagras.org
www.cooperating-objects.eu
www.fi-ppp.eu/projects/fi-ware/
www.fi-ppp-outsmart.eu
www.probe-it.eu
www.smartsantander.eu
www.sprint-iot.eu
www.my-fire.eu
www.fines-cluster.eu
www.fi-ppp.eu
47
Some additional addresses:
• And we are involving SDOs too
–
–
–
–
–
–
–
–
–
–
ITU-T
CEN
ISO, ISO/IEC JTC1
CENELEC
IEC
IETF
IEEE
W3C
OASIS
OGC
www.itu.int
www.cen.eu
www.iso.org
www.cenelec.eu
www.iec.ch
www.ietf.org
www.ieee.org
www.w3c.org
www.oasis-open.org
www. opengeospatial.org
48
Annex – Some more Info on IERC
49
IERC Strategic Research Agenda
• Cluster Book 2012
– The findings are included in Chapter 2 of Cluster
Book 2012 and issued to develop research
programs and projects in the future.
"The
future
has
already arrived. It's
just
not
evenly
distributed yet."
William Gibson
50
IERC Strategic Research Agenda
• IoT SRA 2012
"The
two
words
information
and
communication
are
often
used
interchangeably, but they signify quite
different things. Information is giving out;
communication is getting through."
Sydney Harris
"The world as we have created it is a process of our thinking. It cannot be changed
without changing our thinking."
Albert Einstein
51
IERC Position Paper - Research Priorities
• IERC Position Paper
52
IERC Position Paper – Innovation Vision
• IERC Position Paper
53
IERC Newsletter
•
•
•
•
•
Newsletter December 2010
Newsletter May 2011
Newsletter September 2011
Newsletter April 2012
Newsletter June 2012
54
IERC – Strategic Research
Internet of Things Vision
Internet of Things Common Definition
IoT Strategic Research Directions
Applications and Scenarios of Relevance
IoT Functional View
Application Areas
IoT Applications
Smart cities
Participatory sensing
Social networks and IoT
55
IERC – Strategic Research
IoT Applications
Smart Energy and the Smart Grid
Smart Mobility
Food and water tracking and security
Internet of Things and related Future Internet
technologies
Cloud Computing
IoT and semantic technologies
Autonomy
56
National Networks - Value Creation Network
• Identify research opportunities in IoT technology,
applications and services, focusing on the national
context.
57
National Networks - Value Creation Network
• Build and sustain new
partnerships
with
member states.
• Assist EU, and national
policies with new
examples of good
practices.
• Exchange of good IoT
applications
and
technology
developments
practices for business
networks.
Internet of Things
European Research Cluster
National Value Creation Networks
Research
Innovation
Deployment
Validation
58
Activities
• IoT Week – Organized every year in June.
• Presentations of demonstrations and pilots. IoT
applications and technology developments practices
for business networks.
• Innovation Incubators concepts.
• International cooperation
• Strategic Research Agenda
• Participation IoT Expert Group
• Standardization ETSI, CEN/CENELEC TC 225
WG6 IoT
59
IERC Web Space
www.internet-of-things-research.eu
60