3 November 2015, Brussels, AIOTI (Alliance for Internet of Things Innovation) GA (General Assembly) Working Group 3 (WG03 IoT Standardisaion) Chairman presentation - pitch 10mn
This document discusses standards for the Internet of Things (IoT). It makes three key points:
1. Achieving interoperability across different industry sectors and standards bodies will be challenging due to competing business interests but is crucial for IoT success.
2. Testbeds that allow for plug-and-play testing of components from different vendors can help advance interoperability and assess new business models.
3. Viewing testbeds as a service could help recoup the large investments required and facilitate collaboration across organizations.
Beyond the hype and the media-fueled apocalyptic scenarios, let's analyze what A.I really
means for the future of the industrial world.
I'll demystify what’s beyond the buzzwords of the moment, and have a close look at A.I,
Blockchain and IoT, illustrated with some real-world use-cases.
I'll finally propose a few scenarios where these three technologies could converge into the 3rd era of the Internet.
The document discusses M2M (machine-to-machine) communication and the Eclipse M2M Industry Workgroup's efforts to standardize and promote open interoperability in the field. It outlines key trends driving growth in the M2M market, challenges facing development, and the Workgroup's goals of providing open communication protocols, application frameworks, tools, and a developer portal to support an ecosystem of integrated M2M solutions. Use cases illustrate potential applications in vertical markets like logistics, medical services, and more.
In IoT StreamConf's keynote, Todd Greene, CEO of PubNub, kicked off the conference with an optimistic keynote address, looking forward to solving the challenges of Internet of Things communication.
Fog computing security and privacy issues, open challenges, and blockchain so...IJECEIAES
Due to the expansion growth of the IoT devices, Fog computing was proposed to enhance the low latency IoT applications and meet the distribution nature of these devices. However, Fog computing was criticized for several privacy and security vulnerabilities. This paper aims to identify and discuss the security challenges for Fog computing. It also discusses blockchain technology as a complementary mechanism associated with Fog computing to mitigate the impact of these issues. The findings of this paper reveal that blockchain can meet the privacy and security requirements of fog computing; however, there are several limitations of blockchain that should be further investigated in the context of Fog computing.
This document discusses standards for the Internet of Things (IoT). It makes three key points:
1. Achieving interoperability across different industry sectors and standards bodies will be challenging due to competing business interests but is crucial for IoT success.
2. Testbeds that allow for plug-and-play testing of components from different vendors can help advance interoperability and assess new business models.
3. Viewing testbeds as a service could help recoup the large investments required and facilitate collaboration across organizations.
Beyond the hype and the media-fueled apocalyptic scenarios, let's analyze what A.I really
means for the future of the industrial world.
I'll demystify what’s beyond the buzzwords of the moment, and have a close look at A.I,
Blockchain and IoT, illustrated with some real-world use-cases.
I'll finally propose a few scenarios where these three technologies could converge into the 3rd era of the Internet.
The document discusses M2M (machine-to-machine) communication and the Eclipse M2M Industry Workgroup's efforts to standardize and promote open interoperability in the field. It outlines key trends driving growth in the M2M market, challenges facing development, and the Workgroup's goals of providing open communication protocols, application frameworks, tools, and a developer portal to support an ecosystem of integrated M2M solutions. Use cases illustrate potential applications in vertical markets like logistics, medical services, and more.
In IoT StreamConf's keynote, Todd Greene, CEO of PubNub, kicked off the conference with an optimistic keynote address, looking forward to solving the challenges of Internet of Things communication.
Fog computing security and privacy issues, open challenges, and blockchain so...IJECEIAES
Due to the expansion growth of the IoT devices, Fog computing was proposed to enhance the low latency IoT applications and meet the distribution nature of these devices. However, Fog computing was criticized for several privacy and security vulnerabilities. This paper aims to identify and discuss the security challenges for Fog computing. It also discusses blockchain technology as a complementary mechanism associated with Fog computing to mitigate the impact of these issues. The findings of this paper reveal that blockchain can meet the privacy and security requirements of fog computing; however, there are several limitations of blockchain that should be further investigated in the context of Fog computing.
This document discusses an IoT security solution that provides zero touch device onboarding through an SDO cloud service and implementation on GCP. It also mentions a low touch customer pilot program and SDO security ecosystem as well as Intel SDO ecosystem and ownership transactions.
The document discusses Accenture's Blockchain Automation Framework (BAF), which aims to address common challenges in blockchain projects. BAF is an open source framework that automates the deployment of production-ready distributed ledger networks. It implements the DLT Reference Architecture 2.0 and is designed for security, multi-cloud support, and infrastructure independence. BAF reduces deployment times from days to hours and allows networks to easily onboard new organizations.
The following list of predictions (Figure 1) explores the state of IoT in 2019 and covering IoT impact on many aspects business and technology including Digital Transformation, Blockchain, AI, and 5G.
Things (sensors, actuators) that connect to the
Internet either directly or via gateways. They use IoT networking
protocols like Bluetooth Low Energy, ZigBee, LoRaWAN, etc.
»
Gateway: A device that connects multiple things to the Internet
using IoT networking protocols and acts as a bridge to the
Internet.
»
IoT platform: A cloud-based service that manages connectivity,
data storage, and processing for IoT applications. It exposes
APIs for applications to access data and control things.
»
Application: Software that interacts with the IoT platform to
access data, control things, and provide value to end users.
This document discusses trends and areas of interest in Internet of Things (IoT). It notes that IoT builds on interest in big data and suggests the full potential of data. It predicts that enterprises will increasingly implement IoT solutions and that security will be a critical area of focus, especially with the widespread sharing of data between connected devices. Understanding privacy and security implications will be important as IoT continues to grow and interconnect more devices.
Presentation by Masahiro Shimohori of Intel from the Tokyo Tap Into NFC Seminar on February 9, 2016.
Presents the Internet of Things (IoT) Challenges and Solutions, the IoT Consortia and Standards that has Intel’s focus, and wraps up noting the increased necessity of interoperability and composability for IoT.
5th Meetup - Ethereum & IoT: examples, opportunities and IBM initiativeAlexander Hirner
The document discusses issues and opportunities around Internet of Things (IoT) technology over the next 5+ years. It notes concerns around data privacy, centralized control of user data and firmware updates. It argues that decentralized solutions are needed for secure messaging, firmware updates, and persistence of contracts to enable sustainable business models and address privacy/trust issues that currently limit IoT innovation. Combining cryptocurrencies and IoT could create new opportunities by pushing intelligence to network edges and using hardware wallets to verify transactions on resource-constrained devices.
IoT and Blockchain Challenges and RisksAhmed Banafa
The biggest challenge facing IoT security is coming from the very architecture of the current IoT ecosystem; it’s all based on a centralized model known as the server/client model. All devices are identified, authenticated and connected through cloud servers that support huge processing and storage capacities. The connection between devices will have to go through the cloud, even if they happen to be a few feet apart. While this model has connected computing devices for decades and will continue to support today IoT networks, it will not be able to respond to the growing needs of the huge IoT ecosystems of tomorrow.
The document discusses the Internet of Things ecosystem and how to unlock business value from connected devices. It defines IoT and provides projections on growth. It outlines the complex IoT ecosystem and stakeholders involved. It presents a business value framework focused on financial metrics, operating metrics, and relationships. Common value drivers of cost reduction and risk management are discussed. Strategies to unlock more value through revenue generation and innovation are suggested, including focusing on product/customer lifecycles. Overcoming security and privacy challenges is also addressed.
In this seminar you will listen to in depth explanation of the hottest technologies in 2019 and beyond. Prof. Banafa will discuss each technology its applications and challenges with real life cases. The interaction among all the four technology will be explored with focus on future trends in each of technology. As all technologies can be summarized in one word IBAC (IoT, Blockchain, AI, Cybersecurity) they can be explained with the following words: IoT: senses, Blockchain: remembers, AI: thinks, and Cybersecurity: protects.
The Internet of things (IoT) is the network of physical devices, vehicles, and other items embedded with electronics, software, sensors, actuators, and network connectivity which enable these objects to collect and exchange data.
A MIDDLEWARE FOR THE INTERNET OF THINGSIJCNCJournal
The Internet of Things (IoT) connects everyday objects including a vast array of sensors, actuators, and smart devices, referred to as “things” to the Internet, in an intelligent and pervasive fashion. This connectivity gives rise to the possibility of using the tracking capabilities of things to impinge on the location privacy of users. Most of the existing management and location privacy protection solutions do not consider the low-cost and low-power requirements of things; or, they do not account for the heterogeneity, scalability, or autonomy of communications supported in the IoT. Moreover, these traditional solutions do not consider the case where a user wishes to control the granularity of the disclosed information based on
the context of their use (e.g. based on the time or the current location of the user). To fill this gap, a middleware, referred to as the Internet of Things Management Platform (IoT-MP) is proposed in this paper.
Ethereum: A decentralized software platform for people and thingsAlexander Hirner
Blockchain 2.0 technologies promise to be the new layer for federated and accountable networks. At the Global IoT day 2015, I presented the motivation for decentralized but data-based business models and where / where not Ethereum fits into this picture.
Video: https://youtu.be/EGrFZuTrVKg?t=39s
The document discusses five emerging technologies in industry: 1) Internet of Things (IoT) which refers to the growing network of physical objects connected to the internet; 2) Artificial Intelligence (AI) which simulates human intelligence through machine learning and problem solving; 3) 5G networks which will provide faster wireless speeds and lower latency; 4) Serverless computing which allows users to deploy code without managing infrastructure and be charged based on usage; 5) Blockchain which is a distributed database existing across multiple computers that records transactions in an immutable digital ledger. These emerging technologies are expected to significantly impact businesses and create new opportunities across various industries over the next 5-10 years.
Secure and Smart IoT in Energy Sector Ahmed Banafa
Improves the energy industry on a larger scale with “Smart X”:
More control over operations
Predicting and mitigating problems
Reduce process costs and improve efficiency
Increase customer satisfaction
Development of digital business models
This is the first presentation of the Open Platforms portal (http://open-platforms.eu) a tentative to document existing platforms for IoT deployment, to foster reusability and facilitate technology choices. As part of the Internet of Things European Research Cluster (IERC) activity chain 1.
Generally speaking, Blockchain technology is the desired link in the Internet of Things to lay scalability, privacy and reliability concerns. for more info https://kalvigroup.com/blockchain-technology.php
Internet of Things, Cloud and Big Data.
The role of M2M.
Good Reasons for IoT Solutions
Businesses and Organizations are looking for efficiency, agility, ability to scale,new business opportunities and improving product and services.
This document summarizes key principles and assumptions of behaviorism and their implications for education:
- Behaviorism sees learning and behavior as shaped by environmental stimuli and experiences. Teachers should aim to create supportive classroom environments that foster positive behaviors.
- Learning is defined as observable changes in behavior, like improved test scores or fewer disruptions. Teachers should regularly assess student performance.
- Behaviorism focuses on specific, observable stimuli and responses. Teachers should identify what factors influence student behaviors.
- Contiguity is important - pairing a desired response with reinforcement close in time increases the chance it will be learned. Teachers can use enjoyable activities to associate subjects with positive feelings.
- Research on animal learning also applies to
This document discusses an IoT security solution that provides zero touch device onboarding through an SDO cloud service and implementation on GCP. It also mentions a low touch customer pilot program and SDO security ecosystem as well as Intel SDO ecosystem and ownership transactions.
The document discusses Accenture's Blockchain Automation Framework (BAF), which aims to address common challenges in blockchain projects. BAF is an open source framework that automates the deployment of production-ready distributed ledger networks. It implements the DLT Reference Architecture 2.0 and is designed for security, multi-cloud support, and infrastructure independence. BAF reduces deployment times from days to hours and allows networks to easily onboard new organizations.
The following list of predictions (Figure 1) explores the state of IoT in 2019 and covering IoT impact on many aspects business and technology including Digital Transformation, Blockchain, AI, and 5G.
Things (sensors, actuators) that connect to the
Internet either directly or via gateways. They use IoT networking
protocols like Bluetooth Low Energy, ZigBee, LoRaWAN, etc.
»
Gateway: A device that connects multiple things to the Internet
using IoT networking protocols and acts as a bridge to the
Internet.
»
IoT platform: A cloud-based service that manages connectivity,
data storage, and processing for IoT applications. It exposes
APIs for applications to access data and control things.
»
Application: Software that interacts with the IoT platform to
access data, control things, and provide value to end users.
This document discusses trends and areas of interest in Internet of Things (IoT). It notes that IoT builds on interest in big data and suggests the full potential of data. It predicts that enterprises will increasingly implement IoT solutions and that security will be a critical area of focus, especially with the widespread sharing of data between connected devices. Understanding privacy and security implications will be important as IoT continues to grow and interconnect more devices.
Presentation by Masahiro Shimohori of Intel from the Tokyo Tap Into NFC Seminar on February 9, 2016.
Presents the Internet of Things (IoT) Challenges and Solutions, the IoT Consortia and Standards that has Intel’s focus, and wraps up noting the increased necessity of interoperability and composability for IoT.
5th Meetup - Ethereum & IoT: examples, opportunities and IBM initiativeAlexander Hirner
The document discusses issues and opportunities around Internet of Things (IoT) technology over the next 5+ years. It notes concerns around data privacy, centralized control of user data and firmware updates. It argues that decentralized solutions are needed for secure messaging, firmware updates, and persistence of contracts to enable sustainable business models and address privacy/trust issues that currently limit IoT innovation. Combining cryptocurrencies and IoT could create new opportunities by pushing intelligence to network edges and using hardware wallets to verify transactions on resource-constrained devices.
IoT and Blockchain Challenges and RisksAhmed Banafa
The biggest challenge facing IoT security is coming from the very architecture of the current IoT ecosystem; it’s all based on a centralized model known as the server/client model. All devices are identified, authenticated and connected through cloud servers that support huge processing and storage capacities. The connection between devices will have to go through the cloud, even if they happen to be a few feet apart. While this model has connected computing devices for decades and will continue to support today IoT networks, it will not be able to respond to the growing needs of the huge IoT ecosystems of tomorrow.
The document discusses the Internet of Things ecosystem and how to unlock business value from connected devices. It defines IoT and provides projections on growth. It outlines the complex IoT ecosystem and stakeholders involved. It presents a business value framework focused on financial metrics, operating metrics, and relationships. Common value drivers of cost reduction and risk management are discussed. Strategies to unlock more value through revenue generation and innovation are suggested, including focusing on product/customer lifecycles. Overcoming security and privacy challenges is also addressed.
In this seminar you will listen to in depth explanation of the hottest technologies in 2019 and beyond. Prof. Banafa will discuss each technology its applications and challenges with real life cases. The interaction among all the four technology will be explored with focus on future trends in each of technology. As all technologies can be summarized in one word IBAC (IoT, Blockchain, AI, Cybersecurity) they can be explained with the following words: IoT: senses, Blockchain: remembers, AI: thinks, and Cybersecurity: protects.
The Internet of things (IoT) is the network of physical devices, vehicles, and other items embedded with electronics, software, sensors, actuators, and network connectivity which enable these objects to collect and exchange data.
A MIDDLEWARE FOR THE INTERNET OF THINGSIJCNCJournal
The Internet of Things (IoT) connects everyday objects including a vast array of sensors, actuators, and smart devices, referred to as “things” to the Internet, in an intelligent and pervasive fashion. This connectivity gives rise to the possibility of using the tracking capabilities of things to impinge on the location privacy of users. Most of the existing management and location privacy protection solutions do not consider the low-cost and low-power requirements of things; or, they do not account for the heterogeneity, scalability, or autonomy of communications supported in the IoT. Moreover, these traditional solutions do not consider the case where a user wishes to control the granularity of the disclosed information based on
the context of their use (e.g. based on the time or the current location of the user). To fill this gap, a middleware, referred to as the Internet of Things Management Platform (IoT-MP) is proposed in this paper.
Ethereum: A decentralized software platform for people and thingsAlexander Hirner
Blockchain 2.0 technologies promise to be the new layer for federated and accountable networks. At the Global IoT day 2015, I presented the motivation for decentralized but data-based business models and where / where not Ethereum fits into this picture.
Video: https://youtu.be/EGrFZuTrVKg?t=39s
The document discusses five emerging technologies in industry: 1) Internet of Things (IoT) which refers to the growing network of physical objects connected to the internet; 2) Artificial Intelligence (AI) which simulates human intelligence through machine learning and problem solving; 3) 5G networks which will provide faster wireless speeds and lower latency; 4) Serverless computing which allows users to deploy code without managing infrastructure and be charged based on usage; 5) Blockchain which is a distributed database existing across multiple computers that records transactions in an immutable digital ledger. These emerging technologies are expected to significantly impact businesses and create new opportunities across various industries over the next 5-10 years.
Secure and Smart IoT in Energy Sector Ahmed Banafa
Improves the energy industry on a larger scale with “Smart X”:
More control over operations
Predicting and mitigating problems
Reduce process costs and improve efficiency
Increase customer satisfaction
Development of digital business models
This is the first presentation of the Open Platforms portal (http://open-platforms.eu) a tentative to document existing platforms for IoT deployment, to foster reusability and facilitate technology choices. As part of the Internet of Things European Research Cluster (IERC) activity chain 1.
Generally speaking, Blockchain technology is the desired link in the Internet of Things to lay scalability, privacy and reliability concerns. for more info https://kalvigroup.com/blockchain-technology.php
Internet of Things, Cloud and Big Data.
The role of M2M.
Good Reasons for IoT Solutions
Businesses and Organizations are looking for efficiency, agility, ability to scale,new business opportunities and improving product and services.
This document summarizes key principles and assumptions of behaviorism and their implications for education:
- Behaviorism sees learning and behavior as shaped by environmental stimuli and experiences. Teachers should aim to create supportive classroom environments that foster positive behaviors.
- Learning is defined as observable changes in behavior, like improved test scores or fewer disruptions. Teachers should regularly assess student performance.
- Behaviorism focuses on specific, observable stimuli and responses. Teachers should identify what factors influence student behaviors.
- Contiguity is important - pairing a desired response with reinforcement close in time increases the chance it will be learned. Teachers can use enjoyable activities to associate subjects with positive feelings.
- Research on animal learning also applies to
This document contains a list of commands in French instructing someone to set the table, take out the dog, take out the trash, clean their room, wash the car, eat an apple, mow the lawn, and finish their homework.
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise stimulates the production of endorphins in the brain which elevate mood and reduce stress levels.
El documento proporciona instrucciones y detalles logísticos para un evento que tendrá lugar en el Puesto N° 17. Detalla la distribución de puestos, la programación del evento y una lista de colaboradores. También incluye puntos faltantes, detalles sobre proveedores, servicios e instalaciones disponibles y un diagrama sugerido para el puesto.
Based loosely on 2 Kings 4 this humourous melodrama has 6 speaking roles and room for non speaking extras as children and people at court.
What will the poor widow Ann Teek do when all that is left for her family to live on is some cod liver oil? Will Robin DaPoor and his henchman, Noah Count prevail? Reader's theater version can be used as a radio show format or adapted to a full production. Run time approximately 20 minutes.
This document discusses the Internet of Things (IoT) and opportunities for building IoT ecosystems, with a focus on agriculture. It provides an overview of key concepts like the IoT, Internet of Everything, and estimates of connected devices by 2020. It also describes the European response through initiatives like FIWARE and AIOTI, which are developing open standard IoT platforms and ecosystems. The document then outlines the FRACTALS project, which is building a regional IoT ecosystem for agriculture in the Balkans through an open call that received over 250 proposals from 26 countries. The goal is to support selected teams in the short term and establish a long-lasting IoT ecosystem for agriculture in the region.
This report begins with an examination of the global IoT industry and continues by looking into the Chinese IoT industry and its innovators. The report concludes with an analysis of the possible future opportunities and implications that China's expanding IoT industry could entail for Finland.
Slides from Mr. Georgios Tselentis, EC, DG CONNECT, Net Futures, Experimental Platforms.
Presented at CSC 2016, session2: Open Session on IoT Large Scale Pilots for Reference Zones in EU cities.
Presentation for the IEEE IoT Open Standards Committee about the standards landscape at ITU-T Study Group 20 - Internet of Things, Smart Cities and Communities.
Track 3 session 1 - st dev con 2016 -ieee- iot standards adn open sourceST_World
The document discusses various topics related to IoT standards and open source initiatives. It provides an overview of IEEE's activities in developing standards for emerging technologies like IoT, augmented reality, smart cities, 5G networks and more. It also discusses how IEEE is expanding its collaborative platform by embracing open source processes and bringing together open source and standards development communities.
Slides from Mr. Sergio Garcia Gomez, Chair, WG on Smart Cities, Alli- ance for IoT Innovation (AIOTI) (Telefonica). 
Presented at CSC 2016, session2: Open Session on IoT Large Scale Pilots for Reference Zones in EU cities.
This document discusses construction startups and open source technology. It covers topics like Industry 4.0 with open source, open source movements, open source service markets, open source licenses, autonomous vehicles, deep learning, IoT, drones, 3D printing, cloud platforms, smart cities, BIM, VR/AR, robotics, blockchains, open data, and construction startups using open source technologies. The document provides references on these topics as well.
International Conference on Machine Learning, IOT and Blockchain (MLIOB 2020)ijujournal
International Conference on Machine Learning, IOT and Blockchain (MLIOB 2020) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Machine Learning, IoT and Blockchain. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Machine Learning, Internet of Things and Blockchain.
IoT and machine learning - Computational Intelligence conferenceAjit Jaokar
Slides for IoT and Machine learning talk. Sign up at Sign up at www.futuretext.com to get forthcoming copies of papers on IoT and Machine learning, Real time algorithms for IoT and Machine learning algorithms for Smart cities
The document introduces OIC (Open Interconnect Consortium) and OIP (Open Internet Platform), two open source platforms for IoT. It provides background on the speaker and discusses the need to move beyond the hype around IoT to realize its full potential. OIC aims to establish interoperability standards while OIP provides an open source platform for building IoT solutions across different domains like smart cities. The speaker invites participation in growing the OIP open source community to develop IoT applications in Vietnam.
Ultan mulligan - Future Network Standardisation at ETSIFIA2010
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AIOTI GA WG03 (IoT Standardisation) Chairman Presentation - 3 Nov 2015
1. AIOTI
ALLIANCE FOR INTERNET OF THINGS INNOVATION
3rd November 2015 – AIOTI General Assembly
1
AIOTI WG03 Chairman – patrick.guillemin@etsi.org
Alternate Chair - jean-pierre.desbenoit@schneider-electric.com
WG03 IoT Standardisation Chair report
2. AIOTI
ALLIANCE FOR INTERNET OF THINGS INNOVATION
AIOTI WG3 achievements : since March 2015
191 Members in WG3 (325 Members in all AIOTI WGs), 252 subscribers in AIOTI WG3 EC
Intranet, ~30 SDO/Alliances in liaison with AIOTI WG3 during phase 1 : 3GPP, AIM, BBF,
CEN, CENELEC, ETSI, FIWARE, GS1, GSMA, IEC, IEEE P2413, IETF, IIC, IoT-Forum, IPSO
Alliance, IPv6 Forum, IRTF, ISO, ISO/IEC JTC1 WG10, ITU-T SG20, MIPI Alliance, OASIS,
OGC, OIC, OMA, oneM2M, ULE Alliance, W3C, Weightless SIG, WWRF, ZigBee, ZVEI...
AIOTI WG3 activities
IoT-Week in Lisboa on 16-18 June and the FoF/EFFRA EC Workshop on 5-6 October
Between March and October 2015 (Phase 1): three 3 AIOTI face-to-face meetings were
hosted using ad hoc joint/open AIOTI-ETSI TC SmartM2M meetings ~25 Web
conferences.
3 reports were delivered : IoT Landscape , High Level Architecture and Semantic
interoperability recommendations : http://bit.ly/1GtzJ5I
“The work of AIOTI WG03 is seen as a reference for the AIOTI Working Groups in order to
address the interoperability issues and to recommend the use of standard-based solutions
for the deployment of IoT solutions. We have been talking to SDOs and Alliances about
collaborations and interworking as a means to reduce fragmentation. What AOITI brings
to all is a dramatic acceleration of the pace of those discussions.”
WG3 IoT Standardisation
2
3. AIOTI
ALLIANCE FOR INTERNET OF THINGS INNOVATION
3
AIOTI WG3 – IoT Standardization work
Original scope of phase 1: “To develop accompanying documents for
the IoT LSP (Large Scale Pilot) calls. The documents should make
reference to existing and emerging IoT architectures from SDO's,
consortia. The document may also make recommendations with
regard to gaps, issues facing IoT architectures and challenges which
may be included within the scope of the calls (e.g. the challenge of
semantic interoperability). “
Results: The method was to start from a comprehensive IoT landscape
and standardisation framework, then to identify common High Level
IoT architecture and recommend how to achieve IoT Semantic
interoperability. A massive effort conduced in a very short period of
time to the production of three main deliverables : IoT Landscape and
IoT LSP Standard Framework Concepts, IoT High Level Architecture
(HLA) and IoT Semantic interoperability recommendations.
4. AIOTI
ALLIANCE FOR INTERNET OF THINGS INNOVATION
4
AIOTI WG3 IoT standardization landscape
IPv6 Forum Logo is considered to be included in Release 3.0 of IoT landscape
7. AIOTI
ALLIANCE FOR INTERNET OF THINGS INNOVATION
AIOTI WG03 IoT Reference Architecture
Consolidation of IoT reference architecture from many sources, i.e. IoT-A, IEEE
P2413, OneM2M, ITU-T, ISO/IEC JTC1
Architectural views based on ISO/IEC/IEEE 42010
7
A consolidated high level IoT Reference Architecture
“Things”
IoT Device
User
invokes
IoT Service
exposes
associated Virtual
Entity
Interacts with
Legend
contingenton
communication
“symbolic”
models & tracks
Functional model: Domain model:
8. AIOTI
ALLIANCE FOR INTERNET OF THINGS INNOVATION
Semantic interoperability a cross
the various application domains
is a major issue for IoT
Key challenges:
Ontologies that formalize the
meaning of domain data and
information models
Ontology merging, matching and
alignment strategies a cross
domains
Semantic discovery of services,
devices, things and their
capabilities
Semantic metadata
8
Semantic interoperability is key for IoT
AIOTI WG03 Semantic Interoperability
9. AIOTI
ALLIANCE FOR INTERNET OF THINGS INNOVATION
The publication of AIOTI WG3 reports 'releases' will continue
Release 1: end September 2015 : for EC/AIOTI WG3 toward other AIOTI WGs
Release 2: 16 October 2015 to AIOTI Steering Board made public on 26 October
2015
Plans:
3 ETSI White Papers will published AIOTI WG3 Release 2
Release 3 is planned by end 2015
ETSI STF 505 (IoT Analysis) in full collaboration with AIOTI and funded by the EC
will publish 2 ETSI Technical Reports on IoT Landscape + Use Cases and Gap
Analysis (+dissemination +EC workshops)
H2020 IoT LSP Pilots CSA
“In the meantime IoT research, development, innovation and standardisation will continue. It is
necessary to keep the momentum of AIOTI WG3 because this forum is useful for its members
but also for the entire IoT community. There is obviously space for improvement to sustain the
AIOTI WG3 open approach spirit. It is also necessary to provide more structured liaisons to
SDOs/Alliances that are willing to collaborate formally with AIOTI.”
ETSI Support to AIOTI WG3 will continue
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10. AIOTI
ALLIANCE FOR INTERNET OF THINGS INNOVATION
AIOTI way forward
Promotion of H2020 IoT LSP calls and AIOTI recommendations by European
Commission
o Dissemination and promotion of AIOTI results in conferences and workshops
o Organization of open information days
o IoT reference architecture workshop of EC and AIOTI WG3
Future directions and setup of AIOTI after this first phase (IoT LSP calls) discussed
by the AIOTI steering group
10
AIOTI – the next steps
CREATIVITY
SOLUTIONS
VISION
IDEAS
INSPIRATION
COOPERATION
11. AIOTI
ALLIANCE FOR INTERNET OF THINGS INNOVATION
www.aioti.eu #AIOTI
Thank you!
11
AIOTI WG03 Chairman – patrick.guillemin@etsi.org
Alternate Chair - jean-pierre.desbenoit@schneider-electric.com
12. AIOTI
ALLIANCE FOR INTERNET OF THINGS INNOVATION
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Introduction to Alliance for IoT Innovation – AIOTI
www.aioti.eu
AIOTI was launched by the European Commission in March 2015
to create a vibrant IoT ecosystem in Europe, and aims notably at
breaking silos between leading vertical IoT application areas.
AIOTI will be an important tool for supporting the policy and
dialogue within the Internet of Things (IoT) ecosystem and with
the European Commission.
AIOTI builds on the work of the IoT European Research Cluster
(IERC) and expands activities towards innovation within and
across industries. This also offers an opportunity to discuss legal
obstacles to further IoT take up, and to forge consensus. The
Alliance will also help the Commission prepare future IoT
research and innovation, standardization and policy.
13. AIOTI
ALLIANCE FOR INTERNET OF THINGS INNOVATION
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AIOTI Structure
Steering Committee
WG Chairs, European Commission, Startupbootcamp (SME Representative)
Working Groups (Chair, Alternate Chair):
WG 01: IoT European research cluster (SINTEF)
WG 02: Innovation Ecosystems (Philips, Stromatolite)
WG 03: IoT Standardization (ETSI, Schneider Electric)
WG 04: Policy issues (Vodafone, Thales)
WG 05: Smart living environments for ageing well (STMicro)
WG 06: Smart farming and food security (Gradiant, Orange)
WG 07: Wearables (Samsung, iMinds)
WG 08: Smart cities (Telefonica, Engineering)
WG 09: Smart mobility (Bosch, Dunavent)
WG 10: Smart environment/smart water management (Sigfox, TI)
WG 11: Smart manufacturing (Cisco, EFFRA)
14. AIOTI
ALLIANCE FOR INTERNET OF THINGS INNOVATION
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AIOTI WG3 – IoT Standardization scope of work
Standardisation will play a key role in the uptake of IoT. Since
many of the benefits from the Internet of Things will occur on
the basis of widespread adoption, sharing data across the value
chain and novel services, the development of global - industry-
led - standards is pivotal to ensure effectiveness, interoperability
and economies of scale. In particular reference models as the
basis for a reference architecture, that can be shared by
industrial actors across different application domains can help
breaking silos between leading vertical IoT application areas.