vision, emerging technologies and future iot research priorities · 2018-06-25 · vision, emerging...
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Funded by the European Commission
Workshop, Brussels, 15 May 2018Ovidiu Vermesan, SINTEF DIGITAL
Vision, emerging technologies and future IoT research priorities
PLATFORMS 4CPS
Funded by the European Commission
Societal challenges IoT evolution
• Global level analysis
• IoT technology perspective
Scarcity of
resources and
circular economy
Governance gap
Economical
paradigm shift
Shared economy
and global shared
responsibility
Globalisation,
trade, finances and
future markets
Global
hyperconnected
knowledge society
Dynamic technology
and innovation
Climate change
Demographic
changes
Diffusion of power
among countries
Security, safety,
privacy, trustDigital
transformation
Food securityHealth, wellness,
wellbeing
Production
paradigm shift,
automatization,
robotization
Funded by the European Commission
Internet Evolution
• Human-centred Internetsupporting values of openness,cooperation, decentralisation,inclusiveness and protection ofprivacy;
• Control to the users in order toincrease trust in the Internet.
• Provide more transparentservices, more intelligence,greater involvement andparticipation,
• Internet more open, robustand dependable, moreinteroperable and moresupportive of socialinnovation.
• Convergence of Consumer,Business and industrialInternet
Funded by the European Commission
Things Evolution
➢ Ubiquitous
➢ Collaborative
➢ Tactile
➢ Pervasive sensing
➢ Actuating
➢ Embedded into edge
➢ Connected
➢ Autonomous
➢ Embedded everywhere
➢ Having a digital twin
➢ Physical, Digital, Virtual
➢ Cognitive
➢ Energy harvesting
From RFID to robotic things and autonomous vehicles
Consumer - Business - Industrial
Funded by the European Commission
IoT Evolution
Using IoT technologies for bridging human andartificial intelligence to amplify human performanceand deliver breakthroughs to reshape peoples’ lives.
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Human-centered IoT
Human-centered IoT in the era of convergence of technologies such as Tactile Internet, distributedarchitecture, edge processing, distributed security, artificial intelligence, robotic things and blockchain
Blockchain-based platforms to securely connect artificial intelligence with IoT at the network edge.Shared distributed ledger, database that features strict confidentiality, access and consistencyrequirements.
The integration of these technologies into IoT applications also raises challenging questions about, forinstance, security breaches and the right to privacy.
AI, robotics and blockchain technologies are intertwin with next generation IoT and distributedarchitectures
Funded by the European Commission
Convergence challenge
AI moves IoT systems towards autonomous decision making and thus has the potential to optimise andmanage IoT systems like never before. Intelligence can be both embedded into and distributed amongindividual devices.
Blockchain as a form of a distributed ledger technology can address the trust challenge, by offeringtransparent processes and solutions that people and businesses can trust.
Robotic technologies have been integrated into existing network technologies to extend the range offunctional values. In IoT, robots become ‘things’ equipped with sensing and actuating capabilities.
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Future IoT technology integration
Innovation into the communication, computation, sensing and actuationactivities in IoT systems to drive the digital transformation of business andorganisations.
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Offer properties inherent in logical systems to IoT systems, so they are able toreason, make new inferences and autonomous decisions.
Ensure and strengthen the distribution property (a core quality) of IoTapplications, where the software and hardware components are located innodes which communicate and coordinate their actions through passingmessages to achieve common goals.
Funded by the European Commission
IoT Research Challenges
• Technological challenges
• European IoTresearch community
