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What is the internet of things v3

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IoT introduction - video 1

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What is the internet of things v3

  1. 1. What is the Internet of Things Jeroen Hoebeke Jeroen Hoebeke, www.ibcn.intec.ugent.be Internet Based Communication Networks and Services (IBCN) Department of Information Technology (INTEC) Ghent University - iMinds 5/12/2014 1
  2. 2. Source Cisco Heterogeneous objects reveal information about the physical world, inject it into the virtual world (Internet) where it can be used as input to services, which can act again upon the physical world. Data created by PERSONS ➔ data created by THINGS, uniquely identifiable things with a virtual representation
  3. 3. HYPE?
  4. 4. IoT is not new Radio-frequency identification • Equip objects with tags, read radio tags, identify and inventory • First use of IoT (1999) Machine-to-machine (M2M) • One device = one SIM card • One-to-one device-server communication over operator managed network Internet of Things (IoT) • One device = one IP address • Internet-based device access: operator = transport network • Direct interactions, flexible applications over multiple communication technologies
  5. 5. Tomorrow The Internet of EVERYTHING
  6. 6. people data process things IoT IoE Internet of Everything Networked connection of people, things, data, and process
  7. 7. IoT will be big: how big? 50 Billion “Smart Objects” 50 Inflection point 6.8 7.2 7.6 Rapid Adoption rate of digital infrastructure: 5X faster than electricity and telephony World Population 2010 2015 2020 40 30 20 10 0 Billions of Devices 25 12.5 Timeline © 2013 Cisco and/or its affiliates. All rights reserved.
  8. 8. IoT will be big: how big? "Economic value-add (through the sale and usage of IoT technology) is forecast to be $1.9 trillion across sectors in 2020.
  9. 9. Big players contributing to the hype
  10. 10. The 3.2 billion $ deal
  11. 11. 11 HYPE? yes but one with great POTENTIAL
  12. 12. Application domains Internet of Things Internet Smart metering Industrial automation Building Automation eHealth Transportation Logistics Remote monitoring Smart cities
  13. 13. 5/12/2014 13 Source: Quirky
  14. 14. What if… everything is connected in HEALTHCARE
  15. 15. What if… everything is connected in MANUFACTURING
  16. 16. MAKING IoT HAPPEN Key challenges (- enablers)
  17. 17. Ingredients: Cloud-based IoT system Source: white paper arm.com / freescale.com Cloud Big data analytics Connectivity: local + global (wireless) Embedded, low-power Services/user interactions Security, trust…
  18. 18. Interoperability?
  19. 19. TODAY Manu-factoring Health-care … Domain specific applica ons Domain specific devices Proprietary ver cal solu ons: proprietary protocols & … technologies Manu-factoring Health-care IP connectivity … Application enablement Reconfigurable technologies … TOMORROW Open standards From closed vertical solutions to open horizontal solutions Easy support of wide diversity of IoT applications
  20. 20. 50 Billion “Smart Objects” 50 Inflection point 6.8 7.2 7.6 Rapid Adoption rate of digital infrastructure: 5X faster than electricity and telephony World Population 2010 2015 2020 40 30 20 10 0 Billions of Devices 25 12.5 Timeline © 2013 Cisco and/or its affiliates. All rights reserved. © 2013 Cisco and/or its affiliates. All rights reserved. Deployment & operation? Plug & play •Easy deployment (auto-configuration, assisted using e.g. wearable technologies…) •Self-management, self-diagnostics •Robustness at scale (e.g. reliable wireless connectivity) Distributed intelligence to handle huge amounts of traffic
  21. 21. Distributed intelligence Traditional Computing Model Infinite,bandwidth, 0 delay © 2013 Cisco and/or its affiliates. All rights reserved. IoE Computing Model Datacenter/Cloud Assumes limited bandwidth, variable delay, and intermittent connectivity Fog Assumes limited bandwidth, variable delay, and intermittent connectivity Device Datacenter/Cloud Endpoint
  22. 22. Security – privacy – data protection Technological aspect: security protocols exist / are being designed • E.g. IETF is very active on security for constrained devices • Open challenges: deal with limited capabilities, devices can be lost/stolen/sold/have finite life, scale, across systems Human/legal aspect • Apply security solutions (e.g. default router password) • How to control your data (e.g. Facebook data)
  23. 23. Turning data into knowledge CoAP-enabled sensors Tagging + semantics Reasoning on sensor and other data
  24. 24. Jeroen Hoebeke jeroen.hoebeke@intec.ugent.be www.ibcn.intec.ugent.be www.iminds.be Join iMinds

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