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IoT challenges
Roberto Minerva, IEEE IoT Initiative Chairman - TIMLAB
Tunis, INTERNET OF THINGS, A LEVER of ECONOMIC GROWTH– 13th May
2016
iot.ieee.org
IoT Definition
A few features of IoT (that we are stressing out in
IEEE IoT Initiative)
2
Smart Objects and
Sensors
Networks of Things
Self-organizing
systems
The Internet of Things (IoT) envisions a self-configuring and adaptive
complex system made out of networks of sensors and smart objects
whose purpose is to interconnect “all” things, including every day and
industrial objects in such a way to make them intelligent, programmable
and more capable of interacting with humans.
Intelligence at the edge
Massive Data
New communication
paradigms
Servitization
Virtual Continuum
IoT Challenges
Regulation
(Some) Technical Challenges
• Platform
• Security
• Signaling and
Protocols
• Data Management
• Cloud
• Large System
Management
(autonomics)
• Power Consumption
• Connectivity
• Programmability
• Complexity
• Standardization
• Virtualization
• Smart Objects
• Communication
Paradigms
(cooperation and
gossiping)
• …
Trying to identify the major challenges from a
technological perspective
What things are…
The Identity Challenge
Generic Info Contextualiz
ed Info
Passive
Objects
A Tag,
A pointer to
some
information
Info + a
location
Reactive
Objects
A switch at
home (turn it
on/off),
A smart meter
Home
Automation
(when
temperature
reaches 20 C
stop heating)
Autonomous
Objects
A Vending
Machine,
An Intelligent
Fridge
A Cleaning
Robot
What Objects are
IoT requires a Network of Networks
Plenty of Communications Technologies for short, medium and
long range (e.g., Zigbee, Dash 7, WiFi, LoRa, 4G and 5G)
Plenty of Protocols (REST, MQTT, COAP, XMPP, SensorML, …)
Edge Computing – Fog Computing – Cloud Computing
Plenty of different SW Platforms
Apps
Sensors /
Actuators/ Smart Objects
Distributed OS (comprising Local
OSes)
IoT Platform Services
Application Framework
Apps
Apps
Different Frameworks for
developing Applications
(Samsung, Google, …)
Local/Wide/Large Area Networks
IoT and Data Challenge
“OUR”SmartThings
Raw data to be
transformed into
Info
Personal
Profiling
FunctionalP
rofiling
Who, Where, When, What, Why, …
+
Events and commands
* = Bigger
DATA
• Who is the Owner of all
these Data ?
• Who has the right to
extract info ?
50 B Devices *
(Average Aggregated Traffic of M2M Devices)
~ 2MB/day = ~ 88.81 petabytes
/day
A fast pace technological world
dominated by Software
Software Platforms
Protocol Availability
Data Usage and Privacy/Security
Processes and management of IoT
Reliability / Autonomics
(Some) Business Issues
Value Chain
Viable Business
Models
Prosumers and
Users
Investments in
Infrastructure and
management of
Sensors
(Some) Social Issues
The Big Brother Syndrome
Fairness to Users
Easiness of usage
Security and Privacy
Disappearing Interfaces
Providers responsibility
Customers’ acceptance
IoT implies a lot of Challenges
• Definition of Things and
«Identity of Things»
Challenge
• Complexity Challenge
• Communication
Paradigms Challenge
• Data Challenge
• The Software Platform
Challenge
• Silos vs. Horizontal
Application Domains
• The revenue challenge
• Per device
• Connectivity
• Data
• The Value Chain
Challenge
• New Biz Model
Challenge
• Privacy Challenge
• Ownership Challenge
• Security Challenge
• Easiness of Use
Challenge
• Social Cooperation
Challenge
Regulation
And technical ones
are not necessarily
the major ones!
Engage With IEEE in IoT Today!
 The IEEE:
 www.ieee.org
 IEEE Internet of Things (IoT) Initiative:
 iot.ieee.org
 Email: iot-info@ieee.org
 IEEE Standards Association (IEEE-SA) – Internet of Things:
 standards.ieee.org/innovate/iot
 IEEE Xplore Digital Library:
 ieeexplore.ieee.org/Xplore/home.jsp
12
12

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Roberto Minerva: iot challenges - IoT Tunisia 2016

  • 1. IoT challenges Roberto Minerva, IEEE IoT Initiative Chairman - TIMLAB Tunis, INTERNET OF THINGS, A LEVER of ECONOMIC GROWTH– 13th May 2016 iot.ieee.org
  • 2. IoT Definition A few features of IoT (that we are stressing out in IEEE IoT Initiative) 2 Smart Objects and Sensors Networks of Things Self-organizing systems The Internet of Things (IoT) envisions a self-configuring and adaptive complex system made out of networks of sensors and smart objects whose purpose is to interconnect “all” things, including every day and industrial objects in such a way to make them intelligent, programmable and more capable of interacting with humans. Intelligence at the edge Massive Data New communication paradigms Servitization Virtual Continuum
  • 4. (Some) Technical Challenges • Platform • Security • Signaling and Protocols • Data Management • Cloud • Large System Management (autonomics) • Power Consumption • Connectivity • Programmability • Complexity • Standardization • Virtualization • Smart Objects • Communication Paradigms (cooperation and gossiping) • … Trying to identify the major challenges from a technological perspective
  • 5. What things are… The Identity Challenge Generic Info Contextualiz ed Info Passive Objects A Tag, A pointer to some information Info + a location Reactive Objects A switch at home (turn it on/off), A smart meter Home Automation (when temperature reaches 20 C stop heating) Autonomous Objects A Vending Machine, An Intelligent Fridge A Cleaning Robot What Objects are
  • 6. IoT requires a Network of Networks Plenty of Communications Technologies for short, medium and long range (e.g., Zigbee, Dash 7, WiFi, LoRa, 4G and 5G) Plenty of Protocols (REST, MQTT, COAP, XMPP, SensorML, …) Edge Computing – Fog Computing – Cloud Computing Plenty of different SW Platforms Apps Sensors / Actuators/ Smart Objects Distributed OS (comprising Local OSes) IoT Platform Services Application Framework Apps Apps Different Frameworks for developing Applications (Samsung, Google, …) Local/Wide/Large Area Networks
  • 7. IoT and Data Challenge “OUR”SmartThings Raw data to be transformed into Info Personal Profiling FunctionalP rofiling Who, Where, When, What, Why, … + Events and commands * = Bigger DATA • Who is the Owner of all these Data ? • Who has the right to extract info ? 50 B Devices * (Average Aggregated Traffic of M2M Devices) ~ 2MB/day = ~ 88.81 petabytes /day
  • 8. A fast pace technological world dominated by Software Software Platforms Protocol Availability Data Usage and Privacy/Security Processes and management of IoT Reliability / Autonomics
  • 9. (Some) Business Issues Value Chain Viable Business Models Prosumers and Users Investments in Infrastructure and management of Sensors
  • 10. (Some) Social Issues The Big Brother Syndrome Fairness to Users Easiness of usage Security and Privacy Disappearing Interfaces Providers responsibility Customers’ acceptance
  • 11. IoT implies a lot of Challenges • Definition of Things and «Identity of Things» Challenge • Complexity Challenge • Communication Paradigms Challenge • Data Challenge • The Software Platform Challenge • Silos vs. Horizontal Application Domains • The revenue challenge • Per device • Connectivity • Data • The Value Chain Challenge • New Biz Model Challenge • Privacy Challenge • Ownership Challenge • Security Challenge • Easiness of Use Challenge • Social Cooperation Challenge Regulation And technical ones are not necessarily the major ones!
  • 12. Engage With IEEE in IoT Today!  The IEEE:  www.ieee.org  IEEE Internet of Things (IoT) Initiative:  iot.ieee.org  Email: iot-info@ieee.org  IEEE Standards Association (IEEE-SA) – Internet of Things:  standards.ieee.org/innovate/iot  IEEE Xplore Digital Library:  ieeexplore.ieee.org/Xplore/home.jsp 12 12