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)
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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
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