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 DefinitionA 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

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 Contextualized Info

Passive Objects

A Tag,A pointer to someinformation

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

AppsApps

Different Frameworks for

developing Applications

(Samsung, Google, …)

Local/Wide/Large Area Networks

IoT and Data Challenge“O

UR

” S

mart

Thin

gs

Raw data to be

transformed into

Info

Personal Profiling

FunctionalProfiling

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

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