what is the internet of things v3
TRANSCRIPT
What is the Internet of ThingsJeroen 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
Source Cisco
Data created by PERSONS ➔ data created by THINGS,
uniquely identifiable things with a virtual representation
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.
HYPE?
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
Tomorrow
The Internet of EVERYTHING
people
data
process
things
IoT
IoE
Internet of Everything
Networked connection of people, things, data, and process
IoT will be big: how big?
7.2 6.8 7.6
World Population
Rapid Adoption rate of digital
infrastructure:
5X faster than electricity and
telephony
50 Billion “Smart Objects”
50
2010 2015 2020
0
40
30
20
10
Billi
on
s o
f D
ev
ice
s
25
12.5
Inflection point
Timeline
©2013Ciscoand/oritsaffiliates.Allrightsreserved.
©2013Ciscoand/oritsaffiliates.Allrightsreserved.
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.
Big players contributing to the hype
The 3.2 billion $ deal
11
HYPE?
yes
but one with great
POTENTIAL
Application domains
Internetof Things
Internet
Smart
metering
Industrial automation
Transportation
eHealth
Building
Automation
Logistics
Remote
monitoring
Smart cities
5/12/2014 13
Source: Quirky
What if… everything is
connected in
HEALTHCARE
What if… everything is
connected in
MANUFACTURING
MAKING IoT HAPPENKey challenges (- enablers)
Source: white paper arm.com / freescale.com
CloudBig data
analytics
Connectivity: local + global (wireless)
Ingredients: Cloud-based IoT system
Embedded,
low-power
Services/user
interactions
Security, trust…
Interoperability?
Manu-factoring
Health-care
…
Domainspecific
applica ons
Domainspecific
devices
…
Proprietaryver calsolu ons:proprietaryprotocols&
technologies
TODAY
IP connectivity
Manu-factoring
Health-care
…
Application enablement
Reconfigurable technologies
…
TOMORROW
Open standards
From closed vertical solutions to open horizontal solutions
Easy support of wide diversity of IoT applications
7.2 6.8 7.6
World Population
Rapid Adoption rate of digital
infrastructure:
5X faster than electricity and
telephony
50 Billion “Smart Objects”
50
2010 2015 2020
0
40
30
20
10
Billi
on
s o
f D
ev
ice
s
25
12.5
Inflection point
Timeline
©2013Ciscoand/oritsaffiliates.Allrightsreserved.
©2013Ciscoand/oritsaffiliates.Allrightsreserved.
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
© 2013 Cisco and/or its affiliates. All rights reserved.
Traditional Computing Model
Infinite,bandwidth,
0 delay
Device
Fog
Datacenter/Cloud
Assumes limited bandwidth,
variable delay, and intermittent
connectivity
Assumes limited bandwidth,
variable delay, and
intermittent connectivity
IoE Computing Model
Distributed intelligence
Datacenter/Cloud
Endpoint
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)
Turning data into knowledge
CoAP-enabled sensors
Tagging + semantics
Reasoning on sensor and other data
