Andrew J Haire
UNDERSTANDING SMART INFRASTRUCTURE
(M2M & INTERNET OF THINGS)
Agenda
 Let us define the Terms of the Trade…
 What do we know so far
 How did we get here
 What is the Technology
 Where are Opportunities
 What are Implications to Existing models
 What are Implications to Policy Makers
AJH /ITU NBTC Training, 29 Sep ‐ 2 Oct 2014
2
Some Preliminaries…
 Everything now is ‘Smart’
 Our planning focus should be toward:
The Empowered Citizen (or consumer)
 ‘M2M’ is Fastest growing part of ICT industry
 Benefits bring risks (both public policy and business) – of which we cannot lose sight…
 Growing Importance of ICT in and for society
Thinking outside the Phone!
AJH /ITU NBTC Training, 29 Sep ‐ 2 Oct 2014
3
Let’s Define…
M2M
IoT or IoE
 Devices and sensors
 Usually the ‘thing’ is asked
 They watch and inform
 Interaction
 They collect and send
 Things to Person
 Point to point
 Things to Things
Cloud
Big Data
 Houses Information
 More, Messy, Correlations  AND offers processing  Analytics
capabilities…
 Uses Cloud
 Not sensors
AJH /ITU NBTC Training, 29 Sep ‐ 2 Oct 2014
4
Let’s (further) Define…
Source: Arc C
AJH /ITU NBTC Training, 29 Sep ‐ 2 Oct 2014
5
Where is the industry going?
 Growth
 Technology
 Rapidly Shifting
 Business models
AJH /ITU NBTC Training, 29 Sep ‐ 2 Oct 2014
6
Where is the industry going?
 Growth
 Technology
 Rapidly Shifting
 Business models
What is the eco‐system
1. Things
2. Infrastructure
3. Computing & Storage
4. Apps
5. Analytics
AJH /ITU NBTC Training, 29 Sep ‐ 2 Oct 2014
7
Where is the industry going?
 Growth
 Technology
 Rapidly Shifting
 Business models
But the most versatile sensor of all:
AJH /ITU NBTC Training, 29 Sep ‐ 2 Oct 2014
People
8
Where is the industry going?
1. Embedded Sensors
2. Social Impact
3. Business Opportunities
 Growth
 Technology
 Rapidly Shifting
 Business models
Source: MetroEthernetForum;
AJH /ITU NBTC Training, 29 Sep ‐ 2 Oct 2014
9
Where is the industry going?
 Growth
 Technology
 Rapidly Shifting
 Business models
ce: Univ of Vt, USA
• Smart…
• Governance
• Healthcare
• Building
• Mobility
• Infrastructure
• Technology
• Citizen
• Energy
Implication: Business Models
• Apps
• Garbage collection based on container sensors
• Green Parks that advise when to water
• Lighting that adjusts with the presence of citizens
• Sensors to measure air quality, vibrations, noise
• Traffic control; public safety
• Transportation and Parking
• Payment systems; space identification; traffic flow tracking
• Augmented reality to determine location; City guides
• Bike sharing
• Buildings and residential dwellings
• Automated climate control based on living habits
• Open Data Initiatives
Implication: Regulator
 Access to public information
 Individual privacy and security
 Spectrum Policy
 Scarcity of identifying numbers
Implication: Regulator
 Access to public information
• Data Openness to achieve  Individual privacy and security
transparency
 Spectrum Policy
• Public Trust
• Societal Benefits
 Scarcity of identifying numbers
• Value belongs (usually) to others
Implication: Regulator
 Access to public information
 Individual privacy and security
 Spectrum Policy
• We need to be clear that these two issues are different
 Scarcity of identifying numbers
• Growing Ability to Track Individuals
• Rights to be Forgotten
• Responsibility to Protect from unwanted intrusion
• Traditional tenants of Data Protection:
• Individual Notice; Opt‐out; Anonomization
• Don’t work!
Implication: Regulator
 Access to public information
 Individual privacy and security
 Spectrum Policy
• Growing need to use scarce radio spectrum  Scarcity of identifying numbers
• M2M devices fix on a specific platform
• Varying types of transmission, from
• Brief bursts  continual streaming
• Highly infrequent  continuous
• Lends itself to spectral inefficiency
Implication: Regulator
 Access to public information
 Individual privacy and security
 Spectrum Policy
 Scarcity of identifying numbers
•
•
•
•
Some platforms use telephone numbers
Some use IP addresses
Some use unique identifiers Who manages & should they be regulated, if scarce?
Courtesy: ZDNet
Implication: Risks
Why are M2M projects ‘put off’ …
 See this as an Immature Market
 Can’t determine the need
 Data Security/Privacy
 Implementation Costs
 Complexity
Wrap…
 …
 What do we know so far
 How did we get here
 What is the Technology
 Where are Opportunities
 Existing models
 Policy Considerations
Move to uses of information with discussions ‐‘Cloud’ and ‘Big Data’
ndrew J Haire
ww.AndyHaire.com