MNSI Melbourne (2015)

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COPYRIGHT © 2015 ALCATEL-LUCENT. ALL RIGHTS RESERVED.

An Internet of Things Blueprint for Smarter Cities Marc Jadoul ( @mjadoul)

12 October 2015

Photo by Hai Linh Truong on Flickr


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The IoT: the next step in internet evolution

Pre-internet era

Internet of

Content Internet of

Services Internet of

People Internet of

Things

Mobile & social Web 2.0 WWW H2H

+ + + +

Machine comms, big data & context


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At the end of 2014 the number of mobile-connected

devices exceeded the world’s population

and this is just a beginning …


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By 2024 there will be 27 billion connected devices, generating

USD1.6 trillion revenues. Machina Research, June 2015


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Sensors and actuators everywhere

10+ **

2 *

100+ ***

(*) Components of the Fitbit Flex: 3-axis accelerometer, vibration motor; (**) Sensors in the Samsung Galaxy S6: Accelerometer, Barometer, Compass, Fingerprint Reader, Gesture Sensor, GPS, A-GPS, GLONASS, Gyroscope, Heart Rate Monitor, Proximity Sensor; (***) Sensors in today’s cars: air–fuel ratio, blind spot monitor, crankshaft position, curb feeler, defect detector, engine coolant temperature, Hall effect sensor, manifold absolute pressure, mass flow, oxygen, parking sensors, radar gun detector, speed, throttle position, tire-pressure, torque, transmission fluid temperature, turbine speed, variable reluctance, water-in-fuel, water-on-windshield, wheel speed, etc.


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An exploding variety of connected ‘things’


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Why now?

HW miniaturization & cost reduction

Growth of cloud storage and processing capabilites & resources

Proliferation of (wireless) devices

& endpoints

Startup culture enables disruptive innovation

Business case for industrial automation

Social, economic, environmental, and lifestyle stimuli

IoT


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How can we leverage IoT

technologies to create a

smarter world ?


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The IoT empowers a long tail of applications

# Applications

Ass

ets

/Applicati

on

“Killer” apps

The ‘long tail’

Segment/industry/

business specific


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… and enables a world of connected services


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Thriving on the 4 V’s of big data

Value (data enriching our daily lives)

Volume (data at rest)

Velocity (data in motion)

Variety (data in

many forms)

• Global data volume grows 40% per year

• Urbanized land areas generate 4.1 TB

data per day per km2

• 3.9 billion people worldwide connected

to the Internet in 2017

• 70 billion ‘things’ in 2020

• Exaflop-scale computing by 2019


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Big data is the ‘new oil’

Sensing

Monitoring

Analytics

Learning

Control

Provide data

Collect information

Create knowledge

Predict behavior

Take autonomous decisions


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An opportunity to improve people’s standard of living

Connected-home device shipments will grow at a CAGR of 67% over the next 5 years. Home-energy equipment, and safety and security systems will become popular first (BI)

Direct communication between cars may reduce accidents by up to 80% (US Transportation Department)

Mobile glucose monitoring tools can cut diabetes management costs by 50% (Endocrinology journal)

By 2020, the connected kitchen will contribute at least 15% savings in the food and beverage industry while leveraging big data analytics in the supply chain (Gartner)


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Challenges for state and local governments

Global competition

Changing public

services expectations

Environmental pressure Aging

Infrastructure

Aging population Budget

constraints

Urbani- zation

Volatility of political and budget

cycles

Digital transformation

of society & economy

Smart Cities

Energy supply

Digital inclusion

E-Gov- ernment

PPPs

Mobi- lity


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The proportion of people living in Australian capital cities is projected to increase from 66% in 2013 to 72% in 2053, equating to 28 million (Australian Bureau of Statistics, 2014)

Over the same period, the proportion of the population over 65 years will almost double to around 25% (Australian Government, 2015)

Congestion is the dominant challenge in cities and infra-structure networks (Infrastructure Australia Audit, 2015)

Australia’s broader digital economy will grow to contribute as much as $139 billion p.a. by 2020, i.e. 7.3% of GDP (Deloitte Access Economics, 2015)


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An intelligent guidance system

lets drivers find a free parking

space, and pay for it via their

smart phone (Pisa, Italy) (1)

Waste is only collected when

garbage bins are at full

capacity (Santander, Spain) (5)

Real-time tracking of air quality, noise levels

and traffic movements (Dublin, Ireland) (2)

Street lighting can be adjusted

for to improve security and

save energy (Amsterdam,

the Netherlands) (3)

A device worn around the neck lets

family and carers keep track of

people with dementia (Sussex, UK) (4)

(1) http://www.telekom.com/media/company/240264 (2) http://www.ubmfuturecities.com/author.asp?section_id=391&doc_id=526672 (3) http://amsterdamsmartcity.com/projects/detail/id/93/slug/smart-light (4) http://www.bbc.com/news/technology-22984876 (5) http://www.telecomstechnews.com/news/2014/mar/26/real-sim-city-how-over-15000-sensors-made-santander-smart2/

Making cities smarter

http://www.telekom.com/media/company/240264

http://www.ubmfuturecities.com/author.asp?section_id=391&doc_id=526672

http://amsterdamsmartcity.com/projects/detail/id/93/slug/smart-light



http://www.bbc.com/news/technology-22984876



http://www.telecomstechnews.com/news/2014/mar/26/real-sim-city-how-over-15000-sensors-made-santander-smart2/




















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Connected things within smart cities (in Millions)

Source: Gartner (2015), http://www.gartner.com/newsroom/id/3008917

2015 2016 2017

Healthcare 9.7 15.0 23.4

Public Services 97.8 126.4 159.5

Smart Commercial Buildings 206.2 354.6 648.1

Smart Homes 294.2 586.1 1,067.0

Transport 237.2 298.9 371.0

Utilities 252.0 304.9 371.1

Others 10.2 18.4 33.9

Total 1,107.3 1,704.2 2,674.0


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Big data vs. Open data

http://www.opendatanow.com/2013/11/new-big-data-vs-open-data-mapping-it-out

Big Data

Open Gov’t

Open Data

Citizen engagement programs not based on data (e.g. petition websites)

Non-public data for marketing, business analysis, (nat’l) security

Large datasets from scientific research, social media or non-government sources

Public data from state, local, federal government (e.g. budget data)

Large public government datasets (e.g. weather, GPS, Census, SEC, healthcare)

(*) ESG = Environmental, Social & Governance

Business reporting (e.g. ESG* data) and other business data (e.g. consumer complaints, transportation schedules)


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Four steps towards smarter cities

4. Citizen applications Open innovation through PPPs, API exposure, app development contests and startup ecosystems.

1. Network infrastructure One single broadband IP network, with wireline and wireless access.

2. Big data & Open data Data-centers and government cloud; open data policies and governance.

3. Smart public services Wireless sensors control traffic, pollution, lighting, waste, …


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Why should we care

about the

network ?


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The network can make or break the IoT

90% Within the next 5 years, more than 90% of all IoT data will be hosted on SP cloud platforms.

40%

By 2018, 40% of IoT-created data will be stored, processed, analyzed, and acted upon close to, or at the edge, of the network. 90%

Within 2 years, 90% of all IT networks will have an IoT-based security breach.

Source: IDC, December 2014

50%

Within 3 years, 50% of IT networks will transition from having excess capacity to handle the additional IoT devices to being constrained.


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RAN optimization

Device management

Power consumption

End-to-end security

Standardization & interoperability

SDN, NFV and edge cloud

Fiber backhaul

Home & enterprise GWs

Network scalability

Platform horizontalization


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A European visitor’s

view on the IoT in

Australia


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The developers of a “smart” cricket ball believe it could potentially train a new generation of spin bowlers and revive skills not seen since Shane Warne.

The ball, which was developed at Melbourne’s RMIT University, houses three high-speed gyros, PCB (printed circuit board), microcontroller, battery, memory and electronic equipment for wireless data transfer and inductive charging.


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At stake is the opportunity for

Australia and Australian companies

to be early beneficiaries of industry renaissance and the emergence of

new business models through IoT and the opportunity for Australia to

become a significant exporter of

business solutions enabled by IoT — if the policy and regulation setting

can be optimised early to support business-led innovation.

Release:

30/10


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Seven recommendations for Australia’s competitiveness

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Incorporate smart requirements into all national and state programs, e.g. transport, medical, defence, education, energy, construction, agriculture, telecomunications, …

Establish national measures of success and establish milestones to monitor progress, e.g. digital economic growth, sectoral sensorisation, accessible open data, API inventory, …

Stimulate and cultivate a collaborative culture for innovation using a globally competitive benchmark, e.g. PPP projects, digital inventions, innovation labs, developer contests, …


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Seven recommendations for Australia’s competitiveness

Initiate specific Smart City or Smart Home programs that leverage across sectors and applications, e.g. electricity, water, gas, telecommunications, …

Think big, but start small. Create network test beds, deployment blueprints, Smart City showcases, …

Implement it first time right. Create an IoT infrastructure that is scalable, manageable and secure by design.

Citizen engagement is key. Smart City projects should be participatory, inclusive and social.

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KEEP CALM

AND

READ THIS AT HOME http://bit.ly/1PiMqSF

http://bit.ly/1PiMqSF


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http://www.slideshare.net/mjadoul

DOWNLOAD

MY

PRESENTATION

http://www.slideshare.net/mjadoul


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One more thing…


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How to measure smart city initiatives?

http://www.smart-city-survey.com/ http://www.smart-city-survey.com

The big picture

Infrastructure

Vibrancy

Diversity

Reinvention

Home

http://www.smart-city-survey.com/











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Technology

MNSI Melbourne (2015)