Présenté le 25 janvier 2013 lors de la Conférence TechnoArk 2013 à Sierre (CH) - "Vers un Internet de l'énergie"-> www.technoark.ch/conference .

1. Applications the Internet of Things will
revolutionize : a focus on Smart Cities

2. Who I am?
Age: 28
Master of Science in Telecommunication Engineering
Company: Libelium Wireless Communications
From 2008 to 2011: Software Engineer
Since 2011: Project Manager
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3. Who WE are?
+ We can take advantage of a horizontal approach to market
+ Allows us to access bigger accounts by partnering with system integrators
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4. Who WE are?
Revenues
*Team: 30 people 2.000.000 €
●5 sales 1.500.000 €
1.000.000 €
●2 marketing
500.000 €
●16 R&D (high-speed development!!)
0€
2007 2008
●7 operations 2009 2010 2011
Industry Awards
Technology leaders
KTN: 10 years of evolution
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5. Who WE are?
Customers in +45 countries worldwide
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6. Our solution
• Easy to maintain
• Easy to deploy
• Easy to be scalable
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7. Our solution
Up to 6 different sensor probes per enclosure
• Easy to change any sensor probe
• Easy to add new sensor probes
Solar powered
• Internal or external panels
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8. 8

9. Smart Parking
According to a study • Between 8 and 74% of traffic in
by UCLA Professor congested downtown areas is caused
Donald Shoup by people searching for parking
A recent study of New
York traffic estimates • 28% of drivers in Manhattah
that citizens cruise for • 45% of drivers in Brooklyn
parking
Studies in major cities • Estimate that drivers spend 3.5 to 14
(San Francisco, Sydney, minutes searching for a space each
New York and London) time they park
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10. Smart Parking
• Some surveys show that: Today Future
Global Population 6 billion 9 billion (2044)
Passenger Cars 800 million 2-3 billion (2050)
60% drivers have City Dwellers 50% of population 60% of population
(3 billion) (5 billion in 2030)
abandoned their search
for a space at least once
30% urban traffic caused
by drivers looking for
parking space
Smart Parking
systems make it
easier to find a
parking space
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11. Smart Parking
3 steps:
1. The parking nodes send the information to the repeaters
2. The repeaters send the information to the concentrator
3. The concentrator sends the information to the Internet
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12. Case Studies
Let's see what we can do
with these elements...
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13. Case Study 1: Salamanca
*Customer: Fundación Cartif
*7 sensors/node: temperature, humidity, CO, NO2, O3, Noise, Dust
*Solar powered
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14. Case Study 1: Salamanca
*Challenges:
• Network optimization
• Enclosure
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15. Case Study 2: Serbia
*Customer: Ericsson
*Temperature, humidity, CO, CO2, NO2
*GPS - > request time to arrival of buses
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16. Case Study 2: Serbia
*Challenges:
• Mobile & “Moving” Network
• Independent nodes
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17. Case Study 3: SmartSantander
*Customer: Universidad Cantabria, Telefónica I+D
*Biggest Smart City deployment (1,000 nodes)
*Smart Parking
*CO, luminosity, temperature and noise
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18. Case Study 3: SmartSantander
*Technical challenges
• Sensor calibration
• Sensor placement
• Interferences?
• Network topology (2.4GHz,
Digimesh)
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19. Case Study 3: SmartSantander
*Technical challenges (2)
• Over the Air Programming (help from
Universidad Cantabria)
o Unicast, Multicast, Broadcast
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20. Case Study 3: SmartSantander
*Deployment Challenges
• Timing
• Weather
• Interaction with existing elements
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21. The Future of Smart Cities
• Videoconferencing in all homes
• Customised Public transportation system
• Pneumatic waste management
• Water taxis
New Songdo, South Korea
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22. Citizens & Smart Cities
Fence effect 1.0 Fence effect 2.0
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23. Citizens & Smart Cities
What are you doing with MY
taxes?
How will I benefit from this?
Is it safe?
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24. Thanks!
Need more information?
Contact details
a.bielsa@libelium.com
+34 976 54 74 92
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