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IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, Italy
Application scenarios and
real-world deployments for
IoT and Smart Cities
Dr Màrius Montón
marius@worldsensing.com
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón2
Outline
1.Company Presentation
2.What do we want from you
3.Role in the company (Innovation Unit Presentation)
4.Product Presentation
a.Spider
b.FastPrk
c. Loadsensing
5.Actual Technology
6.Challenges
7.Conclusions
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón
About Worldsensing
2008: founded in Barcelona, Spain
2010: Initiates product commercialization
2013: International Expansion
Board:
Ignasi: CEO, Ph.D. in Geophysics; passionate cycler
Mischa: Board of Directors, Ph.D. in Telecomms; Orange, KCL; pianist
Xavi: Scientifc Advisor, Ph.D. in Computing; passionate cycler
Jordi: CTO, MSc in Computing; passionate rower
Location:
Barcelona: “Silicon Valley” of Mediterranean; main office
London: consultant, sales & technical interface
3
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón
Low Power Wireless sensors are creating
business opportunities in Industrial sectors
Transportation Construction Oil & Gas
Current
Problems:
• Increasing congestion/More
people in cities
• Developed cities have financial
problems
• Cars in developing countries are
booming without control
Opportunities: • New revenue streams for
companies using technology
• Empower the cities and mayors
with the correct technology tools
• Lower infrastructure costs
• Very manual labor
• Tight regulation and
safety issues
• Inaccessible sites
• 24/7 inspections needed
• Increase safety and
comply with regulations
• Lower costs
• Optimize maintenance
cycles
• More demand for oil and
increasing cost of
exploration
• Long exploration cycles
and uncertainty
• Facing Shale Revolution
• Decreased exploration
cycles and times
• Identify new sources of
Oil & Gas
• Lower operational costs
4
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón
DATABASE
Instrumented + Interconnected + Intelligence = Smarter Planet
Sensors
cloud
(ubiquitous)
data
(scalable)
application
(secure)
network
(reliability)
sensor
(efficiency)
Worldsensing
user
Our solutions relies on Low power wireless
sensors & managing large data volumes
Analytics OutputStoring
5
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón
• Requirements
• Board of Directors
• Other BUs (market)
• Input
• New technologies
• Ideas!
• Academia
• Output
• Improvements to products
• New products
• Knowledge
Innovation Business Unit
6
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón
Innovation Business Unit
• Requirements
• Board of Directors
• Other BUs (market)
• Input
• New technologies
• Ideas!
• Academia
• Output
• Improvements to products
• New products
• Knowledge
• Personnel
• 3 x management
• Technical Manager
• Engineering Manager
• Me!
• 2 PhD Students
• All engineers in WS!!!
• EU Projects
• CALIPSO
• RELYonIT
• SWAP
7
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón
What Do We Want From You
Collaborate
Worldsensing: make our product better with your experience and our market knowledge
Innovate
Worldsensing: offers real market driven problems which need innovative solutions
Test your ideas
Real testbeds, real conditions, real applications
Get new projects
If you are interested contact me after the talk.
8
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón
Worldsensing Solutions
9
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón
What is FastPrk? –
Intelligent Parking Solution
1. Sensors used to manage
open parking spots
2. Client uses SmartPhone
App to identify open spots
3. Worldsensing software solution manages the parking of all cars
in the city and connects with payment and cities
10
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón
Control Center Application
11
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón
Becoming a global priority
12
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón
Remote Monitoring
Cloud Memory
Forget Cables
Plug and Play
End-to-End
What exactly is Loadsensing? –
Monitor Construction Assets Remotely
13
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón
Examples: Palau Sant Jordi, Barcelona
http://youtu.be/yexslRP8U0k
14
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón
Device
Sensors read
by this device
Sensors
currently being
monitored
Data from the sensors and
readings
Status and comments about the
device
Use in the control centre
15
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón
What is Spidernano?
Cableless seismic acquisition system
Capture large areas seismic vibration remotely without
wires and deliver it real time
Features
• Easy installation
• Real time
• Low cost (capex and Opex) and low power design
• Weather resistant
16
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón
Spidernano – Problem
Setting the Scene:
resources: humanity is heavily relying on increasingly scarce oil (gas, minerals, etc)
exploration: geological sub-soil imaging with Millions of seismic acquisition sensors
Headache of Acquisition:
logistics: long/expensive cables; large trucks; inflexible rollout; weeks of work
staff: need of specialized staff able to rollout cables over rugged terrain
cost: very, very expensive overall acquisition exercises
inefficient: 70% of the oil is left behind because imaging and production too coarse
17
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón
Spidernano – Problem
Setting the Scene:
resources: humanity is heavily relying on increasingly scarce oil (gas, minerals, etc)
exploration: geological sub-soil imaging with Millions of seismic acquisition sensors
Headache of Acquisition:
logistics: long/expensive cables; large trucks; inflexible rollout; weeks of work
staff: need of specialized staff able to rollout cables over rugged terrain
cost:very, very expensive overall acquisition exercises
inefficient: 70% of the oil is left behind because imaging and production too coarse
18
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón
Spidernano – Problem
Setting the Scene:
resources: humanity is heavily relying on increasingly scarce oil (gas, minerals, etc)
exploration: geological sub-soil imaging with Millions of seismic acquisition sensors
Headache of Acquisition:
logistics: long/expensive cables; large trucks; inflexible rollout; weeks of work
staff: need of specialized staff able to rollout cables over rugged terrain
cost:very, very expensive overall acquisition exercises
inefficient: 70% of the oil is left behind because imaging and production too coarse
19
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón
Actual technology
20
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón21
Tech WS – Loadsensing
• Datalogger for wireless monitoring
• Geotechnical
• Infrastructure
• Environmental
• Sensors
• Voltage / Current / Resistor
• Vibrating Wire
• Pulses
• Digital
• Sampling rate: 5 minutes – 1 day
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón22
Tech WS – Loadsensing
• Datalogger for wireless monitoring
• Geotechnical
• Infrastructure
• Environmental
• Sensors
• Voltage / Current / Resistor
• Vibrating Wire
• Pulses
• Digital
• Sampling rate: 5 minutes – 1 day
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón23
Tech WS – FastPrk
• Car detection
• Magnetic sensor
• Fixed sampling rate ~0.2 Hz
• Filtering and decision algorithm
• Wireless communication
• Battery powered (>5 years)
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón24
Tech WS – Spider
• Real time acquisition
• 3 channels
• 24 bits per channel
• 1000 samples per second
• GPS Synchronization
• 10 us delay
• Store locally
• Low power
• 1 month battery life
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón
Challenges
25
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón26
Challenges WS – Communications
• Ease sensor Deployment
• TSCH mesh networks may need hours to
be build
• Can't wait for minutes/hours to build mesh
network
• TSCH: Time slotted Channel Hopping
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón27
Challenges WS – Communications
• Ease sensor Deployment
• TSCH mesh networks may need hours to
be build
• Can't wait for minutes/hours to build mesh
network
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón28
• Ease sensor Deployment
• TSCH mesh networks may need hours to
be build
• Can't wait for minutes/hours to build mesh
network
• Need tools for real-time monitoring and
deployment
• <Put your idea here>
Challenges WS – Communications
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón29
• Reliability
• Interferences and no deterministic behavior.
• Need tools for real-time monitoring and
deployment
• <Put your idea here>
Challenges WS – Communications
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón30
• Temperature variations affect TSCH
networks
• TSCH networks very sensitive to clock drift
due to temperature changes
Challenges WS – Communications
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón31
09-04-2013 17:45:00
09-04-2013 23:15:00
10-04-2013 04:45:00
10-04-2013 10:15:00
10-04-2013 15:45:00
10-04-2013 21:15:00
11-04-2013 02:45:00
11-04-2013 08:15:00
11-04-2013 13:45:00
11-04-2013 19:15:00
12-04-2013 00:45:00
12-04-2013 06:15:00
12-04-2013 11:45:00
12-04-2013 17:15:00
12-04-2013 22:45:00
12-04-2013 23:55:11
12-04-2013 23:55:11
12-04-2013 23:55:11
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12-04-2013 23:55:11
0
5
10
15
20
25
30
35
40
Temperature
Column C
Column D
Date
ºC
• Temperature variations affect TSCH
networks
• TSCH networks very sensitive to clock drift
due to temperature changes
• <Put your idea here>
Challenges WS – Communications
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón32
09-04-2013 17:45:00
09-04-2013 23:15:00
10-04-2013 04:45:00
10-04-2013 10:15:00
10-04-2013 15:45:00
10-04-2013 21:15:00
11-04-2013 02:45:00
11-04-2013 08:15:00
11-04-2013 13:45:00
11-04-2013 19:15:00
12-04-2013 00:45:00
12-04-2013 06:15:00
12-04-2013 11:45:00
12-04-2013 17:15:00
12-04-2013 22:45:00
12-04-2013 23:55:11
12-04-2013 23:55:11
12-04-2013 23:55:11
12-04-2013 23:55:11
12-04-2013 23:55:11
12-04-2013 23:55:11
12-04-2013 23:55:11
12-04-2013 23:55:11
0
5
10
15
20
25
30
35
40
Temperature
Column C
Column D
Date
ºC
• Temperature variations affect TSCH
networks
• TSCH networks very sensitive to clock drift
due to temperature changes
• <Put your idea here>
Challenges WS – Communications
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón33
• Latency can be unacceptable
• Multi-hop networks can have long latencies
• TSCH can have long latencies
Sensor time ~ 5 seconds
SlotTime up to 30 seconds
Multi-hop Time < 1 minute
Basestation/Internet < 2 seconds
Total 1.5 minutes
Challenges WS – Communications
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón34
• Latency can be unacceptable
• Multi-hop networks can have long latencies
• TSCH can have long latencies
• Application unusable
Sensor time ~ 5 seconds
SlotTime up to 30 seconds
Multi-hop Time < 1 minute
Basestation/Internet < 2 seconds
Total 1.5 minutes
Challenges WS – Communications
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón35
# Devices Cost
Nodes 1000 1000 x 200$
Repeaters 100 100 x 200$
Basestations 10 10 x 2000$
Total 1110 240,000$
• Cost can be very high
• Short Range => Repeaters
• Operational
• Exploitation
Challenges WS – Communications
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón36
• Different protocols
• WSN own protocols (no interoperability)
• IEEE 802.15.4E, Contiki MAC, …
• IETF 6LoWPAN, IETF RPL, …
• CoAP
• Internet standard protocols (interoperability)
• IEEE 802.11, IEEE 802.3, …
• IP
• TCP, UDP
• HTTP, FTP, SMTP, …
Challenges WS – Communications
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón
Challenges WS – Communications
• Different protocols
• WSN own protocols (no interoperability)
• IEEE 802.15.4E, Contiki MAC, …
• IETF 6LoWPAN, IETF RPL, …
• CoAP
• Internet standard protocols (interoperability)
• IEEE 802.11, IEEE 802.3, …
• IP
• TCP, UDP
• HTTP, FTP, SMTP, …
• Basestation
• Translates between layers
• SW doing translation scales?
• Approach Layers
• <Put your idea here>
37
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón
Challenges WS – Communications
• Different protocols
• WSN own protocols (no interoperability)
• IEEE 802.15.4E, Contiki MAC, …
• IETF 6LoWPAN, IETF RPL, …
• CoAP
• Internet standard protocols (interoperability)
• IEEE 802.11, IEEE 802.3, …
• IP
• TCP, UDP
• HTTP, FTP, SMTP, …
• Basestation
• Translates between layers
• SW doing translation scales?
• Approach Layers
• <Put your idea here>
38
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón39
• But, we don't want a mesh network, we use them because are (were?) the best option
R
R
Basestation
Challenges WS – Communications
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón
R
R
Basestation
40
Challenges WS – Communications
• But, we don't want a mesh network, we use them because are (were?) the best option
• We “only” need a point-to-point communication
• Many-To-One communication
• Mesh network?
• <Put your idea here>
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón41
Challenges WS – Communications
• More and more sensors
• City became more noisy (BT, WiFi, …)
• Less available channels
• Interferences
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón42
Challenges WS – Communications
• More and more sensors
• City became more noisy (BT, WiFi, …)
• Less available channels
• Interferences
• Data loss!
• <Put your idea here>
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón43
Challenges WS – Data
• As sensors became cheaper, more sensors for
the same deployment.
• Palau Sant Jordi
• ~200 sensors now ~21Msamples/year
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón44
Challenges WS – Data
• As sensors became cheaper, more sensors for
the same deployment.
• Palau Sant Jordi
• ~200 sensors now ~21Msamples/year
• ~1000 tomorrow? ~100MSamples/year
• ~10000 future? ~1000MSamples/year
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón45
Challenges WS – Data
• As sensors became cheaper, more sensors for
the same deployment.
• Palau Sant Jordi
• ~200 sensors now ~21Msamples/year
• ~1000 tomorrow? ~100MSamples/year
• ~10000 future? ~1000MSamples/year
• Network Capacity
• Data aggregation?
• Processing-on-mote?
• <Put your idea here>
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón46
Challenges WS – Data
• As sensors became cheaper, more sensors for
the same deployment.
• Real Scenario - Moscow
• 1 month
• 5000 Sensors
• 3 MSamples
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón47
Challenges WS – Data
• As sensors became cheaper, more sensors for
the same deployment.
• Real Scenario - Moscow
• 1 month
• 5000 Sensors
• 3 MSamples
• Data retrieve
• Statistics
• BigData
• <Put your idea here>
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón48
Challenges WS – Data
• Data should be encrypted
• Fraud
• Privacy
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón49
Challenges WS – Data
• Data should be encrypted
• Fraud
• Privacy
• Same key for all motes?
• Force brute can break it ?
• Tempering device and reverse engineering for the key at the uC
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón50
Challenges WS – Data
• Data should be encrypted
• Fraud
• Privacy
• Same key for all motes?
• Force brute can break it ?
• Tempering device and reverse engineering for the key at the uC
• 1 device – 1 key
• Problems in server: thousands of pairs (deviceID, key)?
• Basestation decrypts?
• <Put your idea here>
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón51
Challenges WS – Detection
• Better Detection (~95% -> 100%)
• New Sensors
• Better Signal Processing
• Complex Decision Algorithms
• <Put your idea here>
• Less Batteries
• Low Power
• Energy harvesting
• <Put your idea here>
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón52
Challenges WS – Detection
• Better Detection (~95% -> 100%)
• New Sensors
• Better Signal Processing
• Complex Decision Algorithms
• <Put your idea here>
• Less Batteries
• Low Power
• Energy harvesting
• <Put your idea here>
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón53
Challenges WS – Spider
• Market demands
• 1000’s of Spiders has to be connected wirelessly
• sending 1000 samples per second x 3 channels (24 bits each)
• in a 10km2 area
• and all perfectly synchronized (~ 10 us)
• and has to be low power
• <Put your GREAT idea here>
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón
TestBed
54
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón
Testbed
• Real Testbed for FastPrk
• Barcelona
55
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón
Testbed
• Real Testbed for FastPrk
• Barcelona
• “Easy” access
56
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón
Testbed
• Real Testbed for FastPrk
• Barcelona
• “Easy” access
• Not user critical
• CALIPSO will use it
57
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón
Conclusions
58
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón
Conclusions
• Usually Academia
• Optimal solution for a problem
• These problems are just a part of the reality
59
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón
Conclusions
• Usually Academia
• Optimal solution for a problem
• These problems are just a part of the reality
• Industry
• Different needs
• Hard to deeply understand details
• Sometimes optimal is not best
• Lot of Trade-offs
60
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón
Conclusions
• Usually Academia
• Optimal solution for a problem
• These problems are just a part of the reality
• Industry
• Different needs
• Hard to deeply understand details
• Sometimes optimal is not best
• Lot of Trade-offs
• Worlsensing
• Best of Academia
• Driven by Industry (market)
• Meet in the middle
• If you need a real challenge contact me!
61
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón
End
Thank you for your attention
62
IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón
End
Thank you for your attention
And your Ideas!
63

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Application scenarios and real-world deployments for IoT and Smart Cities

  • 1. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, Italy Application scenarios and real-world deployments for IoT and Smart Cities Dr Màrius Montón marius@worldsensing.com
  • 2. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón2 Outline 1.Company Presentation 2.What do we want from you 3.Role in the company (Innovation Unit Presentation) 4.Product Presentation a.Spider b.FastPrk c. Loadsensing 5.Actual Technology 6.Challenges 7.Conclusions
  • 3. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón About Worldsensing 2008: founded in Barcelona, Spain 2010: Initiates product commercialization 2013: International Expansion Board: Ignasi: CEO, Ph.D. in Geophysics; passionate cycler Mischa: Board of Directors, Ph.D. in Telecomms; Orange, KCL; pianist Xavi: Scientifc Advisor, Ph.D. in Computing; passionate cycler Jordi: CTO, MSc in Computing; passionate rower Location: Barcelona: “Silicon Valley” of Mediterranean; main office London: consultant, sales & technical interface 3
  • 4. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón Low Power Wireless sensors are creating business opportunities in Industrial sectors Transportation Construction Oil & Gas Current Problems: • Increasing congestion/More people in cities • Developed cities have financial problems • Cars in developing countries are booming without control Opportunities: • New revenue streams for companies using technology • Empower the cities and mayors with the correct technology tools • Lower infrastructure costs • Very manual labor • Tight regulation and safety issues • Inaccessible sites • 24/7 inspections needed • Increase safety and comply with regulations • Lower costs • Optimize maintenance cycles • More demand for oil and increasing cost of exploration • Long exploration cycles and uncertainty • Facing Shale Revolution • Decreased exploration cycles and times • Identify new sources of Oil & Gas • Lower operational costs 4
  • 5. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón DATABASE Instrumented + Interconnected + Intelligence = Smarter Planet Sensors cloud (ubiquitous) data (scalable) application (secure) network (reliability) sensor (efficiency) Worldsensing user Our solutions relies on Low power wireless sensors & managing large data volumes Analytics OutputStoring 5
  • 6. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón • Requirements • Board of Directors • Other BUs (market) • Input • New technologies • Ideas! • Academia • Output • Improvements to products • New products • Knowledge Innovation Business Unit 6
  • 7. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón Innovation Business Unit • Requirements • Board of Directors • Other BUs (market) • Input • New technologies • Ideas! • Academia • Output • Improvements to products • New products • Knowledge • Personnel • 3 x management • Technical Manager • Engineering Manager • Me! • 2 PhD Students • All engineers in WS!!! • EU Projects • CALIPSO • RELYonIT • SWAP 7
  • 8. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón What Do We Want From You Collaborate Worldsensing: make our product better with your experience and our market knowledge Innovate Worldsensing: offers real market driven problems which need innovative solutions Test your ideas Real testbeds, real conditions, real applications Get new projects If you are interested contact me after the talk. 8
  • 9. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón Worldsensing Solutions 9
  • 10. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón What is FastPrk? – Intelligent Parking Solution 1. Sensors used to manage open parking spots 2. Client uses SmartPhone App to identify open spots 3. Worldsensing software solution manages the parking of all cars in the city and connects with payment and cities 10
  • 11. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón Control Center Application 11
  • 12. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón Becoming a global priority 12
  • 13. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón Remote Monitoring Cloud Memory Forget Cables Plug and Play End-to-End What exactly is Loadsensing? – Monitor Construction Assets Remotely 13
  • 14. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón Examples: Palau Sant Jordi, Barcelona http://youtu.be/yexslRP8U0k 14
  • 15. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón Device Sensors read by this device Sensors currently being monitored Data from the sensors and readings Status and comments about the device Use in the control centre 15
  • 16. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón What is Spidernano? Cableless seismic acquisition system Capture large areas seismic vibration remotely without wires and deliver it real time Features • Easy installation • Real time • Low cost (capex and Opex) and low power design • Weather resistant 16
  • 17. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón Spidernano – Problem Setting the Scene: resources: humanity is heavily relying on increasingly scarce oil (gas, minerals, etc) exploration: geological sub-soil imaging with Millions of seismic acquisition sensors Headache of Acquisition: logistics: long/expensive cables; large trucks; inflexible rollout; weeks of work staff: need of specialized staff able to rollout cables over rugged terrain cost: very, very expensive overall acquisition exercises inefficient: 70% of the oil is left behind because imaging and production too coarse 17
  • 18. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón Spidernano – Problem Setting the Scene: resources: humanity is heavily relying on increasingly scarce oil (gas, minerals, etc) exploration: geological sub-soil imaging with Millions of seismic acquisition sensors Headache of Acquisition: logistics: long/expensive cables; large trucks; inflexible rollout; weeks of work staff: need of specialized staff able to rollout cables over rugged terrain cost:very, very expensive overall acquisition exercises inefficient: 70% of the oil is left behind because imaging and production too coarse 18
  • 19. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón Spidernano – Problem Setting the Scene: resources: humanity is heavily relying on increasingly scarce oil (gas, minerals, etc) exploration: geological sub-soil imaging with Millions of seismic acquisition sensors Headache of Acquisition: logistics: long/expensive cables; large trucks; inflexible rollout; weeks of work staff: need of specialized staff able to rollout cables over rugged terrain cost:very, very expensive overall acquisition exercises inefficient: 70% of the oil is left behind because imaging and production too coarse 19
  • 20. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón Actual technology 20
  • 21. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón21 Tech WS – Loadsensing • Datalogger for wireless monitoring • Geotechnical • Infrastructure • Environmental • Sensors • Voltage / Current / Resistor • Vibrating Wire • Pulses • Digital • Sampling rate: 5 minutes – 1 day
  • 22. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón22 Tech WS – Loadsensing • Datalogger for wireless monitoring • Geotechnical • Infrastructure • Environmental • Sensors • Voltage / Current / Resistor • Vibrating Wire • Pulses • Digital • Sampling rate: 5 minutes – 1 day
  • 23. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón23 Tech WS – FastPrk • Car detection • Magnetic sensor • Fixed sampling rate ~0.2 Hz • Filtering and decision algorithm • Wireless communication • Battery powered (>5 years)
  • 24. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón24 Tech WS – Spider • Real time acquisition • 3 channels • 24 bits per channel • 1000 samples per second • GPS Synchronization • 10 us delay • Store locally • Low power • 1 month battery life
  • 25. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón Challenges 25
  • 26. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón26 Challenges WS – Communications • Ease sensor Deployment • TSCH mesh networks may need hours to be build • Can't wait for minutes/hours to build mesh network • TSCH: Time slotted Channel Hopping
  • 27. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón27 Challenges WS – Communications • Ease sensor Deployment • TSCH mesh networks may need hours to be build • Can't wait for minutes/hours to build mesh network
  • 28. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón28 • Ease sensor Deployment • TSCH mesh networks may need hours to be build • Can't wait for minutes/hours to build mesh network • Need tools for real-time monitoring and deployment • <Put your idea here> Challenges WS – Communications
  • 29. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón29 • Reliability • Interferences and no deterministic behavior. • Need tools for real-time monitoring and deployment • <Put your idea here> Challenges WS – Communications
  • 30. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón30 • Temperature variations affect TSCH networks • TSCH networks very sensitive to clock drift due to temperature changes Challenges WS – Communications
  • 31. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón31 09-04-2013 17:45:00 09-04-2013 23:15:00 10-04-2013 04:45:00 10-04-2013 10:15:00 10-04-2013 15:45:00 10-04-2013 21:15:00 11-04-2013 02:45:00 11-04-2013 08:15:00 11-04-2013 13:45:00 11-04-2013 19:15:00 12-04-2013 00:45:00 12-04-2013 06:15:00 12-04-2013 11:45:00 12-04-2013 17:15:00 12-04-2013 22:45:00 12-04-2013 23:55:11 12-04-2013 23:55:11 12-04-2013 23:55:11 12-04-2013 23:55:11 12-04-2013 23:55:11 12-04-2013 23:55:11 12-04-2013 23:55:11 12-04-2013 23:55:11 0 5 10 15 20 25 30 35 40 Temperature Column C Column D Date ºC • Temperature variations affect TSCH networks • TSCH networks very sensitive to clock drift due to temperature changes • <Put your idea here> Challenges WS – Communications
  • 32. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón32 09-04-2013 17:45:00 09-04-2013 23:15:00 10-04-2013 04:45:00 10-04-2013 10:15:00 10-04-2013 15:45:00 10-04-2013 21:15:00 11-04-2013 02:45:00 11-04-2013 08:15:00 11-04-2013 13:45:00 11-04-2013 19:15:00 12-04-2013 00:45:00 12-04-2013 06:15:00 12-04-2013 11:45:00 12-04-2013 17:15:00 12-04-2013 22:45:00 12-04-2013 23:55:11 12-04-2013 23:55:11 12-04-2013 23:55:11 12-04-2013 23:55:11 12-04-2013 23:55:11 12-04-2013 23:55:11 12-04-2013 23:55:11 12-04-2013 23:55:11 0 5 10 15 20 25 30 35 40 Temperature Column C Column D Date ºC • Temperature variations affect TSCH networks • TSCH networks very sensitive to clock drift due to temperature changes • <Put your idea here> Challenges WS – Communications
  • 33. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón33 • Latency can be unacceptable • Multi-hop networks can have long latencies • TSCH can have long latencies Sensor time ~ 5 seconds SlotTime up to 30 seconds Multi-hop Time < 1 minute Basestation/Internet < 2 seconds Total 1.5 minutes Challenges WS – Communications
  • 34. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón34 • Latency can be unacceptable • Multi-hop networks can have long latencies • TSCH can have long latencies • Application unusable Sensor time ~ 5 seconds SlotTime up to 30 seconds Multi-hop Time < 1 minute Basestation/Internet < 2 seconds Total 1.5 minutes Challenges WS – Communications
  • 35. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón35 # Devices Cost Nodes 1000 1000 x 200$ Repeaters 100 100 x 200$ Basestations 10 10 x 2000$ Total 1110 240,000$ • Cost can be very high • Short Range => Repeaters • Operational • Exploitation Challenges WS – Communications
  • 36. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón36 • Different protocols • WSN own protocols (no interoperability) • IEEE 802.15.4E, Contiki MAC, … • IETF 6LoWPAN, IETF RPL, … • CoAP • Internet standard protocols (interoperability) • IEEE 802.11, IEEE 802.3, … • IP • TCP, UDP • HTTP, FTP, SMTP, … Challenges WS – Communications
  • 37. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón Challenges WS – Communications • Different protocols • WSN own protocols (no interoperability) • IEEE 802.15.4E, Contiki MAC, … • IETF 6LoWPAN, IETF RPL, … • CoAP • Internet standard protocols (interoperability) • IEEE 802.11, IEEE 802.3, … • IP • TCP, UDP • HTTP, FTP, SMTP, … • Basestation • Translates between layers • SW doing translation scales? • Approach Layers • <Put your idea here> 37
  • 38. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón Challenges WS – Communications • Different protocols • WSN own protocols (no interoperability) • IEEE 802.15.4E, Contiki MAC, … • IETF 6LoWPAN, IETF RPL, … • CoAP • Internet standard protocols (interoperability) • IEEE 802.11, IEEE 802.3, … • IP • TCP, UDP • HTTP, FTP, SMTP, … • Basestation • Translates between layers • SW doing translation scales? • Approach Layers • <Put your idea here> 38
  • 39. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón39 • But, we don't want a mesh network, we use them because are (were?) the best option R R Basestation Challenges WS – Communications
  • 40. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón R R Basestation 40 Challenges WS – Communications • But, we don't want a mesh network, we use them because are (were?) the best option • We “only” need a point-to-point communication • Many-To-One communication • Mesh network? • <Put your idea here>
  • 41. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón41 Challenges WS – Communications • More and more sensors • City became more noisy (BT, WiFi, …) • Less available channels • Interferences
  • 42. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón42 Challenges WS – Communications • More and more sensors • City became more noisy (BT, WiFi, …) • Less available channels • Interferences • Data loss! • <Put your idea here>
  • 43. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón43 Challenges WS – Data • As sensors became cheaper, more sensors for the same deployment. • Palau Sant Jordi • ~200 sensors now ~21Msamples/year
  • 44. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón44 Challenges WS – Data • As sensors became cheaper, more sensors for the same deployment. • Palau Sant Jordi • ~200 sensors now ~21Msamples/year • ~1000 tomorrow? ~100MSamples/year • ~10000 future? ~1000MSamples/year
  • 45. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón45 Challenges WS – Data • As sensors became cheaper, more sensors for the same deployment. • Palau Sant Jordi • ~200 sensors now ~21Msamples/year • ~1000 tomorrow? ~100MSamples/year • ~10000 future? ~1000MSamples/year • Network Capacity • Data aggregation? • Processing-on-mote? • <Put your idea here>
  • 46. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón46 Challenges WS – Data • As sensors became cheaper, more sensors for the same deployment. • Real Scenario - Moscow • 1 month • 5000 Sensors • 3 MSamples
  • 47. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón47 Challenges WS – Data • As sensors became cheaper, more sensors for the same deployment. • Real Scenario - Moscow • 1 month • 5000 Sensors • 3 MSamples • Data retrieve • Statistics • BigData • <Put your idea here>
  • 48. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón48 Challenges WS – Data • Data should be encrypted • Fraud • Privacy
  • 49. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón49 Challenges WS – Data • Data should be encrypted • Fraud • Privacy • Same key for all motes? • Force brute can break it ? • Tempering device and reverse engineering for the key at the uC
  • 50. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón50 Challenges WS – Data • Data should be encrypted • Fraud • Privacy • Same key for all motes? • Force brute can break it ? • Tempering device and reverse engineering for the key at the uC • 1 device – 1 key • Problems in server: thousands of pairs (deviceID, key)? • Basestation decrypts? • <Put your idea here>
  • 51. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón51 Challenges WS – Detection • Better Detection (~95% -> 100%) • New Sensors • Better Signal Processing • Complex Decision Algorithms • <Put your idea here> • Less Batteries • Low Power • Energy harvesting • <Put your idea here>
  • 52. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón52 Challenges WS – Detection • Better Detection (~95% -> 100%) • New Sensors • Better Signal Processing • Complex Decision Algorithms • <Put your idea here> • Less Batteries • Low Power • Energy harvesting • <Put your idea here>
  • 53. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón53 Challenges WS – Spider • Market demands • 1000’s of Spiders has to be connected wirelessly • sending 1000 samples per second x 3 channels (24 bits each) • in a 10km2 area • and all perfectly synchronized (~ 10 us) • and has to be low power • <Put your GREAT idea here>
  • 54. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón TestBed 54
  • 55. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón Testbed • Real Testbed for FastPrk • Barcelona 55
  • 56. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón Testbed • Real Testbed for FastPrk • Barcelona • “Easy” access 56
  • 57. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón Testbed • Real Testbed for FastPrk • Barcelona • “Easy” access • Not user critical • CALIPSO will use it 57
  • 58. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón Conclusions 58
  • 59. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón Conclusions • Usually Academia • Optimal solution for a problem • These problems are just a part of the reality 59
  • 60. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón Conclusions • Usually Academia • Optimal solution for a problem • These problems are just a part of the reality • Industry • Different needs • Hard to deeply understand details • Sometimes optimal is not best • Lot of Trade-offs 60
  • 61. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón Conclusions • Usually Academia • Optimal solution for a problem • These problems are just a part of the reality • Industry • Different needs • Hard to deeply understand details • Sometimes optimal is not best • Lot of Trade-offs • Worlsensing • Best of Academia • Driven by Industry (market) • Meet in the middle • If you need a real challenge contact me! 61
  • 62. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón End Thank you for your attention 62
  • 63. IoT & Smart Cities Ph.D. School 2013 - September 16th - 21st, 2013 - Lerici, ItalyMàrius Montón End Thank you for your attention And your Ideas! 63