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Internet of Things - Open the Innovation Gate
- 6. Copyright © RIOT 2015 All Rights Reserved
10/90 RULE
The Last 100 meter
connectivity
The “last 100 meters” represent > 90% potential number of connections
Today, the devices used in the “last 100 meters” are typically not connected. The wide-area network is
to a larger extent connected e.g. through smartphones, home routers (e.g. ADSL routers) and GSM /
3G / 4G Routers.
Still DisconnectedConnected World
- 16. Copyright © RIOT 2015 All Rights Reserved
s m a r t c i t y
smart transport
s m a r t
a u t o m o t i v e
END-TO-END IOT SERVICE PROVIDER
Device
Provider
Network
Provider
Platform
Provider
Application
Provider
Customer
Network
Platform
- 21. Copyright © RIOT 2015 All Rights Reserved
s m a r t c i t y
smart transport
s m a r t
a u t o m o t i v e
BUSINESS MODEL
Device
Provider
Network
Provider
Platform
Provider
Application
Provider
Customer
Network
Platform
IOT
Subsidiary
3
- 28. Copyright © RIOT 2015 All Rights Reserved
TO OVERCOME 3 KEY CHALLENGES
Only by addressing all three can organizations turn raw data into information
and actionable insights.
Integrating data
from multiple
sources
Automating the
collection of data
Analyzing data to
effectively identify
actionable insights
- 32. Copyright © RIOT 2015 All Rights Reserved
All personal items, such as mobile phones,
wrist watches, spectacles, laptops, soft
drinks, food items and household items,
such as televisions, cameras, microwaves,
washing machines, etc
Private business
organization has the right
to take the decision
whether to publish the
sensors attached to those
items to the cloud or not.
Public infrastructure such as
bridges, roads, parks, etc. All
the sensors deployed by the
government will be
published in the cloud
depending on government
policies.
Business entities who deploy
and manage sensors by
themselves by keeping
ownership. They earn by
publishing the sensors and
sensor data they own
through sensor publishers.
Personal and Households
Commercial
Sensor Data
Providers
Organizations
PublicPrivate
[Source: “Sensing as a Service Model for Smart Cities Supported by Internet of Things”, Charith Perera et. al., Transactions on Emerging
Telecommunications Technology, 2014]
CHALLENGES – DATA OWNERSHIP
- 36. Copyright © RIOT 2015 All Rights Reserved
The city would pay for access to
the light sensors in order to
decide when to turn on and off
the street lights
Gathering temperature, light,
pressure, humidity and
pollution.
COMMERCIAL IOT SENSOR PROVIDER
A university may want access
to the pollution information for
research purposes for a limited
period
The weather department
would want the temperature
and pressure data
The street town council center
would want the temperature
and humidity data for
planning during rough
weather
- 44. Copyright © RIOT 2015 All Rights Reserved
SMARTPHONE AS YOUR “SENSING ASSISTANT”
Sensors:
① Camera – “Eyes”
② Audio – “Ears”
③ Accelerometer –
“Speed”
④ GPS – “Location”
⑤ Gyroscope –
“Movement”
⑥ Compass – “Direction”
⑦ Proximity –
“Closeness”
⑧ Ambient light – “Eyes”
⑨ Others…
Crowdsourcing Via Crowdsensing
Context
① Spatial – Location / Speed Orientation
② Temporal – Time / Duration
③ Environmental – Temperature / Light / Noise Level
④ User Characterization – Activity (Mobility Pattern) / Social (Friends, Interactions)
- 50. Copyright © RIOT 2015 All Rights Reserved
Smart
City
Environmental
Monitoring
Multiple Sensors
Outdoor Parking
Management
Parking sensors
Mobile
Environmental
Monitoring
Sensors installed in
public vehicles
Traffic Intensity
Monitoring
Devices located at
main entrance of
city
Guidance to free
parking lots
Panels located at
intersections
Smart Citizen
Crowdsensing
Parks and Gardens
Irrigation
Sensors in green zones
• Temperature
• CO
• Noise
• Car Presence
• Ferromagnetic
sensors
• Temperature
• CO
• Noise
• Car
Presence
• Measure main traffic parameters
• Traffic volumes
• Road occupancy
• Vehicle speed
• Queue Length
• Taking information retrieved by the
deployed parking sensors in order to
guide drivers towards the available
free parking lots
• Moisture temperature
• Humidity
• Pluviometer (rain gauge)
• Anemometer (wind-speed)
• User generated feedback
with smartphones that help
to make cities better
- 54. Copyright © RIOT 2015 All Rights Reserved
PREDICTING FLOOD
1. What is the water level in the river?
2. When does the river swell up?
3. Where is the location of water rise?
4. Where are the areas that require immediate evacuation?
5. Who is contributing to the rise in water level?
6. How to control the water level?
7. How fast is the water rising?
8. Why is the water rising?
- 56. Copyright © RIOT 2015 All Rights Reserved
FLOOD MONITORING – VALUE PROPOSITION
1. Early warning system for floods
2. Locating the area of violation (cause of floods)
3. Efficient rescue planning
4. Plan the widening of the river banks
5. Plan deepening of the river bed
6. Predict the conditions of flooding when coupled with a weather
station, astronomical, tide and GIS.
- 58. Copyright © RIOT 2015 All Rights Reserved
MONITORING RIVER POLLUTION
1. What kind of pollutants in the river?
2. What is the pollution level?
3. When is the highest pollution detected?
4. Where is the location of pollutants?
5. Who is contributing to the rise in pollution?
6. How to control the pollution level?
7. How much is the pollution level?
8. Why is the pollution rising at certain time?
9. Why is the pollution rising at certain locations?
- 59. Copyright © RIOT 2015 All Rights Reserved
RIVER MONITORING - SENSORS
1. Chemical sensors
2. Water level sensors
3. Crowd sourced violation information (mobile device)
4. GPS input
5. Hydro morphology e.g. depth, width, flow
6. Water temperature sensor
7. In-situ (manual sampling)
8. Weather sensors
- 60. Copyright © RIOT 2015 All Rights Reserved
RIVER MONITORING – VALUE PROPOSITION
1. Early warning system for water contamination
2. Locating the area of violation
3. Detecting and alerting violations
4. Getting public involvement through crowd sourcing
5. Evidence platform for violations
6. Identify potential causes of pollution rise by correlating data with
water level pattern
7. Identify a profile of water in different months of the year. Any
change in profile will trigger external sources of pollution
8. Identify the spread of disease
9. Ecotourism planning