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EMPOWERING SMART
CITIZENS TO SENSE
Dr. Mazlan Abbas
CEO - REDtone IOT Sdn Bhd
Email: mazlan.abbas@redtone.com
ASEAN IoT Innovation Forum
Hotel Istana, KL, August 25 2015
PRESENTATION CONTENTS
•  Introduction - Internet of Things and its Business Opportunities
•  The Challenges
•  Making Sense of Data
•  Participatory Approach - Empowering Citizens to Sense
•  Summary
MOVING FROM M2M TO IOT
THE CHANGING LANDSCAPE
CHANGE IN BUSINESS MODEL
[Source:
http://postscapes.com/what-exactly-is-
the-internet-of-things-infographic ]
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
SELECTING THE IOT BUSINESS


WHY SMART CITY?
Improved
Performance
Reduced
Costs
Create
Innovative
Products
New Revenue
Streams
Monitor
Autonomous
Optimize
Control
BUSINESS OPPORTUNITIES
Capabilities Benefits
Smart City Approach
Too much focus on the role of large technology companies and
governments as the catalysts of technology-enabled progress.
DO NOT ignore the most important dimension of cities i.e. the people who
live, work and create within them.
As citizens turn smart so will the cities they inhibit.
Traffic Volume Maps
76% want sensors in streets, pavements and public areas to report how
crowded a street, shopping mall or park is.
THE RISE OF SMART CITIZENS
Building Trust
Citizens encounter good customer
service across government
channels
SMART CITIZEN TOOLS
Open source and
open data
Make
visible the
invisible
Sensing the city Provide tools for
the citizens to
interpret and
change the
workings of the
city
Technology may help mitigate the “black hole” problem.
EMPOWER THE CITIZENS TO SENSE
BUILDING 3 TYPES OF CITIES
1.  ROI-driven
–  the aim of rolling out smart city technologies is to
generate income which pays for its deployment and
more. There are many cities in the western
hemisphere which fall into this category, such as Los
Angeles, London.
2.  Carbon-driven
–  The aim here is to reduce the carbon footprint and
ideally become carbon neutral long-term. These are
mainly cities in Middle and Northern Europe, such as
Luxembourg, Helsinki, etc.
3.  Vanity-driven
–  Finally, “vanity” driven cities are mainly driven by
events where the entire world is watching and they
want to be perceived as “modern”
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
MAKING SENSE OF DATA … BUT
WHAT CITY DATA?
THE GOLD RUSH
Wisdom
Knowledge
Information
Data
More
Important
Less
Important
Evaluated understanding
Appreciation of
Answers to questions.
Symbols
Understanding
Answers to
questions
WHO
WHY
HOW
WHAT
WHERE WHEN
VALUE IS CREATED BY MAKING SENSE OF DATA
VALUE PYRAMID
Wisdom
Knowledge
Information
Data
More
Important
Less
Important
N/A
Empty (0), Full (1)
Understanding
EXAMPLE - SMART PARKING
Who park at this lot?
What kind of vehicle?
Where is the empty parking lot?
When is the peak period?
How to implement a tiered charging?
How to find “overstayed” vehicles?
Why this parking area is not fully
occupied?
Who Benefits? - Citizens / Parking Operators / City Council / Shops
Home Health Transport OfficeWaste
WHAT-IF – WE CAN DO DATA BLENDING
Creating New Compound Applications
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
HOW-TO PROVIDE A SMART
CITY SOLUTIONS?
HOW-TO
Smart City App #1
SMART CITY SERVICE PROVIDER
Device
Provider
Network
Provider
Platform
Provider
Application
Provider
Customer
Network
 Platform
Smart City App #3
Smart City App #2
IOT ENCOURAGE INNOVATION
EVERYONE CAN BE IN THE GAME
“Makers, startups and crowdsourcing efforts result in
high numbers of low-revenue niche IoT applications.”
SENSING-AS-A-SERVICE
WHAT-IF
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
HARNESSING THE CREATIVITY
PARTICIPATORY SENSING – “RAPID DEPLOYMENT”
REDUCTION OF DATA ACQUISITION COST –
“SUSTAINABLE BUSINESS MODEL”
DIFFERENT BUSINESS MODELS
COLLECT DATA PREVIOUSLY UNAVAILABLE –
“ASSIST SCIENTIFIC OR SURVEY ACTIVITIES”
CROWDSENSING
GETTING INSIGHTS FROM
EMPOWER THE CITIZENS TO
SENSE
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)
MAKING CITIES BETTER USING CITIZENS
Traffic
NoiseEnvironment
Network Coverage
(WiFi/3G/4G)
LET ALL CITIZENS BE OUR “EYES”
Incident reporting facilities - citizens can report on issues concerning public infrastructure allowing
collective collaboration to ensure an active response
COLLECTIVE COLLABORATION WITH CITIZENS
MOBILE
APPLICATION
LIVABILITY LOCAL AREA
SERVICES
PUBLIC SAFETY NATURAL DISASTER
Open Data
Smartphone Users
Social Media
Users
PORTAL
CITISENSE.COM
CASE MANAGEMENT
SYSTEM
DASHBOARD
EMPOWERING SMART CITIZENS
Empowering Smart Citizens to Sense
WHICH CAME FIRST – THE CHICKEN OR THE EGG?
SMART CITIZENS AND SENSORS
CONNECTING AND AGGREGATING
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
[Source: http://inrix.com]
Changes in the law do not adapt as quickly as technology
changes behavior.
Example - Many city managers now carry Smartphones — and some
receive communications from citizens about potholes. They worry: The
law says, once a pothole is reported, the city is responsible for any
damage a car experiences — once it’s officially reported.
In a web 2.0 world, what’s an “official” report — when does liability
begin — once the city official receives a text? Once a formal notice is
filed? Once it’s tweeted to the world?
ONE THE MAIN CHALLENGES
ASK OURSELVES
ARE WE READY?
THANK YOU
@REDtoneIOTREDtoneIOT

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Empowering Smart Citizens to Sense

  • 1. EMPOWERING SMART CITIZENS TO SENSE Dr. Mazlan Abbas CEO - REDtone IOT Sdn Bhd Email: [email protected] ASEAN IoT Innovation Forum Hotel Istana, KL, August 25 2015
  • 2. PRESENTATION CONTENTS •  Introduction - Internet of Things and its Business Opportunities •  The Challenges •  Making Sense of Data •  Participatory Approach - Empowering Citizens to Sense •  Summary
  • 3. MOVING FROM M2M TO IOT THE CHANGING LANDSCAPE
  • 6. 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
  • 7. SELECTING THE IOT BUSINESS
 WHY SMART CITY?
  • 9. Smart City Approach Too much focus on the role of large technology companies and governments as the catalysts of technology-enabled progress.
  • 10. DO NOT ignore the most important dimension of cities i.e. the people who live, work and create within them.
  • 11. As citizens turn smart so will the cities they inhibit. Traffic Volume Maps 76% want sensors in streets, pavements and public areas to report how crowded a street, shopping mall or park is. THE RISE OF SMART CITIZENS
  • 12. Building Trust Citizens encounter good customer service across government channels
  • 13. SMART CITIZEN TOOLS Open source and open data Make visible the invisible Sensing the city Provide tools for the citizens to interpret and change the workings of the city Technology may help mitigate the “black hole” problem. EMPOWER THE CITIZENS TO SENSE
  • 14. BUILDING 3 TYPES OF CITIES 1.  ROI-driven –  the aim of rolling out smart city technologies is to generate income which pays for its deployment and more. There are many cities in the western hemisphere which fall into this category, such as Los Angeles, London. 2.  Carbon-driven –  The aim here is to reduce the carbon footprint and ideally become carbon neutral long-term. These are mainly cities in Middle and Northern Europe, such as Luxembourg, Helsinki, etc. 3.  Vanity-driven –  Finally, “vanity” driven cities are mainly driven by events where the entire world is watching and they want to be perceived as “modern”
  • 15. 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
  • 16. MAKING SENSE OF DATA … BUT WHAT CITY DATA? THE GOLD RUSH
  • 17. Wisdom Knowledge Information Data More Important Less Important Evaluated understanding Appreciation of Answers to questions. Symbols Understanding Answers to questions WHO WHY HOW WHAT WHERE WHEN VALUE IS CREATED BY MAKING SENSE OF DATA VALUE PYRAMID
  • 18. Wisdom Knowledge Information Data More Important Less Important N/A Empty (0), Full (1) Understanding EXAMPLE - SMART PARKING Who park at this lot? What kind of vehicle? Where is the empty parking lot? When is the peak period? How to implement a tiered charging? How to find “overstayed” vehicles? Why this parking area is not fully occupied? Who Benefits? - Citizens / Parking Operators / City Council / Shops
  • 19. Home Health Transport OfficeWaste WHAT-IF – WE CAN DO DATA BLENDING Creating New Compound Applications
  • 20. 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
  • 21. HOW-TO PROVIDE A SMART CITY SOLUTIONS? HOW-TO
  • 22. Smart City App #1 SMART CITY SERVICE PROVIDER Device Provider Network Provider Platform Provider Application Provider Customer Network Platform Smart City App #3 Smart City App #2
  • 23. IOT ENCOURAGE INNOVATION EVERYONE CAN BE IN THE GAME
  • 24. “Makers, startups and crowdsourcing efforts result in high numbers of low-revenue niche IoT applications.”
  • 26. 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
  • 28. PARTICIPATORY SENSING – “RAPID DEPLOYMENT”
  • 29. REDUCTION OF DATA ACQUISITION COST – “SUSTAINABLE BUSINESS MODEL”
  • 31. COLLECT DATA PREVIOUSLY UNAVAILABLE – “ASSIST SCIENTIFIC OR SURVEY ACTIVITIES”
  • 33. 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)
  • 34. MAKING CITIES BETTER USING CITIZENS Traffic NoiseEnvironment Network Coverage (WiFi/3G/4G)
  • 35. LET ALL CITIZENS BE OUR “EYES”
  • 36. Incident reporting facilities - citizens can report on issues concerning public infrastructure allowing collective collaboration to ensure an active response COLLECTIVE COLLABORATION WITH CITIZENS
  • 37. MOBILE APPLICATION LIVABILITY LOCAL AREA SERVICES PUBLIC SAFETY NATURAL DISASTER Open Data Smartphone Users Social Media Users PORTAL CITISENSE.COM CASE MANAGEMENT SYSTEM DASHBOARD EMPOWERING SMART CITIZENS
  • 39. WHICH CAME FIRST – THE CHICKEN OR THE EGG?
  • 40. SMART CITIZENS AND SENSORS CONNECTING AND AGGREGATING
  • 41. 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
  • 43. Changes in the law do not adapt as quickly as technology changes behavior. Example - Many city managers now carry Smartphones — and some receive communications from citizens about potholes. They worry: The law says, once a pothole is reported, the city is responsible for any damage a car experiences — once it’s officially reported. In a web 2.0 world, what’s an “official” report — when does liability begin — once the city official receives a text? Once a formal notice is filed? Once it’s tweeted to the world? ONE THE MAIN CHALLENGES