Invited Talk at Asean IOT Innovation Week 2015 (My IoT Week)

1. 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

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

4. CHANGE IN BUSINESS MODEL

5. [Source:
http://postscapes.com/what-exactly-is-
the-internet-of-things-infographic ]

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?

8. Improved
Performance
Reduced
Costs
Create
Innovative
Products
New Revenue
Streams
Monitor
Autonomous
Optimize
Control
BUSINESS OPPORTUNITIES
Capabilities Benefits

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.”

25. SENSING-AS-A-SERVICE
WHAT-IF

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

27. HARNESSING THE CREATIVITY

28. PARTICIPATORY SENSING – “RAPID DEPLOYMENT”

29. REDUCTION OF DATA ACQUISITION COST –
“SUSTAINABLE BUSINESS MODEL”

30. DIFFERENT BUSINESS MODELS

31. COLLECT DATA PREVIOUSLY UNAVAILABLE –
“ASSIST SCIENTIFIC OR SURVEY ACTIVITIES”

32. CROWDSENSING
GETTING INSIGHTS FROM
EMPOWER THE CITIZENS TO
SENSE

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

42. [Source: http://inrix.com]

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

44. ASK OURSELVES
ARE WE READY?

45. THANK YOU
@REDtoneIOTREDtoneIOT