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“Connected	
  Communi?es	
  and	
  Internet	
  of	
  Things:	
  Bringing	
  Value	
  Through	
  Visibility”,	
  10th	
  Dec.	
  2014,	
  Universi?	
  Malaya	
  
Internet of Things (IoT)
Building a Smarter World
Dr. Mazlan Abbas
CEO, REDtone IOT
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THE UNTAPPED OPPORTUNITY
THE IOT MARKET
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BY 2020, HOW MANY DEVICES WILL EXIST?
2020
Gartner
Cisco
Intel
IDC 212 Billion Units
200 Billion Units
50 Billion Units
26 Billion Units
Source:
[1] http://www.gartner.com/newsroom/id/2684616
[2] http://www.intel.com/content/www/us/en/internet-of-things/infographics/guide-to-iot.html
[3] http://share.cisco.com/internet-of-things.html
[4]
http://www.zdnet.com/article/internet-of-things-8-9-trillion-market-in-2020-212-billion-connected-things/
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WHAT WILL BE THE IOT MARKET SIZE
By 2020
- IDC
By 2022
- Cisco
Sources:
[1] http://www.businesswire.com/news/home/20131003005687/en/Internet-Poised-Change-IDC#.VKZdfHTMUuc
[2] http://postscapes.com/internet-of-things-market-size
[3] Gartner Market Databook 2014 & Frost & Sullivan
[4] National IOT Strategic Blueprint
$14.4
Trillion
$8.9 Trillion RMB 5-10
Trillion
China
Market
RM 9.8
Billion
Malaysia
Market
14,720
Jobs
New Jobs in
Malaysia
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THE HISTORY OF INTERNET OF THINGS
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What is the
condition of
my goods.
Who is a
better and
safer bus
driver?
How to
reduce my
electricity
bill?
When is my
next train?
Knowing our Assets – Typical Questions
Where can
I park?
Why my
items are
not selling?
THE NEED TO CONNECT ASSETS/OBJECTS/THINGS


What IF we can connect ALL these assets and get the answers to ALL these questions?
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WHAT ARE SMART, CONNECTED PRODUCTS
(THINGS)?
Physical Components - comprise the product’s mechanical
and electrical parts.
Smart Components - amplify the capabilities and value of the
physical components
Connectivity Components - amplifies the capabilities and
value of the smart components and enables some of them to
exist outside the physical product itself.
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WHAT CAN SMART, CONNECTED THINGS DO?
Monitoring Control Optimize Autonomy
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How value is created and captured?
How the amount of new (and sensitive)
data is utilized and managed?
How relationships with traditional business
partners such as channels are redefined?
What roles companies should play as
industry boundaries are expanded?
IOT TRANSFORM OUR THINKING
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10/90 RULE – THE UNCONNECTED THINGS
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
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ConnectedWorld
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TheIOTEnablers
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2009
800,000 petabytes
2020
35 zettabytes
as much Data and Content

Over Coming Decade
44x
80% Of world’s data
is unstructured
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SENSING-AS-A-SERVICE
BUSINESS MODEL
OUR HYPOTHESIS
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  WHAT IF – we can create Compound Applications across industries?
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  Data Fusion & Compound Applications
Connect
Aggregate
Derive
Actionable
Insights
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  IOT Platform
Visualizations
Analytics
Applications
Social Media
Network
With localized
analytics
With
aggregated
analytics
Improved
Performance
Reduced
Costs
Create
Innovative
Products
New
Revenue
Streams
Sensors and Sensor Owners (Personal,
Private, Public & Commercial)
“Sensing-as-a-Service” by connecting, aggregating and deriving actionable insights”
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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
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MAKING SENSE OF SENSOR
DATA … BUT WHAT DATA?
THE GOLD RUSH
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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
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Wisdom Evaluated understanding
Understanding Appreciation of “why”
Knowledge Answers to “how”
questions
Information Answers to “who”, “what”,
“where” and “when”
questions
Data Symbols Empty (0), Full (1)
V
a
l
u
e
Who Benefits? – Determine the Stakeholders
LET’S START WITH A BLANK TEMPLATE

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Wisdom Evaluated understanding NA
Understanding Appreciation of “why” Why this parking area is not
fully occupied?
Knowledge Answers to “how”
questions
How to implement a tiered
charging?
How to find “overstayed”
vehicles?
Information Answers to “who”, “what”,
“where” and “when”
questions
Who park at this lot?
What kind of vehicle?
Where is the empty parking
lot?
When is the peak period?
Data Symbols Empty (0), Full (1)
V
a
l
u
e
Who Benefits? - Citizens / Parking Operators / City Council / Shops
EXAMPLE – SMART PARKING
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IOT SOLVING SMART CITY ISSUES
1.  Who is using the car
park?
2.  What is the status of
the car park?
3.  When was the car
park used?
4.  Where is the location
of empty car park?
5.  How far is the car
park?
6.  How much can we
charge?
7.  How to optimize the
car park?
8.  Why so many cars
prefer a particular
carp park?
9.  Why my car park
revenue is down?
1.  Who is collecting the
garbage?
2.  What is the status of
garbage bin?
3.  When was the
garbage collected?
4.  Where is the location
of full bins?
5.  How to plan the route
of the trucks?
6.  How many days till the
next collection?
7.  How much garbage is
produced in an area?
8.  Why is the garbage
truck not picking up
garbage?
9.  Why is a particular
area producing more
garbage?
Smart Parking Smart Waste
Management
1.  Who triggered the
lights?
2.  What is the brightness
of the light?
3.  When were the lights
switched on?
4.  Where is the location
of faulty light?
5.  How bright should the
lights be?
6.  How long should the
lights be on?
7.  How busy is the road?
8.  Why is the cost of
maintenance high?
1.  Who is driving the
bus?
2.  What is the
occupancy?
3.  What is the bus
condition?
4.  What is the driving
pattern?
5.  When is the bus
arriving?
6.  Where is the location
of the bus?
7.  How to prolong the
bus life?
8.  How many busses to
deploy on a route?
9.  How best to hire
drivers for the buses?
10. Why is the bus late?
11. Why is this bus has
high maintenance?
Smart Street Light Smart Public
Transportation
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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
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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
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)
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BENEFITS OF

SENSING-AS-A-SERVICE
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SENSING-AS-A-SERVICE
BENEFITS
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Harnessing the 





of the Application Developers
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Participatory Sensing - “Rapid deployment”
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Built-in Cloud Services – “Pay-per-Use” or
“Subscription-based”
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REUSE	
  
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Reduction of Data Acquisition Cost – “Sustainable Business
Model”
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Collect Data Previously Unavailable – “Assist scientific
community or survey activities”
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Getting Insights via Crowdsensing
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SMARTPHONE AS YOUR “SENSING ASSISTANT”
Sensors:
•  Camera – “Eyes”
•  Audio – “Ears”
•  Accelerometer –
“Speed”
•  GPS – “Location”
•  Gyroscope –
“Movement”
•  Compass – “Direction”
•  Proximity – “Closeness”
•  Ambient light – “Eyes”
•  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)
5.  Resource Availability – Storage / Memory / Computational / Battery
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NOISETUBE – POLLUTION DATA USING
SMARTPHONES
Citizens and Communities
concerned with noise
•  Measure your daily sound
exposure in dB(A) with your
mobile phone
•  Tag noisy sources to inform
the community about them
•  Visualize your measurements
on a map and contribute to
the creation of collective,
city-wide noise maps
•  Compare your experience
with that of others
Local governments / city
planners
•  Improved decision-making
•  Get immediate feedback
and opinions from citizens
•  Give immediate feedback to
citizens
Researchers
•  Get access to and analyze
(anonymized) collective
noise data
Developers
•  Extend mobile app in
whichever way you see fit
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The 150 Days
of My Life
Life-Logging
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EMAIL: mazlan.abbas@redtone.com TWITTER: mazlan_abbas
FACEBOOK: www.facebook.com/drmazlanabbas
LINKEDIN: my.linkedin.com/in/mazlan/
SLIDESHARE: www.slideshare.net/mazlan1 about.me/mazlan.abbas
THANK YOU
People wants to get connected too! Not only Things!

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Internet of Things - Building a Smarter World

  • 1. Copyright  ©  2015  RIOT.  All  rights  reserved   “Connected  Communi?es  and  Internet  of  Things:  Bringing  Value  Through  Visibility”,  10th  Dec.  2014,  Universi?  Malaya   Internet of Things (IoT) Building a Smarter World Dr. Mazlan Abbas CEO, REDtone IOT
  • 2. Copyright  ©  2015  RIOT.  All  rights  reserved   THE UNTAPPED OPPORTUNITY THE IOT MARKET
  • 3. Copyright  ©  2015  RIOT.  All  rights  reserved   BY 2020, HOW MANY DEVICES WILL EXIST? 2020 Gartner Cisco Intel IDC 212 Billion Units 200 Billion Units 50 Billion Units 26 Billion Units Source: [1] http://www.gartner.com/newsroom/id/2684616 [2] http://www.intel.com/content/www/us/en/internet-of-things/infographics/guide-to-iot.html [3] http://share.cisco.com/internet-of-things.html [4] http://www.zdnet.com/article/internet-of-things-8-9-trillion-market-in-2020-212-billion-connected-things/
  • 4. Copyright  ©  2015  RIOT.  All  rights  reserved   WHAT WILL BE THE IOT MARKET SIZE By 2020 - IDC By 2022 - Cisco Sources: [1] http://www.businesswire.com/news/home/20131003005687/en/Internet-Poised-Change-IDC#.VKZdfHTMUuc [2] http://postscapes.com/internet-of-things-market-size [3] Gartner Market Databook 2014 & Frost & Sullivan [4] National IOT Strategic Blueprint $14.4 Trillion $8.9 Trillion RMB 5-10 Trillion China Market RM 9.8 Billion Malaysia Market 14,720 Jobs New Jobs in Malaysia
  • 5. Copyright  ©  2015  RIOT.  All  rights  reserved   THE HISTORY OF INTERNET OF THINGS
  • 6. Copyright  ©  2015  RIOT.  All  rights  reserved  
  • 7. Copyright  ©  2015  RIOT.  All  rights  reserved  
  • 8. Copyright  ©  2015  RIOT.  All  rights  reserved  
  • 9. Copyright  ©  2015  RIOT.  All  rights  reserved   What is the condition of my goods. Who is a better and safer bus driver? How to reduce my electricity bill? When is my next train? Knowing our Assets – Typical Questions Where can I park? Why my items are not selling? THE NEED TO CONNECT ASSETS/OBJECTS/THINGS
 What IF we can connect ALL these assets and get the answers to ALL these questions?
  • 10. Copyright  ©  2015  RIOT.  All  rights  reserved   WHAT ARE SMART, CONNECTED PRODUCTS (THINGS)? Physical Components - comprise the product’s mechanical and electrical parts. Smart Components - amplify the capabilities and value of the physical components Connectivity Components - amplifies the capabilities and value of the smart components and enables some of them to exist outside the physical product itself.
  • 11. Copyright  ©  2015  RIOT.  All  rights  reserved   WHAT CAN SMART, CONNECTED THINGS DO? Monitoring Control Optimize Autonomy
  • 12. Copyright  ©  2015  RIOT.  All  rights  reserved   How value is created and captured? How the amount of new (and sensitive) data is utilized and managed? How relationships with traditional business partners such as channels are redefined? What roles companies should play as industry boundaries are expanded? IOT TRANSFORM OUR THINKING
  • 13. Copyright  ©  2015  RIOT.  All  rights  reserved   10/90 RULE – THE UNCONNECTED THINGS 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
  • 14. Copyright  ©  2015  RIOT.  All  rights  reserved   ConnectedWorld
  • 15. Copyright  ©  2015  RIOT.  All  rights  reserved   TheIOTEnablers
  • 16. Copyright  ©  2015  RIOT.  All  rights  reserved  
  • 17. Copyright  ©  2015  RIOT.  All  rights  reserved   2009 800,000 petabytes 2020 35 zettabytes as much Data and Content
 Over Coming Decade 44x 80% Of world’s data is unstructured
  • 18. Copyright  ©  2015  RIOT.  All  rights  reserved   SENSING-AS-A-SERVICE BUSINESS MODEL OUR HYPOTHESIS
  • 19. Copyright  ©  2015  RIOT.  All  rights  reserved  WHAT IF – we can create Compound Applications across industries?
  • 20. Copyright  ©  2015  RIOT.  All  rights  reserved  Data Fusion & Compound Applications Connect Aggregate Derive Actionable Insights
  • 21. Copyright  ©  2015  RIOT.  All  rights  reserved  IOT Platform Visualizations Analytics Applications Social Media Network With localized analytics With aggregated analytics Improved Performance Reduced Costs Create Innovative Products New Revenue Streams Sensors and Sensor Owners (Personal, Private, Public & Commercial) “Sensing-as-a-Service” by connecting, aggregating and deriving actionable insights”
  • 22. Copyright  ©  2015  RIOT.  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
  • 23. Copyright  ©  2015  RIOT.  All  rights  reserved   MAKING SENSE OF SENSOR DATA … BUT WHAT DATA? THE GOLD RUSH
  • 24. Copyright  ©  2015  RIOT.  All  rights  reserved   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
  • 25. Copyright  ©  2015  RIOT.  All  rights  reserved   Wisdom Evaluated understanding Understanding Appreciation of “why” Knowledge Answers to “how” questions Information Answers to “who”, “what”, “where” and “when” questions Data Symbols Empty (0), Full (1) V a l u e Who Benefits? – Determine the Stakeholders LET’S START WITH A BLANK TEMPLATE

  • 26. Copyright  ©  2015  RIOT.  All  rights  reserved   Wisdom Evaluated understanding NA Understanding Appreciation of “why” Why this parking area is not fully occupied? Knowledge Answers to “how” questions How to implement a tiered charging? How to find “overstayed” vehicles? Information Answers to “who”, “what”, “where” and “when” questions Who park at this lot? What kind of vehicle? Where is the empty parking lot? When is the peak period? Data Symbols Empty (0), Full (1) V a l u e Who Benefits? - Citizens / Parking Operators / City Council / Shops EXAMPLE – SMART PARKING
  • 27. Copyright  ©  2015  RIOT.  All  rights  reserved   IOT SOLVING SMART CITY ISSUES 1.  Who is using the car park? 2.  What is the status of the car park? 3.  When was the car park used? 4.  Where is the location of empty car park? 5.  How far is the car park? 6.  How much can we charge? 7.  How to optimize the car park? 8.  Why so many cars prefer a particular carp park? 9.  Why my car park revenue is down? 1.  Who is collecting the garbage? 2.  What is the status of garbage bin? 3.  When was the garbage collected? 4.  Where is the location of full bins? 5.  How to plan the route of the trucks? 6.  How many days till the next collection? 7.  How much garbage is produced in an area? 8.  Why is the garbage truck not picking up garbage? 9.  Why is a particular area producing more garbage? Smart Parking Smart Waste Management 1.  Who triggered the lights? 2.  What is the brightness of the light? 3.  When were the lights switched on? 4.  Where is the location of faulty light? 5.  How bright should the lights be? 6.  How long should the lights be on? 7.  How busy is the road? 8.  Why is the cost of maintenance high? 1.  Who is driving the bus? 2.  What is the occupancy? 3.  What is the bus condition? 4.  What is the driving pattern? 5.  When is the bus arriving? 6.  Where is the location of the bus? 7.  How to prolong the bus life? 8.  How many busses to deploy on a route? 9.  How best to hire drivers for the buses? 10. Why is the bus late? 11. Why is this bus has high maintenance? Smart Street Light Smart Public Transportation
  • 28. Copyright  ©  2015  RIOT.  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
  • 29. Copyright  ©  2015  RIOT.  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 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)
  • 30. Copyright  ©  2015  RIOT.  All  rights  reserved   BENEFITS OF
 SENSING-AS-A-SERVICE
  • 31. Copyright  ©  2015  RIOT.  All  rights  reserved   SENSING-AS-A-SERVICE BENEFITS
  • 32. Copyright  ©  2015  RIOT.  All  rights  reserved   Harnessing the of the Application Developers
  • 33. Copyright  ©  2015  RIOT.  All  rights  reserved   Participatory Sensing - “Rapid deployment”
  • 34. Copyright  ©  2015  RIOT.  All  rights  reserved   Built-in Cloud Services – “Pay-per-Use” or “Subscription-based”
  • 35. Copyright  ©  2015  RIOT.  All  rights  reserved   REUSE  
  • 36. Copyright  ©  2015  RIOT.  All  rights  reserved   Reduction of Data Acquisition Cost – “Sustainable Business Model”
  • 37. Copyright  ©  2015  RIOT.  All  rights  reserved   Collect Data Previously Unavailable – “Assist scientific community or survey activities”
  • 38. Copyright  ©  2015  RIOT.  All  rights  reserved   Getting Insights via Crowdsensing
  • 39. Copyright  ©  2015  RIOT.  All  rights  reserved   SMARTPHONE AS YOUR “SENSING ASSISTANT” Sensors: •  Camera – “Eyes” •  Audio – “Ears” •  Accelerometer – “Speed” •  GPS – “Location” •  Gyroscope – “Movement” •  Compass – “Direction” •  Proximity – “Closeness” •  Ambient light – “Eyes” •  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) 5.  Resource Availability – Storage / Memory / Computational / Battery
  • 40. Copyright  ©  2015  RIOT.  All  rights  reserved   NOISETUBE – POLLUTION DATA USING SMARTPHONES Citizens and Communities concerned with noise •  Measure your daily sound exposure in dB(A) with your mobile phone •  Tag noisy sources to inform the community about them •  Visualize your measurements on a map and contribute to the creation of collective, city-wide noise maps •  Compare your experience with that of others Local governments / city planners •  Improved decision-making •  Get immediate feedback and opinions from citizens •  Give immediate feedback to citizens Researchers •  Get access to and analyze (anonymized) collective noise data Developers •  Extend mobile app in whichever way you see fit
  • 41. Copyright  ©  2015  RIOT.  All  rights  reserved   The 150 Days of My Life Life-Logging
  • 42. Copyright  ©  2015  RIOT.  All  rights  reserved  
  • 43. Copyright  ©  2015  RIOT.  All  rights  reserved  
  • 44. Copyright  ©  2015  RIOT.  All  rights  reserved   EMAIL: mazlan.abbas@redtone.com TWITTER: mazlan_abbas FACEBOOK: www.facebook.com/drmazlanabbas LINKEDIN: my.linkedin.com/in/mazlan/ SLIDESHARE: www.slideshare.net/mazlan1 about.me/mazlan.abbas THANK YOU People wants to get connected too! Not only Things!