UM-MCMC Connected Communities and Internet of Things (IoT): Building Value through Visibility at Universiti Malaya (UM) Wednesday, December 10, 2014 from 8:00 AM to 4:00 PM (MYT) Kuala Lumpur, Malaysia

1. "Sensing-as-a-Service"
- An IOT Service Provider's Perspectives -
Dr. Mazlan Abbas
CEO, REDtone IOT
“Connected
Communi-es
and
Internet
of
Things:
Bringing
Value
Through
Visibility”,
10th
Dec.
2014,
Universi-
Malaya

2. Agenda
• Change is Inevitable Because The World is Getting Smarter
• Why We Need Smarter Things?
• Monetizing the Data – The New Source of Revenue Growth
• Sensing-as-a-Service – The New Business Model
• The Importance of an IoT Eco-System
• Summary

3. More Connected Devices Than People
6.3 Billion
6.8 Billion
7.2 Billion
7.6 Billion
500 Million
12.5 Billion
25 Billion
50 Billion
World
Population
Connected
Devices
Connected
Devices
Per Person
0.08
1.84
3.47
6.58
2003
2010
2015
2020
More
connected
devices than
people
[Source: Cisco IBSG, April 2011]

4. Building a Smarter World
Increased Value
Disrupting Value Chains
Co-opetition
Expanded Boundaries

5. IOT Poses A New Set of Strategic Choices
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?

6. The Need to Connect Assets/Objects/Things
Knowing our Assets – Typical Questions
What
condition is
my goods.
Who is a
better and
safer bus
driver?
How reduce
my electricity
bill?
Where can I
park?
When is my
next train?
Why my
items are not
selling?
What IF we can connect ALL these assets and get the answers to ALL these questions?

7. 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.

8. What Can Smart, Connected Things Do?
Monitoring
Control
Op-mize
Autonomy

9. Capabilities of Smart & Connected Things
• The product’s condition
• The external environment
• The product’s operations and usage
Monitoring
Control• Control of product functions
• Personalization of the user experience
Optimization• Enhance product performance
• Allow predictive diagnostics, service and repair
• Autonomous product operation
• Self-coordination operation with other products
• Autonomous product enhancement and personalization
• Self-diagnosis and service
Autonomous

11. 44x
2009
800,000 petabytes
2020
as much Data and Content 35 zettabytes
Over Coming Decade
80% Of world’s data
is unstructured

12. Monetizing the Sensor Data
New Source of Revenue Growth

13. Wisdom
Knowledge
Information
Data
More
Important
Less
Important
Evaluated understanding
Appreciation of
Answers to questions.
Symbols
Understanding
Answers to
questions
Value is Created By Making Sense of Data
WHO
WHY
HOW
WHAT
WHERE
WHEN

14. Let’s Start with a Blank Template
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)
Value
Who Benefits? – Determine the Stakeholders

15. Example – Smart Parking
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 peak period?
Data
Symbols
Empty (0), Full (1)
Value
Who Benefits? - Citizens / Parking Operators / City Council / Shops

16. Example – Hajj & Umrah
Wisdom
Evaluated understanding
NA
Understanding
Appreciation of “why”
Why people have problems finding
their residence?
Why can’t Pilgrims reach on time?
Knowledge
Answers to “how” questions
How to make the transport more
efficient?
How to find the missing Pilgrims?
How to move Pilgrims faster?
Information
Answers to “who”, “what”, “where”
and “when” questions
Who is missing?
What happen to the transport?
Where is the pilgrim?
Where is the exit door?
When is peak period?
Data
Symbols
ID (0), Residence (1), Transport (2),
Location (3)
Value
Who Benefits? – Pilgrims, Pilgrim Operators, Mosques, Macca, Medina, etc

17. Smart Cities
1. Smart Parking
2. Structural Health
3. Noise Urban Maps
4. Traffic Congestion
5. Smart Lighting
6. Waste Management
7. Intelligent Transportation
Systems
IOT Applications
Smart Environment
8. Forest Fire Detection
9. Air Pollution
10. Landslide and Avalanche
Prevention
11. Earthquake Early Detection
Smart Meter
12. Water Quality
13. Water Leakages
14. River Floods
Smart Metering
15. Smart Grid
16. Tank Level
17. Photovoltaic Installations
18. Water Flow
19. Silos Stock Calculation
Security & Emergencies
20. Perimeter Access Central
21. Liquid Presence
22. Radiation Levels
23. Explosive and Hazardous
gases
Retail
24. Supply Chain Control
25. NFC Payment
26. Intelligent Shopping
Application
27. Smart Product Management
Logistics
28. Quality of Shipment
Conditions
29. Item Location
30. Storage Incompatibility
Detection
31. Fleet Tracking
Industrial Control
32. M2M Applications
33. Indoor Air Quality
34. Temperature Monitoring
35. Ozone Presence
36. Indoor Location
37. Vehicle Auto-diagnosis
Smart Agriculture
38. Wine Quality Enhancing
39. Green Houses
40. Golf Courses
41. Meteorological Station
Network
42. Compost
eHealth
50. Fall detection
51. Medical Fridges
52. Sportsmen Care
53. Patients Surveillance
54. Ultraviolet Radiation
Domotic & Home
Automation
46. Energy and Water Use
47. Remote Control
Appliances
48. Intrusion Detection
Systems
49. Art and Goods
Preservation
Smart Animal Farming
43. Offspring Care
44. Animal Tracking
45. Toxic Gas Levels
[Reference: http://www.libelium.com/top_50_iot_sensor_applications_ranking ]
IOT
Ecosystem
Sensors
Networks
Cloud
Analy-cs
Applica-ons

18. WHAT IF – we can create Compound Applications across industries?

19. Compound Applications

20. The New Meaning for “SaaS”
SENSING-AS-A-SERVICE

21. Sensor Classification Scheme Based on Ownership
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
PrivatePublic
[Source: “Sensing as a Service Model for Smart Cities Supported by Internet of Things”, Charith Perera et. al., Transactions on Emerging Telecommunications
Technology, 2014]

22. iot!
Connect &
Aggregate! Quantify! Transform!
IOT Platform &
Cloud
Actionable
Insights
Business Process
Integration
Improved
Performance
Reduced Costs
Create Innovative
Products
New Revenue
Streams

23. IOT Technology Stack
PRODUCT CLOUD
Smart IOT Applications
Rules/Analytics Engine
Application Platform
Product Data Database
CONNECTIVITY
Network Communication
Product Software
Product Hardware
Identity and
Security
External
Information
Sources
Integration
with
Business
Systems
PRODUCT
[Reference: How Smart, Connected Products Are Transforming Competition, Harvard Business Review, Nov. 2014]

24. Sensing-as-a-Service : The New IOT Business Model
Sensors and Sensor Owners
(Personal, Private, Public &
Commercial)
IOT Applications / Developers
With localized analytics
With aggregated analytics
IOT Example Apps:
Smart city
Smart environment
Security
Smart Metering
Smart Agriculture
IOT Middleware
Customers & Decision Makers
iot!
(With Computation, Storage and Analytics)
Corporations
Government
Citizens

25. Commercial IOT sensors on lamp posts across the city.
(Example)
Gathering temperature, light, pressure, humidity and pollution.
One scenario could be as such:
• The city would pay for access to the light
sensors in order to decide when to turn on and
off the street lights
• 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

26. Sensing-as-a-Service – Smart Environment
Commercial Data Sensor
Owners
With localized analytics
iot!
With aggregated analytics
City
University
Weather Department
1. Temperature
2. Light
3. Pressure
4. Humidity
5. Pollution.
Lighting
Pollution
Temperature
Humidity
Pressure
Street Town Council

27. Benefits of
SENSING-AS-A-SERVICE

28. Harnessing the
of the Application Developers

29. Participatory Sensing - “Rapid deployment”

30. Built-in Cloud Services – “Pay-per-Use” or
“Subscription-based”

31. REUSE

32. Reduction of Data Acquisition Cost – “Sustainable Business
Model”

33. Collect Data Previously Unavailable – “Assist scientific
community or survey activities”

34. Getting Insights via Crowdsensing

35. 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

36. NoiseTube – Crowdsourcing of Pollution Data Using
Smartphones. What Motivates?
• 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
• Improve decision-making by understanding local and
global noise pollution in your city using maps and
statistics
• Get immediate feedback and opinions from citizens
• Give immediate feedback to citizens
• Researchers
• Get access to and analyze (anonymized) collective
noise data
• Find out what is important in soundscape perception
• Developers
• Extend our mobile app in whichever way you see fit
• Use our environmental sensor web API to do your
own web mashups

37. CrowdMag
1. Combining it with magnetic data from other sources, we hope to create near-real-time
models of Earth's time changing magnetic field to aid navigation.
2. Mapping static magnetic noise sources (for e.g. power transformer and iron pipes)
could potentially improve accuracy of the magnetic navigation systems.

38. Life-Logging
The 150 Days
of My Life

41. FROM
SMART
PARKING
TO
SMART
CITY

42. 30% of all traffic in the average city center is
searching for an available parking spot.
Reduce the motorist
frustration.
Real time and reliable.
Authorized use of
parking.
Locate cars that have
overstayed
Efficient surveillance
routes .
Optimize parking
utilization.
NOTE: According to Navigant Research,
Cities are losing up to 40% of possible parking revenue
through inefficiencies. With smart parking, these
inefficiencies are significantly reduced to provide an
estimated a 20 – 30% increase in parking revenue.*

43. Environmental
Monitoring
2000 Sensors
Santander
Testbed
Outdoor Parking
Management
400 parking sensors
Mobile
Environmental
Monitoring
150 sensors installed in
public vehicles
Traffic Intensity
Monitoring
60 devices located at
main entrance of city
• Moisture temperature
• Humidity
• Pluviometer (rain gauge)
• Anemometer (wind-speed)
Parks and Gardens
Irrigation
50 devices in 2 green zones
Guidance to free
parking lots
10 panels located at
intersections
• 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
SMART
CITY

44. Crea-ng
an
IOT
Eco-­‐System
for
Malaysia
(Smart
City)
Why Smart City?
1. Due to scale and heterogeneity of
the environment
2. Ideal ground for enabling a broad
range of very different experiments
3. A huge number of challenging
requirements
4. A variety of problem and application
domains
5. Allows evaluation of social
acceptance of IoT technologies and
services via real world pilots
6. An excellent catalyst for IoT
research!
Application
Developers
IOT
Cloud
Device
Players
Universities
Researchers
Stakeholders
REDtone
In
Search
of
The
Right
Partners

45. Summary
1. No longer an infrastructure game alone
– Software and Apps
2. IoT Adoption - Technology might not be the
stumbling block
– Finding the Right Business Models
3. Internet of Things (IoT) is NOT a single player
game
– Ecosystem is important!

46. THANK YOU
People wants to get connected too! Not only Things!
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