Internet of Things - Connecting and Aggregating the Innovative Minds

Copyright © RIOT 2015 All Rights Reserved
INTERNET OF THINGS
CONNECTING AND AGGREGATING THE INNOVATIVE MINDS
Dr. Mazlan Abbas, CEO - REDtone IOT Sdn Bhd
International Conference on Electrical and Electronic Engineering 2015 (IC3E 2015) 10-11 August, 2015, Malacca

CONNECTING AND AGGREGATING INNOVATIVE
MINDS
•  Introduction - Internet of
Things and its Business
Opportunities
•  Why Telcos Have Difficulty in
Embracing IoT
•  Making Sense of Data
•  Encourage Adoption and
Innovation of IoT
•  Challenging the Innovative
Minds
•  Summary

HOW IS IT DIFFERENT FROM
M2M? 

THE CURRENT ERA OF IOT

[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

FUTURE OF COMMUNICATIONS
AND PRODUCTIVITY 

BRING IOT TO THE NEXT LEVEL

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

Security and Privacy of
data
Managing vast
amounts of data
Fragmented industry
Finding the right
business model
WHAT ARE THE BUSINESS CHALLENGES

WHY TELCOS HAVE DIFFICULTY
TO EMBRACE IOT
4 REASONS

LEGACY BUSINESS IS STILL CONNECTIVITY
M2M HIGH VOLUME LOW ARPU
SIM-CARD BASED
OLD HABITS DIE HARD
LESS COMPLEX

LACK OF DOMAIN EXPERTISE
THINK BEYOND CONNECTIVITY
SOLUTIONS, SELLING
AND MANAGED SERVICES
NEED GO-TO-MARKET PARTNER

MINDSET BLOCK
FULL OF SKEPTISM
LOW SINGLE DIGIT GROWTH
CONTRIBUTION

STABLE BUSINESS VS. RISKY VENTURES
NEED TO WORK
LIKE STARTUP
IOT BUSINESS IS FLUID

END-TO-END IOT SERVICE
PROVIDER
THE END GAME

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

CONNECTIVITY PLAYER
PHASE-1

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
Platform
1

IOT ENABLER PLAYER
PHASE-2

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
2

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

IOT SOLUTIONS PLAYER
PHASE-3

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
4

IOT SERVICE PROVIDER
PHASE-4

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
5

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 -HYBRID
Device
Provider
Network
Provider
Platform
Provider
Application
Provider
Customer
Network
Platform
6

1 2
3 4
5
HowtoEvolvetoaEnd-
to-EndIOTService
Provider
6

MAKING SENSE OF SENSOR
DATA … BUT WHAT 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 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

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

Home Health Transport OfficeWaste
CONNECTING AND AGGREGATING
Data Fusion & 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

ENCOURAGE ADOPTION AND
INNOVATION OF IOT 

HOW-TO

“Makers, startups and crowdsourcing efforts result in
high numbers of low-revenue niche IoT applications.”

WHERE ARE IOT DEVELOPERS?
[Source: http://arc.applause.com/2015/07/27/internet-of-things-big-data-and-analytics/]

SENSING-AS-A-SERVICE
BENEFITS

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

of the Application Developers

Participatory Sensing - “Rapid deployment”

Reduction of Data Acquisition Cost – “Sustainable
Business Model”

Different Business Models

IOT Cloud Services – “Pay-per-Use” or
“Subscription-based”

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

CROWDSENSING
GETTING INSIGHTS FROM

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

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

URBAN PLANNING USING IOT
Traffic
Pollution
Noise
Environment
Network Coverage

MOBILE
APPLICATION
LIVABILITY LOCAL AREA
SERVICES
PUBLIC SAFETY NATURAL DISASTER
Open Data Smartphone UsersSocial Media
Sensor Data
Users
PORTAL
CITISENSE.COM CASE MANAGEMENT
SYSTEM
DASHBOARD

SMART CITY DATA FUSION

INTELLIGENCE 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
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)

[Source: http://inrix.com]

CHALLENGES
CALL FOR

CHALLENGE #1
FLOOD MONITORING

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?

FLOOD – DIFFERENT SENSORS
1.  Water level and weather sensors
2.  Tide monitoring sensor
3.  Astronomical data
4.  GPS for rescue vehicles (Plug-n-Play OBD)
5.  GIS data
6.  Camera
7.  Social network integration

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.

CHALLENGE #2
RIVER MONITORING

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?

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

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

“If you want something new, you have
to stop doing something old”
- Peter F. Drucker

THANK YOU
@REDtoneIOTREDtoneIOT

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