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Copyright©RIOT2015AllRightsReserved
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
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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
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[Source: http://postscapes.com/what-exactly-is-the-internet-of-things-infographic ]
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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 Disconnected Connected World
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FUTURE OF COMMUNICATIONS AND PRODUCTIVITY
BRING IOT TO THE NEXT LEVEL
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Improved Performance
Reduced Costs
Create Innovative Products
New Revenue Streams
Monitor
Autonomous
Optimize
Control
BUSINESS OPPORTUNITIES Capabilities Benefits
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Security and Privacy of data
Managing vast amounts of data
Fragmented industry
Finding the right business model
WHAT ARE THE BUSINESS CHALLENGES
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LEGACY BUSINESS IS STILL CONNECTIVITY
M2M HIGH VOLUME LOW ARPU
SIM-CARD BASED
OLD HABITS DIE HARD
LESS COMPLEX
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LACK OF DOMAIN EXPERTISE
THINK BEYOND CONNECTIVITY
SOLUTIONS, SELLING AND MANAGED SERVICES
NEED GO-TO-MARKET PARTNER
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MINDSET BLOCK
FULL OF SKEPTISM
LOW SINGLE DIGIT GROWTH CONTRIBUTION
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STABLE BUSINESS VS. RISKY VENTURES
NEED TO WORK LIKE STARTUP
IOT BUSINESS IS FLUID
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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
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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
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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
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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
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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
Copyright©RIOT2015AllRightsReserved
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
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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
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1 2
3 4
5
Ho
w t
o E
volv
e t
o a
En
d-
to-E
nd
IOT
Serv
ice
Pr
ovi
de
r
6
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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)
Value
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)
Value
Who Benefits? - Citizens / Parking Operators / City Council / Shops
EXAMPLE – SMART PARKING
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Home Health Transport Office Waste
CONNECTING AND AGGREGATING
Data Fusion & Compound Applications
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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
Public Private
[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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“Makers, startups and crowdsourcing efforts result in high numbers of low-revenue niche IoT applications.”
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WHERE ARE IOT DEVELOPERS?
[Source: http://arc.applause.com/2015/07/27/internet-of-things-big-data-and-analytics/]
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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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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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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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URBAN PLANNING USING IOT
Traffic
Pollution
Noise
Environment
Network Coverage
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MOBILE APPLICATION LIVABILITY LOCAL AREA
SERVICES PUBLIC SAFETY NATURAL DISASTER
Open Data Smartphone Users Social Media
Sensor Data
Users
PORTAL CITISENSE.COM CASE MANAGEMENT
SYSTEM
DASHBOARD
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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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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?
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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
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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.
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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?
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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
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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
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“If you want something new, you have to stop doing something old”
- Peter F. Drucker
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