Sensing-as-a-Service - An IoT Service Provider's Perspectives
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"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
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• 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
Agenda
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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]
More Connected Devices Than People
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Building a Smarter World
Increased Value Disrupting Value Chains Co-opetition Expanded Boundaries
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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 Poses A New Set of Strategic Choices
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What condition is my goods.
Who is a better and safer bus driver?
How reduce my electricity
bill?
When is my next train?
The Need to Connect Assets/Objects/Things Knowing our Assets – Typical Questions
What IF we can connect ALL these assets and get the answers to ALL these questions?
Where can I park?
Why my items are not
selling?
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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 Op-mize Autonomy
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• The product’s condition • The external environment • The product’s operations and usage Monitoring
• Control of product functions • Personalization of the user experience Control
• Enhance product performance • Allow predictive diagnostics, service and repair Optimization • Autonomous product operation • Self-coordination operation with other products • Autonomous product enhancement and personalization • Self-diagnosis and service
Autonomous
Capabilities of Smart & Connected Things
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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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Monetizing the Sensor Data New Source of Revenue Growth
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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
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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 peak period?
Data Symbols Empty (0), Full (1)
Value
Who Benefits? - Citizens / Parking Operators / City Council / Shops
Example – Smart Parking
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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
Example – Hajj & Umrah
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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
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
Security & Emergencies 20. Perimeter Access Central 21. Liquid Presence 22. Radiation Levels 23. Explosive and Hazardous
gases
Smart Metering 15. Smart Grid 16. Tank Level 17. Photovoltaic Installations 18. Water Flow 19. Silos Stock Calculation
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
Smart Animal Farming 43. Offspring Care 44. Animal Tracking 45. Toxic Gas Levels
Domotic & Home Automation 46. Energy and Water Use 47. Remote Control
Appliances 48. Intrusion Detection
Systems 49. Art and Goods
Preservation
eHealth 50. Fall detection 51. Medical Fridges 52. Sportsmen Care 53. Patients Surveillance 54. Ultraviolet Radiation
[Reference: http://www.libelium.com/top_50_iot_sensor_applications_ranking ]
IOT Ecosystem Sensors
Networks
Cloud
Analy-cs
Applica-ons
IOT Applications
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WHAT IF – we can create Compound Applications across industries?
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Compound Applications
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The New Meaning for “SaaS”SENSING-AS-A-SERVICE
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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
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]
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iot!Connect & Aggregate! Quantify! Transform!
IOT Platform & Cloud
Actionable Insights
Business Process Integration
Improved Performance
Reduced Costs
Create Innovative Products
New Revenue Streams
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Smart IOT Applications
Rules/Analytics Engine
Application Platform
Product Data Database
Network Communication
Product Software
Product Hardware
Identity and Security
External Information Sources
Integration with Business Systems
PRODUCT
CONNECTIVITY
PRODUCT CLOUD
IOT Technology Stack
[Reference: How Smart, Connected Products Are Transforming Competition, Harvard Business Review, Nov. 2014]
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Sensors and Sensor Owners (Personal, Private, Public & Commercial)
With localized analytics With aggregated analytics IOT Example Apps: Smart city Smart environment Security Smart Metering Smart Agriculture
Sensing-as-a-Service : The New IOT Business Model
IOT Middleware
Customers & Decision Makers
iot!(With Computation, Storage and Analytics)
IOT Applications / Developers
Corporations
Government
Citizens
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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
Commercial IOT sensors on lamp posts across the city. (Example)
Gathering temperature, light, pressure, humidity and pollution.
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Commercial Data Sensor Owners
With localized analytics With aggregated analytics
Sensing-as-a-Service – Smart Environment
iot!
City
University
Weather Department 1. Temperature 2. Light 3. Pressure 4. Humidity 5. Pollution.
Lighting
Pollution
Temperature
Humidity
Pressure Street Town Council
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Benefits ofSENSING-AS-A-SERVICE
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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 – 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
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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.
CrowdMag
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The 150 Days of My Life
Life-Logging
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FROM SMART PARKING TO SMART CITY
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Reduce the motorist frustration.
Real time and reliable.
Authorized use of parking.
Efficient surveillance routes .
Optimize parking utilization.
Locate cars that have overstayed
30% of all traffic in the average city center is searching for an available parking spot.
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.*
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Santander Testbed
Environmental Monitoring
2000 Sensors
Outdoor Parking Management400 parking sensors
Mobile Environmental
Monitoring150 sensors installed in
public vehicles
Traffic Intensity Monitoring
60 devices located at main entrance of city
Guidance to free parking lots
10 panels located at intersections
Parks and Gardens Irrigation
50 devices in 2 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)
SMARTCITY
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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!
IOT Cloud
Application Developers
Device Players
Universities Researchers
Stakeholders
REDtone In Search of The Right Partners
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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!
Summary
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EMAIL: [email protected] 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!