"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  

•  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

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

Building a Smarter World

Increased Value Disrupting Value Chains Co-opetition Expanded Boundaries

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

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?

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.

What Can Smart, Connected Things Do?

Monitoring   Control   Op-mize   Autonomy  

• 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

2009 800,000 petabytes

2020 35 zettabytes as much Data and Content

Over Coming Decade

44x 80% Of world’s data

is unstructured

Monetizing the Sensor Data New Source of Revenue Growth

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

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

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

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

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

WHAT IF – we can create Compound Applications across industries?

Compound Applications

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

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]

iot!Connect & Aggregate! Quantify! Transform!

IOT Platform & Cloud

Actionable Insights

Business Process Integration

Improved Performance

Reduced Costs

Create Innovative Products

New Revenue Streams

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]

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

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.

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

Benefits ofSENSING-AS-A-SERVICE

Harnessing the

of the Application Developers

Participatory Sensing - “Rapid deployment”

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

REUSE  

Reduction of Data Acquisition Cost – “Sustainable Business Model”

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

Getting Insights via Crowdsensing

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 – 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

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

The 150 Days of My Life

Life-Logging

FROM  SMART  PARKING  TO  SMART  CITY  

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.*

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

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  

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  

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!