tsensorsummit-emerging iot usages & apps for trillion+ sensors-bhide-oct25-2013-stanford

Sandhiprakash Bhide – Intel Corporation, TSENSOR SUMMIT, Trillion Sensors Summit, Tokyo Japan 2014

Emerging IOT Usages & Apps for Trillion+ Sensors Sandhiprakash Bhide, Strategist and Technologist, Intel Corporation

Trillion Sensors Summit Stanford University, Palo Alto, CA

October 25, 2013


Slide 2

“We are at an inflection point in the history of Data

and Computing. For the last 66 years since ENIAC,

Data has always come to Computing. Not so going

into the future. In the future, Compute will have to go

where Data is. The future is about scaling and about

distributed Intelligence.

We neither have enough wireless bandwidth and

spectrum to push data up from 50B Devices and 1

Trillion+ Sensors nor does it make economic sense to

send senseless bits up the channel”

- Sandhiprakash Bhide


Slide 3

Grand Challenges for Engineering in 21st

Century

Make Solar Energy Economical

Provide Nuclear Fusion Energy

Develop Carbon Sequestration Method

Manage the Nitrogen Cycle

Provide access to Clean Water

Reverse Engineer the Brain

Advance Health Informatics

Engineer better Medicines

Engineer the Tools of Scientific Discovery

Restore/Improve Urban Infrastructure

Advance Virtual Reality

Advance Personalized Learning

Prevent Nuclear Terror

Secure Cyberspace/Internet

Invest in Biotech/ Stem Cell Research

50B

Devices

50B Devices 1T Sensors

+

50B Devices and 1T+ sensors can help address these challenges


Slide 4

Clarifying Definitions: Embedded,

Machine to Machine (M2M), and Internet

of Things (IOT*)

*Alternate names for IOT = Web 3.0, Intelligent Systems, Sensor Networks, Internet of Everything, Web of Things, Ubiquitous or Ambient Computing

IOT IOT

System of systems working together connected via Internet driving combinatorial analytics


IOT


M2M M2M

Intelligent/flexible wireless or wired systems interconnected with each other for a specific app e.g. parking


M2M


Embedded Embedded

Computer system with a dedicated function within a larger system, often with real-time constraints


Embedded



Slide 5

Definition Clarification

Usage = How the system or product is utilized by

the end-user for a particular purpose or need

App: program or group of programs designed for

end users

Multi-vitamin Tylenol

Usages Technologies


Slide 6

IOT Usages & Apps: Story of OC44

Transistor


Slide 7

Types of IOT Usages

Planet

• Global Warming • Earthquakes • Health Epidemics • Green House

gases • Glacier

Monitoring • Ocean Health • Nuclear Threat

Monitoring

Work/Industry

On-the-go

• Global Warming • Earthquakes • Health Epidemics • Ecology • Infrastructure Health • Ozone Monitor • Forest Fires • Air Pollution • River Mgmt. • Smart Grid Mgmt. • Govt. Bldg. Security • Fleet Management • Healthcare Mgmt. • Actuator Mgmt.

Nation

• Micro-climate • Parking • Transportation • Air Pollution • Noise Pollution • Traffic Mgmt. • Waste Mgmt. • Water Mgmt. • Industrial Control • Vehicles Mgmt. • Healthcare

City/ Neighborhood

Family/Home

• Refrigerators • Ovens • HVAC • Water • Electricity • Health • Utilities Usage • Appliance Mgmt. • Home Security • Home Monitoring • Patient Monitoring • Smartphones

Personal Management

• Coffee maker • Alarm Clock • Electric Toothbrush • Smart Scale • Automobiles • Calendar Mgmt. • Transportation


Slide 8

Personal Usages

Calendar

Phone

IO

T

Car

Alarm

Traffic

Toothbrush

Scale

Coffee-maker


Slide 9

Home and Family Usages

Home Security

IO

T

Weather Monitor

Patient

Monitor

HVAC

Baffles

Home Utilities Monitor

Phones

Oven/Range Refrigerator

G E W

D

W Electricity Water Gas Window Door


Slide 10

City Usages

Phones

Crowd source

IO

T

Traffic Monitor

Usage Scenarios • Modes of Transportation

• Macro-climate condition

• Traffic Routing

• Bus Route Optimization

• Garbage Collection

• Noise/traffic levels near Hospitals

• Evaluation route Management

• Monitoring of criminals

Parking

Waste Systems

Seismic

Monitor

Noise Monitor Transportation

Air Pollution


Slide 11

National Level Usage

Forest Fire

Global Warming

IO

T

Smart Grid

Sensors

Usage Scenarios • Health monitoring at Airport Entry

• Citizen safety: O3, rain fall, fires

• Electricity usage

• Infrastructure Monitoring

• Monitoring rainfall, river flows,

icecap melts, volcanic activity,

forest fires

• Cross-agency cooperation

River Flow

Monitor

Infrastructure

Health

Ozone

Cyber/Govt. Security

Health

Epidemics


Slide 12

Planet Level Usages

Asteroid

IO

T

Ocean

Health

Usage Scenarios • Prediction of storms,

hurricanes,…

• Health Epidemics

• Nuclear tests and proliferation

• Monitoring magnetic storms

• Measurement of UV radiation

Sustainable

Environments

Greenhouse

gases

Glaciers

Tsunami

Nuclear Control

Smart Health


Slide 13

Drivers for the Growth of IOT Apps

• Connected Device Growth

• Real Time Data Growth (Sensors)

• Growth of Verticals

• Intra-vertical Traffic (M2M IOT)

• Larger Storage

• Larger Investments in Data networks +

Technology


Slide 14

Where is growth of IOT App come from?

1. Data Manipulation

2. Security, Privacy, and Identity Protection

3. Management of IOT Devices

4. Actuator Control

5. Trend Development (Temporal Analysis)

6. New IOT Verticals

7. Integration of Verticals

8. Consumer Apps/Service

9. Analytics

Critical item across the board: Analytics


Slide 15

List of Applications is endless

• Smart parking

• Infrastructure Health

• Noise Pollution Control

• Crowdsourcing information

for Smartphones

• Detecting pollution levels

• Waste management

• Smart Urban Planning

• Sustainable Urban

Environment

• Smart Medication

• Aging Population

• Continuous Care

• Emergency

• Intelligent Commuting

• Smart Product Management

• Smart Meters and Metering

• Home Automation

• Management of renewable

energy

• Smart Farming

• Smart Animal Farming

• Handling Emergency

• Health care

• Smart Events

• Health and Beauty Choices

• Smart Food and Drink

Choices

• Logistics

• Intelligent Shopping


Slide 16

Apps Hierarchy in the IOT Continuum

Sensors Data

Information

Knowledge

Wisdom

X, Y, Z coordinates from a GPS

John goes to Starbucks three/week

Starbucks Near the

Hotel in NY

There is Starbucks at this location

Nod

e

Edg

e

Backen

d/C

lou

d

E2E

Security

Privacy,

Identity

Safety

Analytics


Slide 17

Sensor Data to Information

Accelerometer, Audio, Video, Vibration, Seismic, Environmental, Health,

CO2, O3, HC

Std. Dev., Mean, Max, Min, GSR/HR* Features, Color,

BW, Dynamic Range, Angle, Contours

Decision Tree, GMM*, kernel Machine, Bayesian Net,

Sparse Bundle Adjustment

Running, Sitting, Walking, Stressed, Relaxed, Startled,

Worried, Chatting, Commuting

Nod

e/S

ecuri

ty

Raw Sensor Data

Feature Extraction

Classification

Inference

Sensors Data

Information

Knowledge

Wisdom

*GMM: Gaussian Mixture Model, HR: Heart Rate, GSR: Galvanic Skin Response


Slide 18

From Information to Knowledge

Sensors Data

Information

Knowledge

Wisdom

Edg

e

Operating System Connectivity Software

Complex Inferencing Engine including Contextual and Temporal Analytics and

Predictive software

Data Storage Dat Filtering Algorithms

Security, Privacy, Identity, and Safety

M2M Focus



Slide 19

From Knowledge to Wisdom

Sensors Data

Information

Knowledge

Wisdom

Operating System Connectivity Software

Highly Complex, combinatorial Analytics

Large Mirrored Data Storage and systems

Data Filtering Algorithms

Security, Privacy, Identity, and Safety

Ba

cke

nd

/Clo

ud

IOT (system of systems)



Slide 20

Conclusion

• IOT App opportunity space is humongous

(100M?)

• The amount of data generated from 50B devices

and 1T+ sensors will be massive

• The data must be reduced to information at the

generation node to reduce large data overload

• The IOT technologies and apps must address

IOT usages and deliver expected User

Experience

• Security, Privacy, and Identity need to be

designed in from day 1


Slide 21

Thank you

tsensorsummit-emerging iot usages & apps for trillion+ sensors-bhide-oct25-2013-stanford

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