TSensorSummit-Emerging IOT Usages & Apps for Trillion+ Sensors-Sandhi...

8/17/2019 TSensorSummit-Emerging IOT Usages & Apps for Trillion+ Sensors-Sandhi Bhide-Tokyo-Japan-Feb20-21,2014

http://slidepdf.com/reader/full/tsensorsummit-emerging-iot-usages-apps-for-trillion-sensors-sandhi-bhide-tokyo-japan-feb20-212014 1/21

Slide 1

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

Emerging IOT Usages & Apps for Trill ion+ SensorsSandhiprakash Bhide, Strategist and Technologist, Intel Corporation

Trillion Sensors Summit Japan 2014

February 20-21, 2014, Tokyo Japan



Slide 2

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

Slide 2

“We are at an inflection point in the history of Data andComputing. 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 whereData is. The future is about scaling and about

distributed Intelligence.

We neither have enough wireless bandwidth andspectrum to push data up from 50B Devices and 1

Trillion+ Sensors nor does it make economic sense tosend senseless bits up the channel”

- Sandhiprakash Bhide



Slide 3


Slide 3

Grand Challenges for Engineering in 21st Century

Make Solar EnergyEconomical Provide NuclearFusion Energy Develop CarbonSequestration Method Manage theNitrogen Cycle Provide access toClean Water

Reverse Engineerthe Brain

Advance HealthInformatics

Engineer betterMedicines

Engineer the Tools ofScientific Discovery

Restore/ImproveUrban Infrastructure

Advance VirtualReality

Advance PersonalizedLearning

Prevent NuclearTerror

SecureCyberspace/Internet

Invest in Biotech/Stem Cell Research

50BDevices

50B Devices 1T Sensors

+

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



Slide 4


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

IOTIOT

System of systems working

together connected viaInternet drivingcombinatorial analytics



IOT



M2MM2M

Intelligent/flexible wirelessor wired systemsinterconnected with eachother for a specific app e.g.parking


M2M


EmbeddedEmbedded

Computer system with adedicated function within alarger system, often withreal-time constraints


Embedded




Slide 5


Slide 5

Definition Clarification

Usage = How the system or product is utilized bythe 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


Slide 6

IOT Usages Apps: Story of OC44 Transistor



Slide 7


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/NeighborhoodFamily/Home

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

PersonalManagement

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



Slide 8


Slide 8

Personal Usages

Calendar

Phone

T

Car

Alarm

Traffic

Toothbrush

Scale

Coffee-maker



Slide 9


Slide 9

Home and Family Usages

HomeSecurity

T

Weather Monitor

Patient

Monitor

HVAC

Baffles

Home Utilities Monitor

Phones

Oven/Range Refrigerator

GE W

DWElectricity

WaterGasWindowDoor



Slide 10


Slide 10

City Usages

Phones

Crowd source

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

WasteSystems

Seismic

Monitor

Noise Monitor Transportation

Air Pollution



Slide 11


Slide 11

National Level Usage

Forest Fire

Global Warming

T

Smart GridSensors

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


Slide 12

Planet Level Usages

Asteroid

T

Ocean

Health

Usage Scenarios• Prediction of storms, hurricanes,…

• Health Epidemics

• Nuclear tests and proliferation

• Monitoring magnetic storms

• Measurement of UV radiation

SustainableEnvironments

Greenhouse

gases

Glaciers

Tsunami

Nuclear Control

Smart Health



Slide 13


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


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


Slide 15

List of Applications is endless

• Smart parking

• Infrastructure Health

• Noise Pollution Control

• Crowdsourcing information forSmartphones

• 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 renewableenergy

• 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


Slide 16

Apps Hierarchy in the IOT Continuum

Sensors Data

Information

Knowledge

Wisdom

X, Y, Zcoordinatesfrom a GPS

John goesto Starbucksthree/week

Starbucks

Near theHotel in NY

There isStarbucks atthis location

N

o d e

E d g e B

a c k e n d / C l o u d

E2ESecurityPrivacy,IdentitySafety

Analytics



Slide 17


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*, kernelMachine, Bayesian Net,

Sparse Bundle Adjustment

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

Worried, Chatting,Commuting

N o d e /

S e c u r i t y

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


Slide 18

From Information to Knowledge

Sensors Data

Information

Knowledge

Wisdom

E d g

e

Operating SystemConnectivity Software

Complex InferencingEngine including Contextualand Temporal Analytics and

Predictive software

Data StorageDat FilteringAlgorithms

Security, Privacy, Identity,and Safety

M2M Focus




Slide 19


Slide 19

From Knowledge to Wisdom

Sensors Data

Information

Knowledge

Wisdom

Operating SystemConnectivity Software

Highly Complex,combinatorial Analytics

Large Mirrored DataStorage and systems

Data Filtering Algorithms

Security, Privacy, Identity,and Safety

B a c k e n d

/ C l o u d

IOT (system of systems)




Slide 20


Slide 20

Conclusion

• IOT App opportunity space is humongous (100M?)

• The amount of data generated from 50B devicesand 1T+ sensors will be massive

• The data must be reduced to information at thegeneration node to reduce large data overload

• The IOT technologies and apps must address IOTusages and deliver expected User Experience

• Security, Privacy, and Identity need to be designedin from day 1



Slide 21


Slide 21

Thank you

TSensorSummit-Emerging IOT Usages & Apps for Trillion+ Sensors-Sandhi...

Documents

Transcript of TSensorSummit-Emerging IOT Usages & Apps for Trillion+ Sensors-Sandhi...