Embedded Intelligence in the Networked...

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Ericsson Internal | 2010-12-10 |

Jan Höller, Ericsson Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08

Jan Höller Principal Researcher

Ericsson Research

Embedded Intelligence in the Networked Society

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Vatican City 2005

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Vatican City 2013

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Nr of connected devices

Mobile Phones

Networked Society

TOWARDS BILLIONS OF CONNECTED THINGS

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Transformation - The Big Picture

POWER SHIFT

URBANIZATION

ENVIRONMENT

RESOURCES

TECHNOLOGY

INTERNET OF THINGS

OPEN INNOVATION

CLOUD AND NETWORKS

DATA AND INSIGHTS

SOCIAL MEDIA

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Targeted Industry Segments

o r d e r t o c a s h t r o u b l e t o r e s o l u t i o n

Energy & Utilities S a f e t y & s e c u r i t y

Realize connectivity and data analytics

in Smart Grids

Enable intelligent transport systems

for people and goods

Complement mission critical voice

with multimedia services

Integrated Environments Urban Solutions and Smart Sustainable Cities

Transport & Automotive

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A Digital Representation of the real world

temp!noise!

air_quality!occupancy!energy!water!

vibration!temperature!

traffic_intensity!surface_condition!

noise_level!route_to_work!

energy!water!waste!

CO2_emission!machine_tear!production!

heart_rate!skin_conductance!

calories!gesture!mood!

position!movement!

location!occupancy!

fuel!emissions!

speed!

irrigation!luminosity!nutrition!moisture!

pesticides!

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IoT Functional Stack

Service Enablement

Business Support

Thing/Asset

Sec

urity

Industries & Consumers

Connectivity

Man

agem

ent

Sen

sing

and

Act

uatio

n

Knowledge Management

Devices

Applications

Enterprise business support and integration: CRM, ERP, ... User exposure: Retail, Portals, Visualizations, APIs Marketplaces: Brokering, transaction mgmt,

Common applications: Preventive Maintenance, Automation, Items Tracking, Building Automation, Farming Control, Environmental Monitoring, ...

Knowledge Management and Processing: Real World Model, Resource modelling, Analytics, Context Awareness, Reasoning, Actionable services, Learning, Automation, ...

Common enablers: Device and Resource Management, Data and Event capture, Data Warehousing, Cloud, Distributed Execution Environment

Connectivity: Cellular, Fixed, Satellite, Capillary Networks, Managed Connectivity

Monitor&Control: Sensors, Actuators, Tags, Devices, Gateways, WSAN

Real World Assets: Building, Smart Grid, Vehicle, Body,...

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Today vs. Tomorrow

Today point problem

stove pipe solutions one device type - one app

specific and proprietary technologies in-house IT

device and connectivity focus no data sharing

Tomorrow complex problems

horizontal approach multi-purpose devices

app innovation open standards

data and information driven automation

data marketplace

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Technology Innovation

Semantics Intelligence

Devices Objects

Web/RESTful IP/6LoWPAN

Networks

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Make devices go mainstream

› Go IP – Reduce technology fragmentation – Drive IP to the “tiniest of devices”

› Go Web – Use standard web technologies – Ease enterprise SOA integration – Attract the global developer community

› Go Simple – Make devices application generic – Drive value from devices to cloud enablement – Break device silos IEEE

802.15.4

WiFi 3G LTE

BTLE

IPv6

TCP/UDP

6LoWPAN

REST (CoAP, HTTP)

Resource View /temp /light /switch

48 kB of Flash 8 kB of RAM

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Tiny Devices Interoperability

› Management and Application control of constrained devices

–  Microcontroller, battery operated

›  Small RESTful Device-Server interface –  Lean extensible object and resource model –  Supports multiple concurrent applications

›  IPSO Smart Object Starter Pack –  18 application level sensor and actuator objects –  Humidity, temperature, lighting, presence,

luminosity, power, barometer, accelerometer, magnetometer, switch, power ctrl, ...

›  Included in mbed.org

Application Software

IPSO Smart Objects

OMA LWM2M HTTP Service

API

Application

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Integration of Legacy devices

Z-WAVE Smart Plugs, AEON LABS

Residential M2M Gateway

Linux

OSGi

Z-wave/CoAP

HTTP-CoAP Proxy Resource Directory

RD Social Web Of Things Apps

Social Web of Things

Client Cloud enablers

CoAP Devices: STM32W Wireless MCU&Sensors,

Smart Plugs STEVAL-IHP004V1

›  Smart Energy use case

›  Heterogeneous device integration – CoAP sensors and actuators – Z-Wave Smart Plugs

›  Uniform device exposure – REST via HTTP and CoAP –  IPSO Application Framework

›  Supported: –  CoAP –  HTTP-CoAP proxying –  Local caching and Observations –  Resource Directory

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The Emerging 5G System

Ultra-reliable communication Inter-vehicular / vehicular-to-road

communication

Machine communication

Multi-hop communication

Ultra-dense deployments Device-to-device

communication and cooperative devices

Capillary network

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Machine Type Communication

Sensors, actuators

TEXT Low cost

Low energy Small data volumes Massive numbers

Ultra reliable Very low latency

Very high availability Massive MTC Critical MTC

Traffic safety & control

Industrial application

Smart grid “Tactile Internet”

… … Capillary networks

2G, 3G, 4G LTE, 5G 5G

Upto 80% reduced modem complexity

10 years AA battery life time

10x – 100x no of devices

Ultra-long range 15-20 dB

5x lower latency to ms level

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Capillary Networks end-to-end controlled IP connectivity

Capillary Networks

Mobile Core

Capillary GWs

Bluetooth LE

IEEE 802.15.4

Auto-Configuration, GBA Security, Dynamic Middleware, Dynamic GW Selection, Local Service and Processing, Legacy Integration

IEEE 802.11ah Data Center Backend

Features •  Bridging xAN-WAN •  Auto-configuration and

Management •  Security •  Ensured E2E connectivity •  Life-cycle robustness

Usages •  Neighbourhood Area Networks •  Buildings and Homes •  Remote Plants and Sites

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From raw data to intelligence

Sensing Actuation

Analytics Tasking

Model, Knowledge

Reasoning Decisions

Automation

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•  Real-time sensitive •  Complex Control Systems Logic •  Multimodal sensing and actuation •  Distributed execution

Diverse Use Case Types

Massive Monitoring

Remote operations and Robots

Asset Management and Tracking

Infrastructure Monitor and Control

•  Environmental Monitoring •  GIS applications •  Infrastructures

•  Big Data and Bulk Analytics •  Insight driven, Trend Analysis •  Data Federation

•  Heavy Machinery •  Process Industry •  Autonomous Machines

•  Preventive Maintenance •  Building/Home Automation •  Goods Tracking

•  Realtime Analytics •  Information Logging and Federation •  Simple to Complex Control Logic •  Multimodal S&A and Tags

•  Smart Grid and Utility Infrastructures •  Transportation •  Integrated Infrastructures, Cities

•  Large Scale Heterogeneous Analytics •  Complex Multisystem Control •  Federation and Marketplaces •  Adaptive and Learning

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Intelligent Software

› Automation enabled

› Knowledge Base –  Information Models – Ontologies

› Use appropriate Data Processing tools

› Semantics for heterogeneous data

Control Logic

Automation Nested Control Loops Reinforcement feedback

Actionable Services

Assurance

Verification

Task Resolution

Actuation

Knowledge Management

Verification

Simulation

Inference Engine

Semantic federation

NLP

Knowledge Base •  Declarative •  Procedural

Data Processing and Analytics

Semantic Annotation

Stream Processing

Data Access, Event Capture

Analytics, ML

Data Store

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The Smart City An Integrated open environment

Devices, IT and Communications

Community interface Sustainable city models Operations Centres

Analytics, knowledge and automation for infrastructures, things and people

Environment

Public safety

Buildings

Transport

Enterprises Applications

Waste Water

Energy

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Smart Sustainable Cities CityPulse

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Summary

› Internet of Things is a core Transformation Agent in the Networked Society

› Devices, the technology is close to here, but innovation must follow

› Large Scale Networks with the right characteristics are emerging

› Intelligent Software must be developed fit for the tasks at hand

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Challenges I did not mention

Privacy •  Regulations lagging

Security •  Authorized access •  Actuation •  E2E in tiny devices

Life cycle management •  “No cost” •  Planning-deployment-operations

Business models •  Incentives •  New roles

Data reliability •  Trust and Provenance •  QoI •  Liability

Semantic interoperability •  Modelling and Representation •  Discovery and matching

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CAPITALS

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Thank You!

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