Embedded Intelligence t in the Networked Society t Jan Hller - - PowerPoint PPT Presentation
44 pt Embedded Intelligence t in the Networked Society t Jan Hller Principal Researcher Ericsson Research Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08 Jan Hller, Ericsson
44 pt t t
Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08
Jan Höller Principal Researcher Ericsson Research
44 pt t t
Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08
44 pt t t
Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08
44 pt t t
Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08 Nr of connected devices
Mobile Phones
Networked Society
TOWARDS BILLIONS OF CONNECTED THINGS
44 pt t t
Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08
POWER SHIFT URBANIZATION ENVIRONMENT RESOURCES TECHNOLOGY INTERNET OF THINGS OPEN INNOVATION CLOUD AND NETWORKS DATA AND INSIGHTS SOCIAL MEDIA
44 pt t t
Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08
t r o u b l e t 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
44 pt t t
Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08
temp! noise! air_quality!
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!
fuel! emissions! speed! irrigation! luminosity! nutrition! moisture! pesticides!
44 pt t t
Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08
Service Enablement Business Support Thing/Asset Security Industries & Consumers Connectivity Management Sensing and Actuation 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,...
44 pt t t
Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08
Today
point problem stove pipe solutions
specific and proprietary technologies in-house IT device and connectivity focus no data sharing
Tomorrow
complex problems horizontal approach multi-purpose devices app innovation
data and information driven automation data marketplace
44 pt t t
Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08
Semantics Intelligence Devices
Objects Web/RESTful IP/6LoWPAN
Networks
44 pt t t
Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08
› 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
44 pt t t
Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08
› 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
44 pt t t
Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08
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
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
44 pt t t
Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08
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
44 pt t t
Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08
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
44 pt t t
Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08
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
Management
Usages
44 pt t t
Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08
Sensing Actuation Analytics Tasking Model, Knowledge Reasoning Decisions Automation
44 pt t t
Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08
Massive Monitoring Remote operations and Robots Asset Management and Tracking Infrastructure Monitor and Control
44 pt t t
Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08
› 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
Data Processing and Analytics
Semantic Annotation Stream Processing Data Access, Event Capture Analytics, ML Data Store
44 pt t t
Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08
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
44 pt t t
Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08
44 pt t t
Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08
› 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
44 pt t t
Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08
Privacy
Security
Life cycle management
Business models
Data reliability
Semantic interoperability
tle 70 pt S tle pt
http://www.ericsson.com/research-blog
Follow us:
@EricssonLabs