44 pt Embedded Intelligence t in the Networked Society t �� �� Jan Höller � Principal Researcher Ericsson Research Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08 Jan Höller, Ericsson
Vatican City 2005 44 pt t t �� �� � Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08 Jan Höller, Ericsson
Vatican City 2013 44 pt t t �� �� � Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08 Jan Höller, Ericsson
TOWARDS BILLIONS OF CONNECTED THINGS 44 pt Networked Society t Nr of connected devices t Mobile Phones �� �� � Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08 Jan Höller, Ericsson
Transformation - The Big Picture 44 pt t POWER SHIFT INTERNET OF THINGS t RESOURCES DATA AND INSIGHTS TECHNOLOGY SOCIAL MEDIA �� �� ENVIRONMENT CLOUD AND NETWORKS � URBANIZATION OPEN INNOVATION Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08 Jan Höller, Ericsson
Targeted Industry Segments 44 pt Energy & Utilities o r d e r t o r d e r t o c a s h Transport & o c a s h t r o u b l e t o t r o u b l e t o S a f e t y & s e c u r i t y r e s o l u t i o n r e s o l u t i o n Automotive t t Realize connectivity Enable intelligent Complement and data analytics transport systems mission critical voice in Smart Grids for people and goods with multimedia services �� �� � Integrated Environments Urban Solutions and Smart Sustainable Cities Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08 Jan Höller, Ericsson
A Digital Representation of the real world 44 pt t temp ! vibration ! noise ! temperature ! air_quality ! traffic_intensity ! occupancy ! t surface_condition ! energy ! noise_level ! water ! route_to_work ! energy ! heart_rate ! water ! skin_conductance ! waste ! calories ! CO2_emission ! gesture ! �� �� machine_tear ! mood ! production ! position ! movement ! � irrigation ! location ! luminosity ! occupancy ! nutrition ! fuel ! moisture ! emissions ! pesticides ! speed ! Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08 Jan Höller, Ericsson
I o T Functional Stack 44 pt Industries & Consumers Enterprise business support and integration : CRM, ERP, ... User exposure : Retail, Portals, Visualizations, APIs Business Support Marketplaces: Brokering, transaction mgmt, t Common applications : Preventive Maintenance, Automation, Items Tracking, Building Automation, Farming Control, Applications Sensing and Actuation t Environmental Monitoring, ... Management Knowledge Management and Processing : Real World Model, Knowledge Management Resource modelling, Analytics, Context Awareness, Reasoning, Security Actionable services, Learning, Automation, ... Common enablers: Device and Resource Management, Service Enablement Data and Event capture, Data Warehousing, �� �� Cloud, Distributed Execution Environment Connectivity : Cellular, Fixed, Satellite, Capillary Networks, Connectivity � Managed Connectivity Monitor&Control: Sensors, Actuators, Tags, Devices, Devices Gateways, WSAN Real World Assets: Building, Smart Grid, Vehicle, Body,... Thing/Asset Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08 Jan Höller, Ericsson
Today vs. Tomorrow 44 pt t Tomorrow Today t complex problems point problem horizontal approach stove pipe solutions multi-purpose devices one device type - one app app innovation specific and proprietary �� �� open standards technologies data and information driven in-house IT � automation device and connectivity focus data marketplace no data sharing Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08 Jan Höller, Ericsson
Technology Innovation 44 pt Networks Devices t Objects Web/RESTful IP/6LoWPAN t �� �� Intelligence Semantics � Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08 Jan Höller, Ericsson
Make devices go mainstream 44 pt › Go IP t – Reduce technology fragmentation – Drive IP to the “tiniest of devices” t › Go Web – Use standard web technologies – Ease enterprise SOA integration 48 kB of Flash �� �� 8 kB of RAM – Attract the global developer community Resource View /temp /light /switch � › Go Simple REST (CoAP, HTTP) TCP/UDP – Make devices application generic IPv6 – Drive value from devices to cloud enablement 6LoWPAN 3G WiFi – Break device silos LTE IEEE BTLE 802.15.4 Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08 Jan Höller, Ericsson
Tiny Devices Interoperability 44 pt › Management and Application control of constrained devices t – Microcontroller, battery operated t Application Software Application › Small RESTful Device-Server interface API IPSO Smart Objects – Lean extensible object and resource model – Supports multiple concurrent applications OMA LWM2M HTTP Service �� �� › 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 Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08 Jan Höller, Ericsson
Integration of Legacy devices 44 pt › Smart Energy use case Social Web Client of Things t Cloud enablers › Heterogeneous device integration RD Social Web Of Things Apps – CoAP sensors and actuators t – Z-Wave Smart Plugs HTTP-CoAP Proxy Resource › Uniform device exposure Z-wave/CoAP Directory OSGi – REST via HTTP and CoAP �� �� Linux – IPSO Application Framework Gateway Residential M2M � › Supported: – CoAP – HTTP-CoAP proxying LABS CoAP Devices: STM32W Z-WAVE Smart Plugs, AEON Wireless MCU&Sensors, – Local caching and Observations IHP004V1 Smart Plugs STEVAL- – Resource Directory Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08 Jan Höller, Ericsson
The Emerging 5G System 44 pt t t Multi-hop communication Device-to-device �� �� Ultra-dense deployments communication and cooperative devices � Ultra-reliable Inter-vehicular / vehicular-to-road communication communication Machine Capillary communication network Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08 Jan Höller, Ericsson
Machine Type Communication 44 pt Low cost Ultra reliable Low energy TEXT Very low latency Small data volumes Very high availability Massive numbers t Massive MTC Critical MTC t … … “Tactile Smart grid Traffic safety Industrial Internet” Capillary networks & control application Sensors, actuators �� �� 2G, 3G, 4G LTE , 5G 5G Ultra-long range 5x lower latency Upto 80% reduced 10 years 10x – 100x � modem complexity AA battery life time no of devices 15-20 dB to ms level Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08 Jan Höller, Ericsson
Capillary Networks 44 pt end-to-end controlled IP connectivity Features • Bridging xAN-WAN Bluetooth LE • Auto-configuration and Management t • Security • Ensured E2E connectivity t IEEE 802.15.4 • Life-cycle robustness Data Center Usages IEEE 802.11ah Mobile Core Backend • Neighbourhood Area Networks �� �� • Buildings and Homes • Remote Plants and Sites � Capillary Capillary Networks GWs Auto-Configuration, GBA Security, Dynamic Middleware, Dynamic GW Selection, Local Service and Processing, Legacy Integration Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08 Jan Höller, Ericsson
From raw data to intelligence 44 pt Automation t t Analytics Model, Reasoning Tasking Knowledge Decisions �� �� Sensing � Actuation Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08 Jan Höller, Ericsson
Diverse Use Case Types 44 pt Massive Monitoring Asset Management and Tracking • Preventive Maintenance • Environmental Monitoring t • Building/Home Automation • GIS applications • Goods Tracking • Infrastructures t • Realtime Analytics • Big Data and Bulk Analytics • Information Logging and Federation • Insight driven, Trend Analysis • Simple to Complex Control Logic • Data Federation • Multimodal S&A and Tags Remote operations and Robots Infrastructure Monitor and Control �� �� • Heavy Machinery • Smart Grid and Utility Infrastructures • Process Industry • Transportation � • Autonomous Machines • Integrated Infrastructures, Cities • Large Scale Heterogeneous Analytics • Real-time sensitive • Complex Multisystem Control • Complex Control Systems Logic • Federation and Marketplaces • Multimodal sensing and actuation • Adaptive and Learning • Distributed execution Embedded Intelligence in the Networked Society IoTS WS, IEEE Globecom, 2014-12-08 Jan Höller, Ericsson
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