Enabling Smart Data on M2M Gateways and Aggregators - Walt Bowers

© Hitachi Communication Technologies America, Inc. 2013. All rights reserved.
Enabling Smart Data on M2M
Gateways and Aggregators
How OSGi and Java enables smart data
on M2M aggregators and gateways.
Hitachi Communication Technologies America, Inc.
3/27/2013
Walt Bowers
Chief Architect OSGi Solutions

Contents
1. M2M Overview
2. Aggregators and Gateways
3. Developer Challenges in M2M
How OSGi and Java enables smart data on M2M aggregators
and gateways.
Enabling Smart Data on M2M Gateways and Aggregators
1
4. OSGi – The M2M Framework to enable smart Data
5. Demo

1. M2M Overview
How OSGi and Java enables smart data on M2M aggregators and gateways.
2

3© Hitachi Communication Technologies America, Inc. 2013. All rights reserved.
M2M Overview
Enterprise Data &
Applications
Cloud for
Embedded
Devices
Meters
Smart Appliances
& electronics
Personal
Devices
Med-Large Embedded / Multi-
function Devices
VoIP Communications
Industrial controls /
Network Appliances
Management / Monitoring /
Operations
Sensors /
Microcontrollers
Connected Vehicles

M2M Architecture
Java Language & Tools
Java
Card
Java Embedded
Industries: Healthcare, Energy, Automation, Communications, etc.
SOA
/ESB
DB
Enterprise
Manager
Devices
Embedded
Platforms &
Extensions
Language
Applications
Language
Platform &
Services
Servers
Z-Wave
ClientCloud/Servers
Cloud / Network Infrastructure
Services Communications, Data Aggregation, Software Updates, Local Analytics etc.
OSGi
Application
Manager
Zigbee Bluetooth
DB

Development on the Client Side
Java
Card
Java Embedded
DBEmbedde Suite
Devices
Embedded
Platforms &
Extensions
Language
Client
Services Communications, Data Aggregation, Software Updates, Local Analytics etc.
OSGi
To Cloud/Application
Sensors Z-Wave Zigbee Bluetooth

M2M Market Dynamics
• Size , Growth, and Technology is driving an expected Revolution
– 50+ Billion connected devices anticipated 2020*
– Processing power continues to increase within these devices
allowing for enhanced intelligence
– Increasing number of ways to effectively interconnect
Machines/Devices/Equipment to an end users, cloud, and business
applications
* Source Ericsson
• However, realization of these benefits are not occurring
today because:
– Complete or end-to-end solutions are inherently complex and
costly to design, develop and deploy
– Solutions that are deployed today can be a combination of
technologies that are stitched together and thereby not able
to evolve or adapt easily

2. Aggregators and Gateways
7

Many Devices at a location
• How to act on local data?
• How to do local analytics?
• How to create smart data for the cloud?
Residential Industrial/
Commercial
Transportation

Aggregators – One Device to Rule them All
WiFi Bluetooth IP
Zigbee Z-Wave CANBUS DECT

Aggregators and Gateways
• Control and Collect Data from sensors and devices
– Aggregate data from multiple sensors/devices
– Provide local management for sensors/devices
– Intelligently determine when and how to upload the data
• Local Analytics
– Smart network usage
• Alert – send via 3G/4G network immediately
• Data collection, wait till WiFi or off peak
– Local analytics
• Turn sensor or switch on/off based on local rules
• Local decisions based on local sensor data
– Behavior can be dynamically updated
• Controlled by cloud based on global analytics

Hospital or
Healthcare Provider
Company Field
Support Staff
3rd Party
Service Provider
Network
(Wired or Wireless)
Consumer
Business
Operation Mgr
App
Servers
Aggregators in the Network

2. Developer Challenges in M2M
12

Which Aggregator Platform

Java - Device Independence
Just Add:
• Application Lifecycle
– Install, uninstall, start, stop, upgrade
• Multiple Versions of Application
• Dynamically Changing the Behavior
• Discovering Services
But we are still missing:

M2M Networking Technology
1960’s 1970’s 1980’s 1990’s 2000’s 2010’s
RS-232
Ethernet
X10
RS-485
RS-422
RS-232
802.11b&g
USB
Wireless Hart
Satellite
GSM/GPRS
Ethernet
X10
RS-485
RS-422
RS-232
802.11 a&n
WiMax
6LoWPAN
Bluetooth
Zigbee
ZWAVE
LTE
802.11 b&g
USB
Wireless Hart
HSPDA
Satellite
GSM/GPRS
Ethernet
X10
RS-485
RS-422
RS-232
Satellite
GSM/GPRS
Ethernet
X10
RS-485
RS-422
RS-232

M2M Protocols, Sensors & Connected Devices
Zigbee
Z-Wave
Bluetooth
DECT
WiFi
IP
CanBUS
Door lock
Thermostat
Energy
Monitor
Glucose Monitor
Camera
Temperature
SensorBlood Pressure
Monitor
Motion Detector
Light Sensor
Light
Switch
Accelerometer
GPS
Simple
Switch
Dimmer
X10
Pulse-Ox
ModBUS
Smart
Meter
Humidity Sensor
6LoWPan
Barometer
Passenger Counters
RS232

Java + OSGi
M2M Smart
Aggregators and
Gateways

4. OSGi – The M2M Framework for Smart Data
18

Java and OSGi in M2M Architecture
App
Bundles
Abstraction
Bundles
Video
Streaming
Z-Wave
Service
Photo
app
Sensor (Z-Wave,
ZigBee), UI
Serial
Service
Storage
Service
ZigBee
Service
USB
Base
USB
Serial
Mail
USB
Storage
NI Mgr
HTTP UPnP XML Service Tracker Device Access
OSGi Framework
OSGi Compendiums
Java SE Embedded or JavaME
Operating System
Hardware
Drivers
(e.g. USB)
Wifi
Service
Cellular
Service
SMS
Service
PAN
Service
Bluetooh
Service
JavaOne NFC
Demo
• Provides common bundles to promote applications
• Development of Common bundles/services to abstract protocols
• Added value for application developers

OSGi benefits for M2M
• Quicker development and deployment of M2M solutions
– Device and sensor abstraction
– Focus on the business solution not the underlying sensor technology
– Access to large community of Java developers
– Quick integration and use of existing projects
• Gateway behavior can be changed dynamically and remotely
– Local analytics and business rules are controlled by global analytics
– Dynamically adapted for verticals or specific customers
• Broadens the scope of M2M applications
– Applications can be re-used in different verticals
• Combining of existing services to create new services
– Applications use services of other applications to create new services
• Portability of M2M Applications
– Java allows device independence
– Same application on many gateway types

5. Demo
21

JavaOne NFC Demo
ZWave Zigbee
NFC
Reader
LCD
Display
MiraBox
Multi-Sensor Energy Switch

Hitachi Communication Technologies America, Inc.
3/27/2013
Walt Bowers
Chief Architect OSGi Solutions
Walt.bowers@hitachi-cta.com
END
23

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Enabling Smart Data on M2M Gateways and Aggregators - Walt Bowers

Transportation Apps – buses, trains, fleet
Passenger
Counter
ReliaGATE
(System gateway)
1 Location tracking (LBS)
Camera (Normal operation,
local storage; emergencies such
as Amber alert, streaming to
emergency authorities)
Digital signage (Information
and advertising - Location
aware)
Vehicle diagnostics
(Sensors throughout
vehicle)
Route monitoring (Time of
day optimization)
Fraud detection
(Passenger counter,
camera, fare collection)
3
2
4
56
7

SuperJ® Applications Ecosystem: Security,
Home Control, Connected Health, Media Sharing

Enabling Smart Data on M2M Gateways and Aggregators - Walt Bowers

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Enabling Smart Data on M2M Gateways and Aggregators - Walt Bowers