Eui-Nam Huh, PhDDept. of Computer EngineeringKyung Hee UniversityKorea

Sensor Data Sharing System for Global IP-USN

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Background(1/2)• 21 Century IT : Revolution of “Object to Object Intelligent Network”

– The Internet of Things(object-to-object, M2M) : M2M communications is a new information

communication concept, it refers to the networked interconnection of every objects

– Government-funded network of intelligent things In Korea

– The Korea Communications Commission : Establishing M2M construction Basic Plan for ‘2020

Super IT Korea’

Resources: ETRI Planning Report, network of intelligent things based Broadcasting & Telecommunications Convergence Strategy Configuration (2009.4)

자료 : ETRI 기획보고서, 만물지능통신망 기반의 방송통신융합전략 구성(2009.4)

Intelligent Network ParadigmNetwork ParadigmInformation Processing Paradigm

Distributed Networked Intelligential

IT : Information Processing Machine IT : Communication and Collaboration IT : Intelligent object fusion

Main Frame[Centralized Computing]

Client/Server

PC[Distribute Computing]

Commercialized Internet

Broadband IT

Web2.0

UbiquitousNetwork

UbiquitousComputing

M2M

Web X

1970 1980 1990 2000 2005 2010 20154

Background(2/2)

• Global u-Society movement by the change of IT paradigm

• Increase necessity of data share through heterogeneous sensor network(ex – Weather cast, Environment detect information like ash in Iceland)

• Increase of error rate and traffic while providing service in large scale IP-USN environment.

Need International Working Group throughinternational collaboration

Need the metadata define and classificationof sensor data

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Research Purpose

IP-USN Integration Environment Sensor

Data

6LoWPANSensor Data

DefineUSN Security, Authentication

SpecificationsNetwork Access

Method

Sensor MetadataDefine

Metadata Sharing System Structure

USN Service FieldClassification

yData Access

Policy

Data Search Method

Format Define

KoreaWorking Group

Kyung HeeUniversity

Research Team

International Research TeamWorking Group

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Outline

IP-USN common interface and data standard

Survey and analysis international standard(TTA, IEEE, ISO, etc.)

Classification and definition of application services

Classification and definition of kinds of Sensor Data

Required metadata specification: the sensor data specifications

required for data sharing

To identify the strengths and weaknesses of various format defined

Metadata format

System Architecture Specification for metadata sharing

Data Access Policy Definition: data access between Heterogeneous

sensor networks

ZigBee defines the network access method for such 6LoWPAN

WSN authentication access control research, 6LoWPAN Authentication

access method

Define the method of data search through server such as Web or SOA 8

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Requirements for sensor data sharing

• Resource Management– Sensor Node Resource Management– Sensor Network Resource Management

• Data Management– Exchange data among different domains– Exchange data among nations– Metadata establishment

• Sensor Node Deployment– Sensor Node capacity, Standard RF– Topology– MAC – Power

Sensor Data Sharing Issues(1/2)

• Who search/access your data?– User: Anyone, Authorized Users, Differentiated Access

• What types of Data?– Batch Data(Daily, Weekly, Monthly, Yearly)– Interactive Data(Currently holding data)

• Scale of Data Sharing– Nations to Nations– Applications to Applications– Gateways to Gateways

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Sensor Data Sharing Issues(2/2)

• Scope of Sharing Information– Metadata (What Kinds of data we have)– Original Sensor Data– Metadata First and Data access secondly

• Which object to share– Sensor Node– Gateway(Data node)– DB(Application) Sever– Metadata Manager

• How to exchange?(Communication Protocol)– Disk, USB– Web x.0, Web Services(SOAP), FTP, Email, Socket Applications

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SDSS – System Configuration

• Store all the metadata of nation on the each nation metadata server database• The actual sensor data access through stored metadata available• When metadata update, need the all metadata server update for metadata synchronization

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USN Data Level Classification

Data Scope for global data sharing

Nation Wide Level : Select country for Global data sharing

Application Level : Traffic, Weather, Structure Monitoring…

Local Area Level : Seoul, Hanoi, Tokyo, Beijing…

Network Level : WSN in specific area(Gateway, Data node)

Node Level : Sensor Nodes

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Nation Wide Metadata Server

Country 1

Hierarchical Search Architecture

WeatherWeather

WSN Application

Incheon

Local area

TrafficTraffic

WSN Application

. . .

Seoul

Local area

Suwon

Local area

SN 1

Network

SN 2

Network

SN 3

Network

. . .

. . .

. . .A B C n

Nation Wide Metadata Server

Country 2

metadata

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SDSS – System Design

precipitation meter

Anemometer

Anemoscope

PressureGauge

Sink

Water Thermometer

Thermometer

Basic ArchitectureBasic Architecture

Gateway

(Data node)

Gateway

(Data node)

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SDSS – System Design(Virtual Overlay Network)

Local AreaLocal Area

SeoulSeoul

Gateway

ApplicationDatabase

Metadata Server

SN

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SDSS - System DesignNation WideNation Wide

Metadata server W/ Web

KOREN

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SDSS - System DesignGlobalGlobal

Metadata Server

WSN

Gateway

Server DB

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SDSS – Details Architecture

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SDSS – Details Information• Metadata Creation and Storage

– Generated sensor data in each USN stored in database and transmission on the sensor data server through Sink node

– Harvest sensor data into metadata using XML

– Store converted metadata on the metadata server

– Exchange metadata via TEIN to on the metadata database of each nation

• User metadata access

– Access to the metadata server using web

– Request the sensor data through the metadata

– Output requested data on the web

• Metadata Sharing

– In each country has a Meta data server with database

– Communicate using P2P Library to find servers

– Exchange metadata and store all metadata on one server

– When metadata updates, metadata sever need to exchange 20

SDSS - Features

• The sensor data using metadata can be their own security

• Available easily search through the metadata

• Real-time data

– Update sensor data in real time, real-time data acquisition will create the metadata available

• Synchronization between the server– Metadata updates can be synchronized between servers

(Because of less traffic, available a quick updates)

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SDSS Implementation – Testbed

Sink Node & Sensor Nodes

Metadata Service Server(Metadata DB)

Local Server(Original

Sensor DB)

Sink Node

Sensor Node

•User environment : Web x.0, mobile phone

•DB(Database) : Mysql•Tool : editplus, xftp, ultraedit-32•Language : php, xml, sql

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SDSS Implementation

• National XML Metadata Create

Ex) Korea– Si = City– Di = District– Ar = Area– Application = Application– Data Type = Type– Selected Sensor Data Address = URL– Input = Request Input Items

• Metadata Search System– Create XML Classifieds search form

• Original Data File Transport Provide (P2P)– User can check the sensor data and download as file in web

• Data Synchronization Between each Metadata Service Servers– Apply the techniques for data synchronization between the service server

Metadata Structure(Korea)

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City Di Ar Application Type Date URL Input

SDSS Implementation – User Screen

Map through Select Area

Search Direct Input latitude and longitude

Tree through Select Area

http://sensor.icnslab.net/

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• User select the desired area in Google map or tree

SDSS Implementation – User Screen

Period set

Value range set

Selected location

information

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• Display the kinds of sensor data in the area, Set the property value range and the period range

SDSS Implementation – User Screen

Select file download method

XMLMeta Data

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• Output the sensor data and XML metadata in selected area

SDSS Implementation – User Screen

Select file download method

Chart download

XMLdownload

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• User download the table and the chart, the xml

SDSS Implementation – User Screen

E-maildownload

XML & Chart Send E-mail

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• User Send the files to e-mail

Expected Effect• IP-USN Core Technology Joint Development and

Research Evaluation Exchange– Core technology joint development– Exchange technology through periodical seminar– Exchange research evaluation– Exchange labor

• Application Service Joint Research– Institute for Infocomm Research Singapore (IIR)– Camera Sensor Video Data Handling joint research– Use TEIN 3 research network– Publish International Conference paper by joint research evaluation

• Core Technology – SNMP Technology Joint Use Experience– Joint usage of Fraunhofer FOKUS, Germany lab. technology

Pressure sensors

Wearable vital sign sensors

Accelerometers

Video camera

Ultrasound sensors concealed in the ceiling

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Expected Effect

• Apply various application service in large scale USN environment(u-City, Green IT)

• Establish next generation u-sensor convergence network infrastructure

by leading ALL-IP policy through international strategy.

• Prepare international standard joint research through domestic

working group and APAN activity.

• Lead international standards and next generation u-IT infrastructuretrade market.

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