apan sensor data sharing system-final · 2011-02-23 · background(1/2) • 21 century it :...
TRANSCRIPT
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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