Sensor Data Sharing System for Global IP-USN Eui-Nam Huh, PhD Dept. of Computer Engineering Kyung Hee University Korea
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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’ Information Processing Paradigm Network Paradigm Intelligent Network Paradigm Distributed Networked Intelligential Web X M2M Web2.0 PC Ubiquitous [Distribute Computing] Computing Ubiquitous Broadband IT Client/Server Network Main Frame Commercialized [Centralized Computing] Internet IT : Information Processing Machine IT : Communication and Collaboration IT : Intelligent object fusion 자료 : ETRI 기획보고서, 만물지능통신망 기반의 방송통신융합전략 구성(2009.4) 1970 1980 1990 2000 2005 2010 2015 4 Resources: ETRI Planning Report, network of intelligent things based Broadcasting & Telecommunications Convergence Strategy Configuration (2009.4)
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 through international collaboration � Need the metadata define and classification of sensor data 5
Research Purpose Kyung Hee International Korea University Research Team Working Group Research Team Working Group IP-USN Integration Sensor Metadata Metadata Sharing Environment Sensor Define System Structure Data Sensor Data Data Access 6LoWPAN Define Policy y USN Security, Network Access Specifications Authentication Method Data Search USN Service Field Format Define Classification Method 6
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 8 Define the method of data search through server such as Web or SOA
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 9
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 10
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 11
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 12
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 13
Hierarchical Search Architecture Nation Wide Metadata Server Nation Wide Metadata Server metadata Country 1 Country 2 WSN Application WSN Application . . . Weather Weather Traffic Traffic Local area Local area Local area . . . Incheon Seoul Suwon Network Network Network . . . SN 1 SN 2 SN 3 . . . A B C n 14
SDSS – System Design Basic Architecture Basic Architecture Sink Gateway (Data node) Anemoscope Pressure Thermometer Gauge Anemometer Gateway precipitation meter (Data node) Water Thermometer 15
SDSS – System Design (Virtual Overlay Network) Local Area Local Area Seoul Seoul SN Gateway Application Database Metadata Server 16
SDSS - System Design Nation Wide Nation Wide Metadata server W/ Web KOREN 17
SDSS - System Design Global Global Metadata Server Gateway WSN Server DB 18
19 SDSS – Details Architecture
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 20 – When metadata updates, metadata sever need to exchange
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) 21
SDSS Implementation – Testbed • User environment : Web x.0, mobile phone Metadata Local Server Service Server • DB(Database) : Mysql (Original (Metadata DB) Sensor DB) • Tool : editplus, xftp, ultraedit-32 • Language : php, xml, sql Sink Node & Sensor Nodes Sink Node Sensor Node 23
SDSS Implementation • National XML Metadata Create Metadata Structure(Korea) Ex) Korea City Ar Input Di Application Type Date URL – 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 24 – Apply the techniques for data synchronization between the service server
SDSS Implementation – User Screen Map through Select Area Tree through Select Area http://sensor.icnslab.net/ Search Direct Input latitude and longitude • User select the desired area in Google map or tree 25
SDSS Implementation – User Screen Selected location information Value range set Period set • Display the kinds of sensor data in the area, Set the property value range and the period range 26
SDSS Implementation – User Screen XML Meta Data Select file download method • Output the sensor data and XML metadata in selected area 27
SDSS Implementation – User Screen XML download Chart download Select file download method • User download the table and the chart, the xml 28
SDSS Implementation – User Screen XML & Chart Send E-mail E-mail download • User Send the files to e-mail 29
Expected Effect • IP-USN Core Technology Joint Development and Ultrasound sensors concealed in the ceiling Video Research Evaluation Exchange camera – Core technology joint development Wearable vital – Exchange technology through periodical seminar sign sensors Pressure sensors – Accelerometers 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 31
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