Design Issues in Global Sensor Data Sharing (Data Management) Eui-Nam Huh Professor Kyung Hee University, Dept of Computer Engineering, Korea Director / Associate Director Internet Computing & Security Lab. / u-LifeCare Research Center National Research Foundation in Korea(SE) Chair Asia Pacific Area Network Sensor Network WG Chair
IT Paradigm transition 21 century IT industry : 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 everyday objects. Information Processing Intelligence Paradigm Network Paradigm Paradigm (Information+Network) Distributed Networked Intelligential Web X Node Sensor nodes Federation 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
SensNet WG Focus : Federation • Resource Management – Sensor Node – Sensor Network • Data Management – Exchange data among different domains, even nations – Metadata establishment • Deployment – Node capacity, Standard RF – Topology – MAC – Power
Sensor Data Sharing Issues • Who search/access your data? – User: Anyone, Authorized Users, Differentiated Access – Machine to Machine • What types of Data? – Batch Data (Daily, Weekly, Monthly, Yearly) – Interactive Data (Currently holding data) • Scale of Data Sharing – Nation to Nation – Applications to Applications – Gateway to Gateway
Sensor Data Sharing Issues Scope of Sharing Information • – Metadata (What kinds of data we have) – Data – Metadata First and Data access secondly Which object to share • – Node – Gateway(Data node) – DB (Application) Server – Metadata Manager How to exchange (Communication Protocol) • – Disk, USB – Web x.0, Web Services(SOAP), FTP, Email, Socket Applications
Sensor Data Sharing Issues Data Scope for global data sharing Nation Wide Level : Select country for global data sharing Application Level : Traffic, Weather, Structure monotoring… Local Area Level : Seoul, Hanoi, Tokyo, Kuala Lumpur, … Network Level : Network in specific area(Gateway, Data node) Node Level : Sensor Nodes
Hierarchical Search Architecture metadata Nation Wide Metadata Server Nation Wide Metadata Server Country 2 Country 1 WSN Application WSN Application . . . Weather Traffic Local Area Local Area Local Area . . . Inchon Seoul Busan Network Network Network . . . SN 1 SN 2 SN 3 . . . A B C n
Data Sharing in WSN Basic Architecture GW(Data node) Sink P2P Anemoscope Pressure Thermometer GW(Data node) Gauge Anemometer precipitation meter Water Thermometer
Data Sharing in Local Area (Better to have Virtual Overlay Network) Local Area Seoul SN Gateway Application Database Metadata Server
Data Sharing in Nation Wide Nation Wide Metadata server W/ Web KOREN
Data Sharing in Global Global Metadata Server GW(Data node) SN Server DB
Examples : WSN Metadata elements for temperature data Data Metadata Elements Value T = 22 Phenomena Temperature Data unit Celsius degree 2009/01/23 19:23:45 Time Result Lat 40 ° 26'North; Long Location 3 ° 42'West Feature of Interest Mote type Technical University of Sensor Type Madrid Campus Other data associated mts420 crossbow Node identifier Sensirion SHT11 Number of nodes in network Humidity, Barometric Number of node neighbors Pressure, Ambient, .... Light Sensors, Dual-Axis Accelerometer, GPS position. 5 11 7 ....
The four types of contexts for interoperability Sensing Contexts Node Contexts Network Contexts Organizational Contexts - same/different - lack of resources - low/high density - high/medium/low phenomena - fixed/mobile node - big/small network security - mobile phenomena - isolation - exceeded/ restrictions - indoor/outdoor - sleep/wake up insufficient - avoid coverage area interoperability - where (administrative area)
Example : contexts according to different levels of approximation Metadata Element Level of Approximation Contexts Location Data location Sensing Context Lat 40 ° 26'North Node location Node Context Long 3 ° 42'West Network coverage area Network Context Administrative area Organisational Context Ref : D. Ballari, M.Wachowicz, M.A.M. Callejo“Metadata behind the Interoperability of Wireless Sensor Networks”,Sensors, pp. 3635~3651 2009,
Discussions • More Issues in Data Management?
Recommend
More recommend
