Design Issues in Global Sensor Data Sharing (Data Management) - - PowerPoint PPT Presentation

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Design Issues in Global Sensor Data Sharing (Data Management) - - PowerPoint PPT Presentation

Jun 16, 2023 749 likes •930 views

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

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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

Design Issues in Global Sensor Data Sharing (Data Management)

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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.

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

Intelligence Paradigm (Information+Network) Network Paradigm Information Processing Paradigm Distributed Networked Intelligential Node Sensor nodes Federation

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 Ubiquitous Network Ubiquitous Computing

M2M

Web X 1970 1980 1990 2000 2005 2010 2015

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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

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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

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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

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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

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Nation Wide Metadata Server Country 1

Hierarchical Search Architecture

Weather

WSN Application

Inchon Local Area

Traffic

WSN Application

. . .

Seoul Local Area Busan 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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Data Sharing in WSN

precipitation meter Anemometer Anemoscope Pressure Gauge

Sink GW(Data node)

Water Thermometer Thermometer

Basic Architecture

GW(Data node)

P2P

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Data Sharing in Local Area (Better to have Virtual Overlay Network)

Local Area

Seoul

Gateway

Application Database Metadata Server

SN

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Data Sharing in Nation Wide

Nation Wide

Metadata server W/ Web

KOREN

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Data Sharing in Global

Global

Metadata Server SN GW(Data node) Server DB

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Examples : WSN Metadata elements for temperature data

Data Metadata Elements Value T = 22 Phenomena Data unit Time Result Location Feature of Interest Mote type Sensor Type Other data associated Node identifier Number of nodes in network Number of node neighbors .... Temperature Celsius degree 2009/01/23 19:23:45 Lat 40°26'North; Long 3°42'West Technical University of Madrid Campus mts420 crossbow Sensirion SHT11 Humidity, Barometric Pressure, Ambient, Light Sensors, Dual-Axis Accelerometer, GPS position. 5 11 7 ....

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The four types of contexts for interoperability

Sensing Contexts Node Contexts Network Contexts Organizational Contexts

  • same/different

phenomena

  • mobile phenomena
  • indoor/outdoor
  • lack of resources
  • fixed/mobile node
  • isolation
  • sleep/wake up
  • low/high density
  • big/small network
  • exceeded/

insufficient coverage area

  • high/medium/low

security restrictions

  • avoid

interoperability

  • where

(administrative area)

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Example : contexts according to different levels of approximation

Metadata Element Level of Approximation Contexts Location Lat 40°26'North Long 3°42'West Data location Node location Network coverage area Administrative area Sensing Context Node Context Network Context Organisational Context

Ref : D. Ballari, M.Wachowicz, M.A.M. Callejo“Metadata behind the Interoperability of Wireless Sensor Networks”,Sensors, pp. 3635~3651 2009,

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Discussions

  • More Issues in Data Management?