Sensor Networks (Field Servers and MeBroker) Takuji Kiura Masayuki Hirafuji Aatsushi Yamakawa Seishi Ninomiya National Agricultural Research Center

Field Server

UC Berkley, Smart Dust artDust / TIN-AMEDES Sensor Network Nodes MICA DOT

Sensor Network Nodes NEC Hitachi Mitsubishi Intel NASA

Field Server II (NARC) Case Acryl resin Core Field Server-Engine or PICNIC Sensors Temperature, Humidity, PPFD Soil moisture, Leaf-wetness UV, IR CO 2 Camera, Microscope Data-collection and AI Fieldserver-Agent Networking Wi-Fi AP, Fieldserver-Gateway GRID MetBroker

Multi-functional Airflow in Field Server 1.Cooling 2.Accurate Measurement Assmann's aspiration psychrometer Air-temperature Humidity 3.Sampling Gas (CO 2, NOx, SOx) Insects Microbes Virus Dusts Filter or Sampler

Accuracy

WDS & Wi-Fi Hotspot Hotspot Repeating by WDS (Wireless Distributed System) Cable Conventional Field Servers (Access-point, Continuously work) Solar-energy Driven Field Servers (Client connection, Intermittent work)

Full-Wireless Field Servers Intermittent Drive

Trial Sites of Field Servers

Field Server Model (by NECTEC) 8 channels Store to Compact Flash (up to 1GB) Time interval from 10 sec. to 24 hr. Easy, Cheap Battery backup

Field server-Agent for Data-Collection and Control XML rule-base Rule-base editor on Web Open DB Web

PC-Cluster Field server-Agent Web crawler & controller The Internet Web Server Cellar Cable ADSL VPN router Global IP Private IP FSG Firewall Private network of Field servers VPN:Field Server Gateway

Options for Field Servers Large Solar Panel Multi stack small solar Panel Insect counter Thermal Camera

Field Servers and MetBroker

Applications for MetBroker Rice growth model

MetBlastam Rice Blast Prediction Model Using MetBroker Infective condition

Field Servers linked to MetBroker DB DB DB DB FieldServerDB MetBroker DB DB DB DB FieldServerDB MetBroker DB DB DB DB FieldServerDB MetBroker WDB DB DB MetBroker Weather DB Field Server DB Client APP Weather DB Station Conf. XML Weather Data XML Field Server Data Archive

Demo for Spacial Access of MetBroker Field Servers

Field Server Data Different Type of Sensors, Time Resolution –Described in XML files (w/o standard) Semantic Problems –Sensors are added or removed –Time resolution may be changed. Small data size (1KB~10MB) for each.

MetBroker Adding new databases –writing new DB wrappers –Restarting MetBroker Adding new observation Items –Data Modeling for each item –Writing new data object for each item

System Overview (New MetBroker) Broker Decision-Making Support Services Operational Products Operational Products Simulation Models Simulation Models Detailed Digital Forecast Detailed Digital Forecast Inference Engine DB Wrapper Item Definition OWL Station metadata RDF Metadata database Meteorological databases DB Wrapper 2. Request 3. Request metadata 4. Request data 1. Register

Roles of the RDF/OWL files Description about all the weather stations included in a particular database RDFStation metadata Local vocabulary that is used in each database OWLItem definition All standard weather items Vocabulary to describe weather stations OWLBasic vocabulary ContentFile type Name

New MetBroker Adding new databases –writing Item Definition & Station Metadata Adding new observation Items –Adding new basic vocabraly

Field Servers linked to New MetBroker New MetBroker can integrate Field Server data with other weather database. New MetBroker can integrate other point data (data from other passive sensor networks). RDF/OWL technologies are useful for data integration in a specific and small problem domain i.e. meteorological data integration.

Storage/Application Web Server (Native XML-DB) Field server-Agents Web crawler Remote Controller The Internet Local network of Field servers Agricultural Sensor Grid Data Grid + Sensor Net + Active Database Agent Box Agent Server Rule-base Editor Meta-rule Agent GRID File System (Gfarm?) Metadata Service Ontology registry Local Agent, Storage and MetBroker ToDo Rule-base xml to RDF, OWL converter Separation Metadata service, Ontology registry, and MetBroker OGSA compliant Support XML-DB Data cashing Rule-based data pushing Rule-based data file creation and execution of existing programs etc.

Earth Observation Data Fusion Project (Japan, ) 1.Data Service –Huge Database, Active Database 2.Ontology Registry –Seamless access to an application related data 3.Data Collection 4.Application

Field Servers at Tsukuba Style Festa Field Server WDS connection Wi-Fi HotSpot

Field Servers at Tsukuba Style Festa

Field Servers at Tsukuba Style Festa by Tsukuba University

Field Servers at Tsukuba Style Festa by Panasonic