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Service Oriented Sensor Web: NOSA Approach Rajkumar Buyya and Xingchen Chu Grid Computing and Distributed Systems (GRIDS) Laboratory Dept. of Computer Science and Software Engineering The University of Melbourne, Australia www.gridbus.org
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Service Oriented Sensor Web: NOSA Approach Rajkumar Buyya and Xingchen Chu Grid Computing and Distributed Systems (GRIDS) Laboratory Dept. of Computer.

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Page 1: Service Oriented Sensor Web: NOSA Approach Rajkumar Buyya and Xingchen Chu Grid Computing and Distributed Systems (GRIDS) Laboratory Dept. of Computer.

Service Oriented Sensor Web: NOSA Approach

Rajkumar Buyya and Xingchen ChuGrid Computing and Distributed Systems (GRIDS) LaboratoryDept. of Computer Science and Software EngineeringThe University of Melbourne, Australia

www.gridbus.org

Page 2: Service Oriented Sensor Web: NOSA Approach Rajkumar Buyya and Xingchen Chu Grid Computing and Distributed Systems (GRIDS) Laboratory Dept. of Computer.

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Outline

Introduction Definition, vision..

Sensor Web Standards OGC Sensor Web Enablement

NOSA: A Service-Oriented Senor Web Implementation of NOSA Core Services Remarks and Future Work

Page 3: Service Oriented Sensor Web: NOSA Approach Rajkumar Buyya and Xingchen Chu Grid Computing and Distributed Systems (GRIDS) Laboratory Dept. of Computer.

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What is Sensor Web?

A paradigm for connecting Physical World with the Computer World!

An emerging trend which makes various types of web-resident sensors, instruments, image devices, and repositories of sensor data, discoverable, accessible, and controllable via World Wide Web.

Page 4: Service Oriented Sensor Web: NOSA Approach Rajkumar Buyya and Xingchen Chu Grid Computing and Distributed Systems (GRIDS) Laboratory Dept. of Computer.

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Vision of Sensor Web

Pollution Detection

Computer Grid

Instrument

Weather Forecast

Tsunami Detection

Researcher

Collaborators

Software, Model, Workflow

Sensor Nets

Historical Data

Page 5: Service Oriented Sensor Web: NOSA Approach Rajkumar Buyya and Xingchen Chu Grid Computing and Distributed Systems (GRIDS) Laboratory Dept. of Computer.

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Why do we need it?

Traditional Sensor Applications: Hard to develop and deploy Hard to reuse No global resource discovery and sharing mechanism No standard

SensorWeb overcomes the above limitations and aims to:

Enable resource discovery and resource sharing Provide reliable and easy-to-use services to end-users Provide infrastructure and middleware support Provide the standard to represent, access and control

resources

Page 6: Service Oriented Sensor Web: NOSA Approach Rajkumar Buyya and Xingchen Chu Grid Computing and Distributed Systems (GRIDS) Laboratory Dept. of Computer.

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Sensor Web: Build on Standards

It is composed of services Heavily rely on SOA (Service Oriented Architecture)

It is composed of standards Based on SWE (Sensor Web enablement)

Communication Protocol XML and SOAP (Simple Object Access Protocol)

Page 7: Service Oriented Sensor Web: NOSA Approach Rajkumar Buyya and Xingchen Chu Grid Computing and Distributed Systems (GRIDS) Laboratory Dept. of Computer.

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Sensor Web Standards

Without standards Interoperability is hard to achieve Lack of semantics for sensors (hard to build global registry) Lack of uniform data representation (Information is tightly coupled with

specific applications) Restrict the ability of mining and analyzing the information

SWE (Sensor Web Enablement) Standards Proposed by Open Geospatial Consortium (OGC) Five specifications

Two XML data specification SensorML(Sensor Model Language) O&M (Observation and Measurement)

Three behavior specification SCS (Sensor Collection Service) SPS (Sensor Planning Service) WNS (Web Notification Service)

Page 8: Service Oriented Sensor Web: NOSA Approach Rajkumar Buyya and Xingchen Chu Grid Computing and Distributed Systems (GRIDS) Laboratory Dept. of Computer.

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How do they work?

SPSWNS

Client

Registry

Send Notification

Search Available Services

Request Data Encoded in

SWE Format

User Registration

Data Encoded in O&M or SensorML

Real World Sensor and Sensor Applications

Temperature

SensorMLDescriptionOf Sensors

ImagesPlatform

Sensor

SCS

Page 9: Service Oriented Sensor Web: NOSA Approach Rajkumar Buyya and Xingchen Chu Grid Computing and Distributed Systems (GRIDS) Laboratory Dept. of Computer.

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SensorML

A XML language defined by XML Schema Describes sensor and sensor platform Provides various data “views” to both human

and computers Key component for enabling autonomous and

intelligent sensor webs. Enables resource discovery

Page 10: Service Oriented Sensor Web: NOSA Approach Rajkumar Buyya and Xingchen Chu Grid Computing and Distributed Systems (GRIDS) Laboratory Dept. of Computer.

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SensorML (cont.)

Can be used outside SWE framework Enable long-term archive of sensor data to be reprocessed

and refined Allow software system to process ,analyze and perform a

visual fusion of multiple sensors

Page 11: Service Oriented Sensor Web: NOSA Approach Rajkumar Buyya and Xingchen Chu Grid Computing and Distributed Systems (GRIDS) Laboratory Dept. of Computer.

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O&M (Observation and Measurement)

Another XML language defined by XML Schema

Defines applicability of web-based sensors Defines terms used for measurements Used by Sensor Collection Service and

related components

Page 12: Service Oriented Sensor Web: NOSA Approach Rajkumar Buyya and Xingchen Chu Grid Computing and Distributed Systems (GRIDS) Laboratory Dept. of Computer.

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O&M Data Structure (cont.)

Page 13: Service Oriented Sensor Web: NOSA Approach Rajkumar Buyya and Xingchen Chu Grid Computing and Distributed Systems (GRIDS) Laboratory Dept. of Computer.

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Sensor Collection Service

Most important Service Fetch observation data from sensors or

collections of sensors Acts as agent between a client and

resources A resource may be either observation repository or

real-time sensor channel

Page 14: Service Oriented Sensor Web: NOSA Approach Rajkumar Buyya and Xingchen Chu Grid Computing and Distributed Systems (GRIDS) Laboratory Dept. of Computer.

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Sensor Planning Service

A service to identify, user and manage sensors or sensor platforms

Accept clients’ collection request as a plan

Acts as a coordinator to evaluate the feasibility of a plan and manage its submission

Page 15: Service Oriented Sensor Web: NOSA Approach Rajkumar Buyya and Xingchen Chu Grid Computing and Distributed Systems (GRIDS) Laboratory Dept. of Computer.

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Web Notification Service

A service providing asynchronous messaging mechanism

Sending and receiving notifications are the major responsibility

Make use of various communication protocol HTTP, Email, SMS, Instant Message, Phone Call,

letter or fax User management functionality such as

user registration

Page 16: Service Oriented Sensor Web: NOSA Approach Rajkumar Buyya and Xingchen Chu Grid Computing and Distributed Systems (GRIDS) Laboratory Dept. of Computer.

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NOSA: A Service-Oriented Sensor Web

NOSA (NICTA Open Sensor Web Architecture) Complete SWE compliant architecture Further extends SWE Provides an interactive development environment, an

open and standard-compliant Sensor Web services middleware and a coordination language to support development of various sensor applications

Page 17: Service Oriented Sensor Web: NOSA Approach Rajkumar Buyya and Xingchen Chu Grid Computing and Distributed Systems (GRIDS) Laboratory Dept. of Computer.

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NOSA Architecture

Sensor1 Sensor2 Sensor3 Sensor4 SensorN….

NICTOR Sensor Field

iModel+Encoding:1. SensorML

2. Observation & Measurements

SensorDirectory Services

SensorData Grid Services

SensorGridProcessing Services

Sensor PlanningServices

Sensor Notification

Services

SensorCollection/

ObservationServices

Sensor Coordination

Services

Sensor Programming Framework (APIs, Visual Tools)

Water Information

Network

Barrier Reef Observation

Network

SecureAustralia Network ….

ZigBee/IEEE 802.15.4 protocols

SensorWebSimulation

or Emulation

Safe Transportation

andRoads

Tsunami Detection Network

Actuator1 Actuator2 Actuator3 ActuatorM….

SensorConfiguration

Services

Faulty Sensor Data Correction &

Management Services

Third Party Tools

….

Pollution MonitoringNetwork

Sensor1 Sensor2 Sensor3 Sensor4 SensorN….

NICTOR Sensor Field

iModel+Encoding:1. SensorML

2. Observation & Measurements

SensorDirectory Services

SensorData Grid Services

SensorGridProcessing Services

Sensor PlanningServices

Sensor Notification

Services

SensorCollection/

ObservationServices

Sensor Coordination

Services

Sensor Programming Framework (APIs, Visual Tools)

Water Information

Network

Barrier Reef Observation

Network

SecureAustralia Network ….

ZigBee/IEEE 802.15.4 protocols

SensorWebSimulation

or Emulation

Safe Transportation

andRoads

Tsunami Detection Network

Actuator1 Actuator2 Actuator3 ActuatorM….

SensorConfiguration

Services

Faulty Sensor Data Correction &

Management Services

Third Party Tools

….

Pollution MonitoringNetwork

ApplicationsLayer

ApplicationDevelopmentLayer

ApplicationServicesLayer

Sensor FabricSimulationEnvironment

Page 18: Service Oriented Sensor Web: NOSA Approach Rajkumar Buyya and Xingchen Chu Grid Computing and Distributed Systems (GRIDS) Laboratory Dept. of Computer.

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Layered Architecture

Sensor Fabric Layer Lowest layer related to either real sensor devices or sensor

simulator/emulator Application Service Layer

Provides core services to upper layer Application Development Layer

Tools for sensor development and high-level services Application Layer

Various Sensor Applications

Page 19: Service Oriented Sensor Web: NOSA Approach Rajkumar Buyya and Xingchen Chu Grid Computing and Distributed Systems (GRIDS) Laboratory Dept. of Computer.

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Core Services

Contains the core services derived from SWE, such as SCS, SPS and WNS

Sensor Directory Service provides the capability of storing and searching services and

resources Sensor Coordination Service

enables the interaction between groups of sensors monitoring different kinds of events

Sensor Data Grid Service provides and maintains the replications of large amount of sensor data

SensorGrid Processing Service collects the sensor data and processes them utilizing grid facilities

Design issues to consider: Security, concurrency , transaction, maintainability, performance,

scalability and reusability

Page 20: Service Oriented Sensor Web: NOSA Approach Rajkumar Buyya and Xingchen Chu Grid Computing and Distributed Systems (GRIDS) Laboratory Dept. of Computer.

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Core Services Implementation

Reference implementation of SWE core services

Support both auto-sending and query mode for sensor applications

Support real time data , simulation and repository access

Support TinyOS and TinyDB

Page 21: Service Oriented Sensor Web: NOSA Approach Rajkumar Buyya and Xingchen Chu Grid Computing and Distributed Systems (GRIDS) Laboratory Dept. of Computer.

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Design Overview

Sensor Layer

Service Layer

Application Layer

Sensor Operating System

Physical Layer

Sensor Application

Sensor Application

Sensor Collection Service

Sensor Planning Service

Sensor Development Tools Third Party Tools

High Level Application

High Level Application

XML Messages

Web Notification Service

Sensor Repository Service

Information Model&Encoding

Sensor

Simulator

Emulator

sensors

Sensor Data & Messages

Page 22: Service Oriented Sensor Web: NOSA Approach Rajkumar Buyya and Xingchen Chu Grid Computing and Distributed Systems (GRIDS) Laboratory Dept. of Computer.

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Background Technologies

Implement SWE services using Java and Web services

Make use XML binding technology to convert XML data and Java Object

Utilize TinyOS library connecting sensor node and simulation environment

Build repository using JDO (Java Data Object)

Page 23: Service Oriented Sensor Web: NOSA Approach Rajkumar Buyya and Xingchen Chu Grid Computing and Distributed Systems (GRIDS) Laboratory Dept. of Computer.

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Services Collaboration

Client send collection request to SPS SPS register user in WNS and check its feasibility SPS schedule the feasible plan and submit to SCS SCS query resources, return observation and WNS will notify the client Clients can collect result from given source from the notification

Sensor PlanningService

3 Planning Request

WSDL

Sensor RegistryService

WS

DL

1 Search available service

2 SPS WSDL AddressWeb Notification

Service

WSDL

WS

DL

4 Reg

ister

Use

r

Sensor CollectionService

WSDL

WS

DL

5 Use

r ID

6 Get Observation

8 Return O&M

9 Colle

ctio

n Dat

a Rea

dy

10 Notify User

Sensor RepositoryService

WSDLW

SD

L

7 Sto

re O

&M

Page 24: Service Oriented Sensor Web: NOSA Approach Rajkumar Buyya and Xingchen Chu Grid Computing and Distributed Systems (GRIDS) Laboratory Dept. of Computer.

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Sensor Collection Service

Support GetObservation operation to fetch observation from various resources Accept user’s query as input parameter Convert query to a SQL-like executable query language Connect to TinyOS, TinyDB and Observation Database

Sen

sor

Co

nn

ecto

r

Tiny DB

Tiny OS

Sensor Collection Service

3 Query for data4 Observation data

WSDL

Sensor RegistryService

WS

DL

1 Search available service

2 SCS WSDL Address

ProxyProxy

DB Connector

O/R Mapping(JDO)

DatabaseSensor Observation Archives

Page 25: Service Oriented Sensor Web: NOSA Approach Rajkumar Buyya and Xingchen Chu Grid Computing and Distributed Systems (GRIDS) Laboratory Dept. of Computer.

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Sensor Planning Service

Support getFeasibility and submitRequest operations Support scheduling both short term and long term plan Provide a rule engine to implement application specific rules

Sensor PlanningService

WSDL

Sensor RegistryService

WS

DL

1 Search available service

2 SPS WSDL Address

3 Make a plan

4 Feasible or not

5 Submit feasible plan

6 Submit Success or fail

Scheduler

Rule Engine

Feasibility check

Schedule request

Sensor Collection

Service

Web Notification

Service

Get Observation

Do Notification

DataCollector

Notify client outcome and

where to collect the data

Store Data

Page 26: Service Oriented Sensor Web: NOSA Approach Rajkumar Buyya and Xingchen Chu Grid Computing and Distributed Systems (GRIDS) Laboratory Dept. of Computer.

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Web Notification Service

Support registerUser and doNotification operations Currenty only support email communication Other protocol can be plugged into the existing system easily

Web Notification Service

WSDL

Sensor RegistryService

WS

DL

Search available service

WNS WSDL Address

Register User

AccountManager

User Registration

MySQL DB

Notification

Notify Registered UserSend

Notification

Communication Protocol

Specify protocol

Page 27: Service Oriented Sensor Web: NOSA Approach Rajkumar Buyya and Xingchen Chu Grid Computing and Distributed Systems (GRIDS) Laboratory Dept. of Computer.

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A Sample Deployment

Hardware Crossbow’s MOTE-KIT4XMICA2 Basic Kit

1 base-station, 3 mica2 motes, and 1 programming board. Test for temperature monitoring application: auto sending

application

Simulation Environment TOSSIM come with TinyOS distribution

Test query based application: TinyDB

Page 28: Service Oriented Sensor Web: NOSA Approach Rajkumar Buyya and Xingchen Chu Grid Computing and Distributed Systems (GRIDS) Laboratory Dept. of Computer.

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A Setup: Supporting both Real and Simulation Environment

SCS

SCS

Sensor Registry Service

Base StationNode #1

Node #2

Client

Database

TOSSIM

TinyDB Simulation

Page 29: Service Oriented Sensor Web: NOSA Approach Rajkumar Buyya and Xingchen Chu Grid Computing and Distributed Systems (GRIDS) Laboratory Dept. of Computer.

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Simulation in TOSSIM

Page 30: Service Oriented Sensor Web: NOSA Approach Rajkumar Buyya and Xingchen Chu Grid Computing and Distributed Systems (GRIDS) Laboratory Dept. of Computer.

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Remarks and Future Work

NOSA is a Web Services based and SWE standard compliant system

Provides an highly pluggable system for developers to reuse and extend according to different requirements

Future Work Support for other sensor operation systems such as MANTIS

and Contiki need to provide Generic Query Engine is required Integration of SensorML is desired to provide resource

discovery Integration of SensorWeb Middleware with Grid Computing

environments

Page 31: Service Oriented Sensor Web: NOSA Approach Rajkumar Buyya and Xingchen Chu Grid Computing and Distributed Systems (GRIDS) Laboratory Dept. of Computer.

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Reference

Xingchen Chu and Rajkumar Buyya, Service Oriented Sensor Web, Sensor Network and Configuration: Fundamentals, Techniques, Platforms, and Experiments, N. P. Mahalik (ed), Springer-Verlag, Germany, 2006.

http://www.gridbus.org/~raj/papers/SensorWebChapter.pdf Chen-Khong Tham and Rajkumar Buyya, SensorGrid

: Integrating Sensor Networks and Grid Computing, CSI Communications, pages 24-29, Vol.29, No.1, ISSN 0970-647X, Computer Society of India (CSI), Mumbai, India, July 2005.

http://www.buyya.com