Middleware support for Patient Monitoring System over Wireless Sensor Networks - PowerPoint PPT Presentation

1 / 10
About This Presentation
Title:

Middleware support for Patient Monitoring System over Wireless Sensor Networks

Description:

MICAz mobile mote. software: OS: TinyOS and NesC. Wireless standard: IEEE 802.15.4. features: ... Sample, Filter, and Preprocess the vital sign data, for ... – PowerPoint PPT presentation

Number of Views:478
Avg rating:3.0/5.0
Slides: 11
Provided by: vanetsVus
Category:

less

Transcript and Presenter's Notes

Title: Middleware support for Patient Monitoring System over Wireless Sensor Networks


1
Middleware support forPatient Monitoring System
over Wireless Sensor Networks
  • Shanshan Jiang
  • April 26, 2007

2
Heterogeneous Devices in Patient Monitoring
System (1/3)
  • Multi-tiered Infrastructure, with heterogeneous
    devices
  • Lightweight wearable sensors
  • More powerful stationary video sensors/gateways
  • Most powerful mobile content servers
  • Lower layer Wearable Sensor
  • hardware
  • MICAz mobile mote
  • software
  • OS TinyOS and NesC
  • Wireless standard IEEE 802.15.4
  • features
  • Wireless Mobile, indoor outdoor
  • Small, lightweight, and wearable low computation
    and communication power small amount of memory
  • functions
  • Sample, Filter, and Preprocess the vital sign
    data, for example, to raise an alert condition
    when vital signs fall outside of normal
    parameters
  • Transmit the vital sign data to Gateway

This level of devices focus on network
communication
3
Heterogeneous Devices in Patient Monitoring
System (2/3)
  • Middle layer Video Sensor/Gateway
  • hardware
  • Stargate single board computer
  • software
  • OS Embedded Linux
  • Wireless standard IEEE 802.11
  • features
  • Wireless Stationary, indoor
  • Relatively higher computation and communication
    power larger amount of memory
  • functions
  • Sample, Filter, and Preprocess the video data
  • Also works as a Gateway Route, Relay, and
    Transmit (multiple hops) the video vital sign
    data to Mobile Content Servers

This level of devices focus on network
communication
4
Heterogeneous Devices in Patient Monitoring
System (3/3)
  • Upper layer Mobile Content Server help to
    improve the computation and communication
    capabilities for Sensors
  • hardware
  • Laptop
  • software
  • OS Windows Linux
  • Wireless standard IEEE 802.11
  • feature
  • Highest computation and communication power
    largest amount of memory
  • functions
  • Collect, Aggregate, Analyze, and Encrypt the
    video vital sign data (Build Service Components
    for each of them)
  • Other Devices Database Server, Web Server,
    Display Client not be considered here

This level of devices focus on distributed object
computing
5
WSN Characteristics Middleware Capabilities
  • WSN characteristics
  • Inherent distribution
  • Inherent mobility
  • Inherent dynamics
  • Resource limitations
  • Middleware Capabilities
  • Scalability
  • Reusability
  • Heterogeneity
  • Configurability
  • Extensibility
  • Model-driven Middleware
  • Configure heterogeneous sensors in terms of
    supported technique, power, location (mobile
    indoors outdoors or stationary indoors),
    functional selection
  • Configure mobile service components, e.g., for
    encryption component configure encryption levels
    algorithms

WSN Characteristics encourage the use of
Middleware
6
Middleware Limitations for WSNs and Solutions
(1/2)
  • Limited power and resources traditional
    distributed middleware (e.g., CORBA, CCM) is
    normally heavyweight in terms of memory and
    computation requirements, and therefore
    unsuitable for WSNs with scarce energy and
    processing resources
  • Solutions
  • No middleware for Wearable sensor
  • ACE for Video sensors/Gateways To build robust,
    efficient, extensible concurrent networked
    applications
  • Communication Design
  • Concurrency Design
  • Lightweight CCM (CIAO/TAO) for Mobile Content
    server To build service components
  • Interface Component Design
  • Component Implementation
  • Component Packaging Assembly Deployment
  • Model-Integrated Computing (CoSMIC) for automatic
    system configuration

Differentiate middleware techniques for different
levels of devices
7
Middleware Limitations for WSNs and Solutions
(2/2)
  • Mobile and dynamic network topology traditional
    distributed middleware (e.g., CORBA, CCM) hides
    the location of remote objects or nodes, and
    therefore unsuitable for WSNs with mobile
    wireless network infrastructure
  • Solutions
  • Dynamic service discovery
  • Wireless routing broadcasting

8
System Architecture
Service Component Deployment and Configuration
Windows or Linux CoSMIC
Mobile Content Server Laptops
Service (Un)Registration
Dynamic Service Discovery
Data Collection Service Component
Data Aggregation Service Component
Data Analyzing Service Component
Data Encryption Service Component
Windows or Linux CIAO/TAO
Working as a Gateway Routing, Relaying, and
Transmitting Video Vital Sign Data to Mobile
Content Servers
Video Sensor /Gateway Stargate
Routing Table Maintenance
Sensor (Un)Registration
Dynamic Sensor Discovery
Video Data Sampling
Video Data Filtering
Video Data Preprocessing
Embedded Linux ACE
Vital Sign Data Sampling
Vital Sign Data Filtering
Vital Sign Data Preprocessing
Vital Sign Data Transmitting to Gateway
Wearable Sensor MICAz
TinyOS NesC
Software
Hardware Sensors
9
Related Health Care Projects
  • Quality of Life Technology (QoLT) Center (CMU)
  • http//www.qolt.org/
  • New project, no paper yet
  • Wireless Sensor Networks for Medical Care
    (Harvard)
  • http//www.eecs.harvard.edu/mdw/proj/codeblue/
  • See related papers
  • Wireless sensor network for smart healthcare
    (AlarmNet) (Virginia)
  • http//www.cs.virginia.edu/wsn/medical/
  • See related papers
  • Health research Innovation
  • http//www.intel.com/research/prohealth/

10
Related Middleware/SOA Research for Sensor
Networks
  • Related Projects
  • http//www.ece.arizona.edu/hpdc/projects/lawn/
  • http//www.futurehealth.rochester.edu/milan/pubs.h
    tml
  • http//mobilab.wustl.edu/projects/agilla/
  • Related Papers
  • http//ceng.usc.edu/bkrishna/research/papers/YuKr
    ishnamachariPrasanna_middleware.pdf
  • http//csdl2.computer.org/comp/mags/ds/2003/05/o50
    03.pdf
  • http//www.futurehealth.rochester.edu/milan/IEEENe
    twork03.pdf
  • http//portal.acm.org/citation.cfm?id1101142dla
    cmcollCFID15151515CFTOKEN6184618
    (Middleware Design for Integration of Sensor
    Mobile Devices)
  • http//www.cs.rpi.edu/brancj/Sentire_PERCOMW_2005
    .pdf
  • http//portal.acm.org/citation.cfm?id643550.64355
    6dlGUIDEdlACMidx643550partperiodicalWantT
    ypeperiodicaltitleACM20SIGMOBILE20Mobile20Co
    mputing20and20Communications20Review
    (Middleware challenges for wireless sensor
    networks )
  • http//ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb
    er944004 (Sensor information networking
    architecture and applications)
  • http//ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb
    er1265829
  • http//www.simondobson.org/files/personal/dict/sof
    tcopy/ICOST-06.pdf (Sensor Fusion-based
    middleware for assisted living)
  • http//ieeexplore.ieee.org/xpls/abs_all.jsp?arnumb
    er1251166isnumber28008 (Irisnet an
    architecture for a worldwide sensor web)
Write a Comment
User Comments (0)
About PowerShow.com