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Mobile Web Services in Health Care and Sensor Networks
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Mobile Web Services in Health Care and Sensor Networks Mobile Web Services in Health Care and Sensor Networks Presentation Transcript

  • 16th FFV Workshop MobileWebServices in Health Care and Sensor Networks FahadAijaz Department of Communication Networks RWTH Aachen University, Germany FFV Workshop, 13.03.2009 Fahad Aijaz, ComNets, RWTH Aachen University
  • Outline • Wireless Sensor Networks – A General Introduction – Problem Statement – Scientific Framework • Service-Oriented Wireless Sensor Networks – Use Cases and Requirements • Mobile Web Services – Types and Interactions • Advanced Mobile Web Service Architecture – Overview – Black-box Architecture – Service Control and Monitoring • Service-Oriented WSN Environments – A Collector Node Scenario – Healthcare Scenario and Requirements – MEDICARE – Measurement of Power Consumption • Future Mobile Web Services Research at ComNets Fahad Aijaz, ComNets, RWTH Aachen University 2
  • Wireless Sensor Networks (WSN) (A General Introduction) • A WSN is a wireless network consists of spatially distributed devices using sensors. • Sensors monitor the physical or environmental conditions at different locations, e.g. – Temperature – Sound – Vibration – Pressure – Motion etc. • Such networks are the key for gathering information in smart environments. • Some application areas are; – Monitoring and Control Systems – Health care – Traffic control – Security – Home automation etc. Image source: http://www.purelink.ca/images/sensor_network_big.gif Fahad Aijaz, ComNets, RWTH Aachen University 3
  • Wireless Sensor Networks (WSN) (Problem Statement) • Typically, a WSN performs distributed network computations to meet its specific Sensor Node needs. • Data received by sensors is processed with Applications Applications limited processing capabilities of a sensor node. • Complex network computations demand high processing power within a sensor node. Applications Applications • This results in high power consumption and affects network performance. Sense/Store Data : Issues: Low processing power, Battery Limited Processing consumption, Network performance : Transmit Fahad Aijaz, ComNets, RWTH Aachen University 4
  • Wireless Sensor Networks (WSN) (Scientific Framework)  Collector nodes introduced in [1] are better Sensor Node equipped in terms of processing power and battery consumption than ordinary sensors. Collector Node  High-valued distributed in-network computations can be achieved by collector nodes‘ collaboration.  Collector nodes represent local neighborhood of sensors to higher hierarchy of WSN.  Collector nodes equipped with Mobile Web Services to perform local computations.  Cooperation among the collector nodes would initiate higher-valued Mobile Web Services for complex distributed in-network computations. Receive Sensor Data  Sense/Store Data Study new fields in the area of Mobile Web : : Services to identify realistic business and Perform Computations Limited Processing Collaboration application scenarios. : : Represents WSN Transmit Scientific Challenges  Network computations in wireless networks. [1] Giridhar, A. Kumar, P.R., Toward a theory  Organization of cooperative collector nodes owning of in-network computation in wireless sensor Mobile Web Services. networks, Communications Magazine, IEEE,  Gain a high-valued network based on Mobile Web Volume 44, Issue 4, p. 98- 107, ISSN: Services. 0163-6804, 2006 Fahad Aijaz, ComNets, RWTH Aachen University 5
  • Service-Oriented Wireless Sensor Networks (Use Cases and Requirements) Long-Lived Service Processes Management Wireless Service Mobile Web Services Sensor Oriented ? Framework Networks Computing Interaction Event Patterns Notifications Service Oriented Wireless Sensor Networks Short-ranged Data Comm. Representation . Req. Req q. . eq Re R Long-ranged Comm. Healthcare | Traffic control | Security | Home automation … Domain Specific Applications Enough? Mobile Web Services Framework Fahad Aijaz, ComNets, RWTH Aachen University 6
  • Mobile Web Services (Types and Interactions) WS Provider WS Consumer Execution Model Consume Mobile Mobile Web Server Web Server (SOAP) entails Mobile Mobile Web Services Web Services Synchronous Asynchronous (Short-lived) (Long-lived) Publish Mobile Synchronous Search Interaction (MSI) (UDDI) (WSDL) Mobile Asynchronous Web Service Interaction (MAI) Broker 1. Request-response 2. Solicit-response derives derives 3. One-way 4. Notification P2P Mobile Web Services WSDL Operations (Transmission Primitives) Fahad Aijaz, ComNets, RWTH Aachen University 7
  • Mobile Web Services (Mobile Synchronous Interaction) Request – Response Operation Services are Immediate service Pros: simple, quick, reliable, widely applied … instantaneous invocation (short-lived) Cons: change management (undo, cancel…), long running tasks, human involvement, blocked client … MOBILE TERMINAL 2 (MT MOBILE TERMINAL 1 (MT 1) 2) Mobile Mobile MobWS MobWS Application Application Proxy Proxy (M1) (M2) MOBILE SYNCHRONOUS REQUEST MOBILE SYNCHRONOUS WEB SERVICES INVOKED WEB SERVICES M2-1 M1-1 SHORT-LIVED BLOCKED INTERNET /NETWOR M2-2 M1-2 K M2-n M1-n RESPONSE DETELP M C O Request-response are transmitted on Requester remains in same network infrastructure a blocked state (e.g. UMTS, GPRS, WLAN …) Fahad Aijaz, ComNets, RWTH Aachen University 8
  • Mobile Web Services (Mobile Asynchronous Interaction) Request – Response AND Solicit – Response Operation Services are not Pros: two-way control, long processes, unblocked client, back-end operations, human instantaneous involvement, change management, reliable … (long-lived) Temporal service Cons: complex, blocked until ACKed, correlation, larger payloads … invocation possible MOBILE TERMINAL 1 (MT 1) MOBILE TERMINAL 2 (MT “Push” Model (Callback) 2) “Pull” Model (Polling) Mobile Mobile Supports MobWS INTERNET / NotificationMobWS One-way AND NETWORK Operation! Application Application Proxy Proxy INFRASTRUCTURES (M1) (M2) MOBILE ASYNCHRONOUS MOBILE ASYNCHRONOUS WEB SERVICES WEB SERVICES INVOKED REQUEST UNRELIABLE! M2-1 BLOCKED M1-1 (no ACKs, no blocking) LONG-LIVED M2-2 M1-2 RESPONSE SOLICIT BLOCKED M2-n M1-n DETELP M C O RESPONSE Support for multiple network infrastructures for service invocation Unblocked client and response (e.g. request UMTS, response WLAN) Fahad Aijaz, ComNets, RWTH Aachen University 9
  • Advanced Mobile Web Services Architecture (General Overview) Asynchronous Communication Architecture Extended Mobile Web Services Framework Creation, Control & Monitoring Factory Context Application Creates Data Instance Observer Asynchronous Service Middleware Asynchronous Service Asynchronous Web Service Access Protocol Instance Notification Services Control (OASIS Standard) and Polling Callback Interaction Mechanisms Monitoring Observer Factory Service Service Consumer Consumer (WS-C) (WS-C) SOAP ASAP ASAP WS-Eventing SOAP Server Service Service WS-Addressing Provider Provider (WS-P) (WS-P) Data Representation WS-C repeatedly WS-C registers with requests WS-P the WS-P for status HTTP UDP TCP SR-UDP Asynchronous until response notifications Data Representation Mobile Web Services is obtained Transport Layer Component Middleware Context Data Context Data SOAP Message Java Object IP Layer De-serialization Client Serialization Service Result Data Result Data SOAP Message Java Object Fahad Aijaz, ComNets, RWTH Aachen University 10
  • Advanced Mobile Web Services Architecture (Black-box Architecture) Asynchronous Mobile Web Services Framework Communication Architecture SOAP Server Asynchronous Request Management Invocation, Mobile Web Service Creation, Control Listener Control and Request ASAP Factory 1 & Monitoring Monitoring Handler Handler Factory Request Creates Instance Instance Observer Observer Listener Response Deployment Asynchronous N Handler Interface Web Service Polling Callback Notification Interaction Mechanisms Service Service Mobile Web Service Consumer Consumer (WS-C) Response (WS-C) Synchronous and Notify Asynchronous Mobile Web Services Service Service Provider Provider  Request Handler processes all incoming requests, but handles only (WS-P) (WS-P) synchronous requests passing the asynchronous requests to ASAP Handler. WS-C repeatedly WS-C registers with requests WS-P the WS-P for status until response notifications  ASAP Handler handles asynchronous requests. is obtained  Asynchronous framework supports both Polling and Callback interaction techniques.  Synchronous and Asynchronous Services are deployed in a similar way by the same Deployment Interface. Fahad Aijaz, ComNets, RWTH Aachen University 11
  • Service-Oriented WSN Environments (1/2) (A Collector Node Scenario) Collector Node (B)   Collector Node (A) Sensors Nodes Shared Service Service Discovery Information Sharing Computing (Synchronous MWS) (Asynchronous MWS Monitoring) Service Collaboration (Asynchronous MWS Control) Thresholds A1 Asynchronous A2 A4 Services A3 (Long-Lived) Service Creation Service Creation S1 Data Representation Synchronous S2 S4 Services S3 (Short-Lived) Network Server Events / Analyze Fahad Aijaz, ComNets, RWTH Aachen University 12
  • Service-Oriented WSN Environments (2/2) (Healthcare Scenario and Requirements - MEDICARE) Sun Small Programmable Object Technology (SunSPOT) Synchronous Services Activity / Mode Sun SPOT Performance Node Specifications: Configuration Equipment Light 180 MHz 32 bit ARM920T core Valves and tubes Oxygen amount RAM/4M Flash 512K 2.4 GHz radio with integrated antenna ..... Heater Monitor Ventilator 3.7V rechargeable 720 mAh lithium-ion battery IEEE 802.15.4 based radio communication Public Key Cryptography (Elliptical Curve Cryptography (ECC)) Door Synchronous Services Sensor Board: 2G/6G 3-axis accelerometer Temperature sensor Environment Asynchronous sensor Light Services tri-color LEDs 8 Room Temperature 2 momentary switches Light Conditions Patient Door Extendable with general purpose I/O and high current output pins! Presence Noise ..... Blood pressure Asynchronous Operating Modes: Heartbeat Services Breathing Run mode: 70ma to 120ma (10.28 to 6 hrs) Health Creation Service Discovery Services’ Classification Composition Doctor’s PC Idle ModeMovement (Shallow sleep): 44ma (16.36 hrs) Pulse Deep Sleep: 32uA (22500 hrs/ 937.5 days/2.6 years) Sun SPOT (Asynchronous Operation) (Synchronous Operation) ..... (Base Station) Fahad Aijaz, ComNets, RWTH Aachen University 13
  • Power Consumption of SunSPOT Nodes Next Generation of Sun SPOTs might turn out to be SOLAR POWERED! Source: Sun Technical Report - TR-2009-178 (February 2009) “Experiments with a Solar-powered Sun SPOT” http:/ research.sun.com/ / techrep/2009/abstract-178.html Switched off LEDs  20 % optimized battery consumption Further optimization is possible! (modes, payload, threads…) Fahad Aijaz, ComNets, RWTH Aachen University 14
  • Future Mobile Web Services Research at ComNets • P2P Service Level Agreements – Negotiations – Active and pending agreements – Per service agreement templates – Service Guarantees – REST and SOA compatible • Service-oriented WSN Integration with IP Multimedia Subsystem (IMS) – IMS Services API (JSR 281) for Java ME – Extended IMS enabled health care prototype • Server-side IMS application • IMS enabled Java ME application – High-valued context-sensitive IMS use case Fahad Aijaz, ComNets, RWTH Aachen University 15
  • Thank you for your attention ! 5 Questions are welcome! Fahad Aijaz, ComNets, RWTH Aachen University 16