Slide 1 - WASP by wuxiangyu


									                                                                    Wirelessly Accessible Sensor Populations (WASP)
                                                                             Deployment and enterprise integration of energy-efficient wireless sensor networks

           • Delivering cost-efficient infrastructure facilitating WSN deployment and application-driven optimization
           • Bridging the gap between academic research and industrial needs
           • Validating WASP technologies e.g. in integrated test beds for selected target applications

                                                          Node hardware
                                                                                                                                                                                                                       Target applications
    State-of-the-art HW
    •    e.g. BSN platform from ICL
         for the test-bed evaluation                                                                                 Network protocols
    Advanced HW
    •    Explore energy-efficient                                                                                                                             WSN services
         ReISC microprocessor &                                                                                                                                                                                                                        Herd health
         application processor (to                                                                                                                                                                                                                   Integration test bed
         boost node-level                                                                                                                                                                                                                                at WUR (NL)
         computing power for
         biomedical applications)
    •    Building FPGA based
         functional prototype

                                                                                                                                                                                                                                                        Elderly care
                                                                                                                                                             IP                                                                                       Integration test bed
                                                                                                                                                                                                                                                          at ICL (UK)

                                                         Node software

SW portability
•       e.g. WASP OS API, MAC,
        code generation support
Low-power operation                                                                                          Two X-optimized network stacks                                                                                                              Traffic
•       Extra-functional framework                                                                           •       Allowing trade-offs between QoS and
        for (heavy) duty-cycling                                                                                     energy-efficiency                      Access WSN through                                                                         Management
                                                                                                             •       Link-level security                    web-based services
                                                                                                             Novel P/S interaction model                    •For maintenance, programming,
                                                                                                             •       Built upon Content and Context Based   application, gateway, and enterprise
                                                                                                                     Routing (CCBR)                         integration
                                                                                                                                                            •Application-level security

         Two discussion examples:
               TrawMAC for energy-efficient support of CCBR-based publish-                                                                                        NanoSD for efficient service discovery
                subscribe interaction in a mobile environment                                                                                                                                         What this
                                                                       Simulation Results -- Herd Control Scenario 1                                                                                  network is
                                                                                                                                                                                                     capable of?
                  Total Network Energy Consumption [J]

                                                                                                                      CCBR + TrawMAC
                                                                                                                      CCBR + IEEE802.15.4
                                                         4000                                                                                                                     It can measure...                                      nanoSD
                                                                                                                                                                                  ... in the room:
                                                         3000                                                                                                                       Sensors.Ambient.Temperature
                                                                                                                                                                                  ... on patient no. 1                           nanoIB
                                                                                                                                                                                                                                                Generates the
                                                                                                                                                                                    Sensors.Body.Medical.SpO2                                  communication
                                                                                                                                                                                                                            information base
                                                                                                                                                                                    Sensors.Body.Medical.Temperature                             messages
                                                         2000                                     947.9J                                                                          ... on patient no. 2

                                                         1000                                 526.9J                                                             Features
                                                                                                                                                                 - Low memory usage
                                                           0                         167.0J
                                                         100                                                                                                     - Minimizes traffic overhead by using compression schemes
                                                                                                                                         2                       - Reduces on-node processing overhead
                                                                        80               332.4J                             10
                                                                                                                              1                                  - Manages different kind of service discovery teschniques
                                                                                                            10                                                   - Node Discovery
                                                                                      60          -1
                                  Successful Delivery Ratio [%]                               10                                                                 - Supports multiple simultaneous service discovery sessions
                                                                                                                 Duty Cycle [%]
                                                                                                                                                                 - Bridges the informational gap between WSN and backend system
                                                         Simulated energy comparison for a network of 3 sinks and 20 nodes,
                                                         moving at an average speed of 0.8m/s and generating data at 0.1Hz                                       - Changes in the status of the service availability

         Outcomes: Technologies {components, stacks & tools}, trade-offs & best practices, training material, SME workshops

                                                                                                             EU grant: IST-034963         Duration: Sep 2006 – Aug 2010
                                                                                                       Project coordinator: Philips Research (
                                                                                                                        Project website:

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