Doctoral dissertation's "Lectio Praecursoria"

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"Lectio Praecursoria" of the doctoral dissertation entitled "Application-Driven Data Processing in Wireless Sensor Networks" at Aalto University School of Electrical Engineering, Helsinki, Finland

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  • In conclusion, the thesis presents novel data processing methods, both centralized and distributed, and protocols and architectures optimized for the requirements and characteristics of the considered application domains. The development of these aspects is not carried out separately. Instead, the thesis stresses the importance of an optimal co-design in order to improve the overall system performanceThe results presented in the thesis demonstrate that WSNs can be applied in a wide range of applications, enhancing our comprehension of the phenomena happening in the surrounding environment.
  • Doctoral dissertation's "Lectio Praecursoria"

    1. 1. Application-Driven Data Processing in Wireless Sensor NetworksMaurizio BoccaDepartment of Automation and Systems TechnologyAalto University School of Electrical Engineering, Helsinki, Finland
    2. 2. What is a Wireless Sensor Network? A WSN is a wireless network consisting ofspatially distributed autonomous devices using sensors and/or actuators to cooperativelymonitor and/or operate into the environment Maurizio Bocca – Lectio Praecursoria – 4.11.2011 1
    3. 3. WSNs architecture INTERNET Maurizio Bocca – Lectio Praecursoria – 4.11.2011 2
    4. 4. The building blocks of a WSN SENSOR NODE limited resources Maurizio Bocca – Lectio Praecursoria – 4.11.2011 3
    5. 5. Compared to wired systems, WSNs are: Less expensive (no cabling, reduced maintenance) Easier to be installed (nodes in large numbers, in critical locations) More robust to failures and harsh environmental conditions Maurizio Bocca – Lectio Praecursoria – 4.11.2011 4
    6. 6. Maurizio Bocca – Lectio Praecursoria – 4.11.2011 5
    7. 7. Structural Health MonitoringWirelessAutomation Indoor Situation Awareness Maurizio Bocca – Lectio Praecursoria – 4.11.2011 6
    8. 8. Human Adaptive Mechatronics in wireless automation• HAM aims at improving the performance of human-machine systems:  by adapting to the individual characteristics of the human operator  by providing assistance to improve the execution of the tasks• Human operator ≈ controller• Wireless communications introduce random time delays INSTABILITY Maurizio Bocca – Lectio Praecursoria – 4.11.2011 7
    9. 9. Wireless Joystick Control System  Filter bad actions taken by the human operator  Smoothen the control commands to minimize load swinging……also in the case of packet losses Maurizio Bocca – Lectio Praecursoria – 4.11.2011 8
    10. 10. Structural Health MonitoringWirelessAutomation Indoor Situation Awareness Maurizio Bocca – Lectio Praecursoria – 4.11.2011 9
    11. 11. Structures need constant care!SHM aims at accurately assessing the stability ofcivil infrastructures I-35W Mississippi Bridge 1.8.2007 I-35W Mississippi Bridge 31.7.2007 Maurizio Bocca – Lectio Praecursoria – 4.11.2011 10
    12. 12. WSNs for SHM: centralized approachreliable data transfer NATURAL FREQUENCIES and DAMPING RATIOSMODE SHAPES accurate time synchronization Maurizio Bocca – Lectio Praecursoria – 4.11.2011 11
    13. 13. WSNs for SHM: distributed approach DAMAGE DETECTION and LOCALIZATION REDUCED LATENCY and POWER CONSUMPTION limited computational resources Maurizio Bocca – Lectio Praecursoria – 4.11.2011 12
    14. 14. Structural Health MonitoringWirelessAutomation Indoor Situation Awareness Maurizio Bocca – Lectio Praecursoria – 4.11.2011 13
    15. 15. Knowing what is going on so that you canfigure out what to do next• Perception of the elements in the environment• Comprehension of their meaning• Projection of their status in the near future DECISION MAKING ACTION! Maurizio Bocca – Lectio Praecursoria – 4.11.2011 14
    16. 16. From “Helsingin Sanomat” Speaker identification 8.11.2008• Sensor nodes limitations:  Sampling frequency  Length of the signals  Low Signal-to-Noise ratio Maurizio Bocca – Lectio Praecursoria – 4.11.2011 15
    17. 17. In conclusion, the thesis presents:• Data processing methods CO-DESIGN IMPROVES• Protocols and architectures THE SYSTEM PERFORMANCEoptimized for the requirements and characteristics of theconsidered application domains WSNs CAN GREATLY ENHANCE OUR COMPREHENSION OF THE SURROUNDING ENVIRONMENT Thank you! Maurizio Bocca – Lectio Praecursoria – 4.11.2011 17

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