"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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Doctoral dissertation's "Lectio Praecursoria"
1. Application-Driven
Data Processing
in Wireless Sensor Networks
Maurizio Bocca
Department of Automation and Systems Technology
Aalto University School of Electrical Engineering, Helsinki, Finland
2. What is a Wireless Sensor Network?
A WSN is a wireless network consisting of
spatially distributed autonomous devices
using sensors and/or actuators to
cooperatively
monitor and/or operate into the environment
Maurizio Bocca – Lectio Praecursoria – 4.11.2011 1
4. The building blocks of a WSN
SENSOR
NODE
limited resources
Maurizio Bocca – Lectio Praecursoria – 4.11.2011 3
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
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. 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
11. Structures need constant care!
SHM aims at accurately assessing the stability of
civil infrastructures
I-35W Mississippi Bridge
1.8.2007
I-35W Mississippi Bridge
31.7.2007
Maurizio Bocca – Lectio Praecursoria – 4.11.2011 10
12. WSNs for SHM: centralized approach
reliable data transfer
NATURAL FREQUENCIES
and DAMPING RATIOS
MODE SHAPES
accurate time synchronization
Maurizio Bocca – Lectio Praecursoria – 4.11.2011 11
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
15. Knowing what is going on so that you can
figure 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. 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.
18. In conclusion, the thesis presents:
• Data processing methods CO-DESIGN IMPROVES
• Protocols and architectures THE SYSTEM PERFORMANCE
optimized for the requirements and characteristics of the
considered application domains
WSNs CAN GREATLY ENHANCE
OUR COMPREHENSION
OF THE SURROUNDING ENVIRONMENT
Thank you!
Maurizio Bocca – Lectio Praecursoria – 4.11.2011 17
Notes de l'éditeur
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.