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Next step in sensor networks
1. Next Step in Sensor Networks
Design of intelligent systems
Martin van Rijn
2. 2
May 29, 2012
Martin van Rijn
Intelligent Sensor Networks
Intelligente Sensor Netwerken
TNO in de world
Coventry
Shanghai
Brussel
Delft Seoul
Livonia Boston
Tokyo
Yokohama
Nogent s/ Frankfurt Qatar
Marne Stuttgart
Bangalore Wheelers Hill
3. 3
May 29, 2012
Martin van Rijn
Intelligent Sensor Networks
Intelligente Sensor Netwerken
TNO in the Netherlands Den Helder Groningen
Soesterberg
Hoofddorp
Leiden
Rijswijk
Enschede
Den Haag
Apeldoorn
Helmond
Delft
Utrecht
Zeist
Eindhoven
4. 4
May 29, 2012
Martin van Rijn
Intelligent Sensor Networks
Intelligente Sensor Netwerken
TNO Activities
Ontwikkelen
Kennis- Kennis- Kennis-
fundamentele
ontwikkeling toepassing exploitatie
kennis
Samen Samen Samen Verankeren
met universiteiten met partners met klanten in de markt
5. 5
May 29, 2012
Martin van Rijn
Intelligent Sensor Networks
Intelligente Sensor Netwerken
TNO Theme’s
6. 6
May 29, 2012
Martin van Rijn
Intelligent Sensor Networks
TNO and Intelligent Sensor Network Research
Adaptive Multi Sensor Networks
Enabling Technology / 2011 – 2014
lange termijn onderzoek (>3 jaar)
7. 7
May 29, 2012
Martin van Rijn
Intelligent Sensor Networks
Everything get’s connected…
8. 8
May 29, 2012
Martin van Rijn
Intelligent Sensor Networks
Everything get’s connected…
9. 9
May 29, 2012
Martin van Rijn
Intelligent Sensor Networks
Everything get’s connected…
10. 10
May 29, 2012
Martin van Rijn
Intelligent Sensor Networks
Everything get’s
connected…
11. 11
May 29, 2012
Martin van Rijn
Intelligent Sensor Networks
The proof of the pudding is in the eating
12. 12
May 29, 2012
Martin van Rijn
Intelligent Sensor Networks
The proof of the pudding is in the eating
13. 13
May 29, 2012
Martin van Rijn
Intelligent Sensor Networks
The proof of the pudding is in the eating
14. 14
May 29, 2012
Martin van Rijn
Intelligent Sensor Networks
The proof of the pudding is in the eating
15. 15
May 29, 2012
Martin van Rijn
Intelligent Sensor Networks
Design Challenges
Integrating different research domains
System properties
From design-time to run-time optimization
16. 16
May 29, 2012
Martin van Rijn
Intelligent Sensor Networks
Self-Adaptive Sensor Fusion
Design Challenges
Self-Organizing
Learning
Cognitive
Intelligent
Systems Complex Systems
Dynamic
Multi Agent Systems
Cyber
Intelligent
Robust
Hierarchical Cyber Physical
Complex Systems
Ubiquitous
Hybrid
Agile
Autonomous
Network enabled
Swarming
Big Data (Wireless)
Sensor Networks
17. 17
May 29, 2012
Martin van Rijn
Intelligent Sensor Networks
Design Challenges
System scalability in users, time, sensors and functions
System robustness despite changing quality and availability of
sensor observations, communication, computation and energy
System adaptivity: optimization of information generation processes
regarding the valid information need
Adaptive
Scalable Robust
18. 18
May 29, 2012
Martin van Rijn
Intelligent Sensor Networks
Design Challenges
From design-time optimization….
System
Element Pre defined
required results
Element
Element
To run-time optimization
System
Best possible
Element results given the
Element valid situation*
Element
*Situation = System + Environment
19. 19
May 29, 2012
Martin van Rijn
Intelligent Sensor Networks
Design Approach
Friendly Environment Friendly
Friendly
System
System Neutral Environment
Neutral
Neutral
System
System
The System
Hostile Environment Asymmetric Hostile
Symmetric Hostile
Symmetric Hostile Asymmetric Hostile
System
System
System System
20. 20
May 29, 2012
Martin van Rijn
Intelligent Sensor Networks
Design Approach
Three basic steps in design of an intelligent system:
System model, functional components
Information hierarchy and cardinality
System evaluation and optimization (run-time)
21. 21
May 29, 2012
Martin van Rijn
Intelligent Sensor Networks
Design Approach
Sensing is intimately
related with acting
22. 22
May 29, 2012
Martin van Rijn
Intelligent Sensor Networks
Design Approach
• Reaction time,
• Spatial distribution or
• Information abstraction (JDL)
Hierarchy
0
23. 23
May 29, 2012
Martin van Rijn
Intelligent Sensor Networks
Evaluation / optimization processes
Design Approach
Evaluation of added value:
Reward = Value – Cost
Absolute:
R ≥ 0 then action is executed
(sensing as well as acting)
Relative:
R1 > R2
R of action 1 is higher
then R of action 2 so
action 1 is executed
Or
V/C - Optimizing Value
per Cost Unit. Action with
highest Value per Cost Unit
is executed
