The document summarizes a meeting of the Computer Science Research Training Group METRIK (GRK 1324) held on June 19, 2012. METRIK focuses on model-based development of technologies for self-organizing decentralized information systems in disaster management and smart cities. The group has been running research for six years, starting with disaster management and earthquake early warning, and now applying previous findings to smart cities topics. It involves 11 doctoral candidates and makes use of its Humboldt Wireless Lab testbed for wireless sensor network and wireless mesh network experiments.

1. Meeting of the Computer Science DFG Research Training Groups 2012, Schloss Dagstuhl
Research Training Group METRIK
(GRK 1324)
http://metrik.informatik.hu-berlin.de/
Joachim Fischer, Markus Scheidgen
Humboldt Universität zu Berlin 6/19/2012
6/19/2012

2. Modellbasierte
Entwicklung
von Technologien für
selbstorganisierende
dezentrale
Informations-
systeme im
Katastrophen-
management

3. Earthquake
Early Warning Smart Cities
http://www.saferproject.net/
3

4. Research Fields
model driven engineering
experiment infrastructure
distributed data analysis
application
decentralized information systems
self-organizing wireless networks
sensors
phenomenon
workflow management

5. Concrete Research Topics
earth quake early warning
automated experimentation
domain specific languages
cloud computing based analysis
data replication in WMNs
802.11, MIMO, routing, alarming
protocols, threshold cryptography
accelerometer
seismic activity
Petri-net based service composition

6. Markus Scheidgen: Research Training Group METRIK
METRIK’s Chronicle
2006 2007 2008 2009 2010 2011 2012 2013 2014
METRIK I METRIK II
2 post-docs 2 post-docs
11 doctoral candidates
11 doctoral candidates 13 doctoral candidates doctoral candidates
6
Disaster management & Smart Cities
earthquake early warning
Continuous research and application of
Foundational research previous findings
6

7. Markus Scheidgen: Research Training Group METRIK
METRIK’s Chronicle
2006 2007 2008 2009 2010 2011 2012 2013 2014
METRIK I METRIK II
2 post-docs 2 post-docs
11 doctoral candidates
11 doctoral candidates 13 doctoral candidates doctoral candidates
6
Disaster management & Smart Cities
earthquake early warning
Continuous research and application of
Foundational research previous findings
HWL - A testbed for
Experiments with WSN/WMNs
wireless sensor networks (WSN) &
wireless mesh-networks (WMN)
7

8. Markus Scheidgen: Research Training Group METRIK
HWL: Humboldt Wireless Lab
WSNs HWL – A test-bed for HP-WSNs HP-WSNs
data
analysis
G
data
analysis data request results
results
analysis
results
Zubow, Sombrutzki: A Low-cost MIMO Mesh Testbed based on 802.11n, IEEE Wireless Communications and Networking
Conference (WCNC), France, 2012
Scheidgen, Zubow: HWL – A High Performance Wireless Sensor Research Network, IEEE International Conference on Networked
Sensing Systems (INSS), Belgium, 2012 8

9. Markus Scheidgen: Research Training Group METRIK
9
HWL: Hardware

11. ‣120+ Nodes
‣indoor and outdoor
‣dense and sparse
‣short and long links
‣stationary and mobil nodes

12. Markus Scheidgen: Research Training Group METRIK
HWL: Current Research Topics
§ Opportunistic Routing, Network Coding, MIMO
§ Indoor Localization1
§ Mobil Nodes
§ Security for WSN/WMN
§ Model Driven Software Development
§ Experiment Frameworks 2
§ Federation with the test-bed at the Freie
Universität Berlin
1 http://www.youtube.com/watch?v=HJZRfLITxQw
2 http://www.youtube.com/watch?v=c3RmUXvczV0
12

13. Markus Scheidgen: Research Training Group METRIK
HWL: Experimentation with ClickWatch
1 4
design & control experiments draw conclusions
2 3
collect & manage data analyze & visualize
Scheidgen, Zubow, Sombrutzki: ClickWatch - An Experimentation Framework for Communication Network Test-beds, IEEE
Wireless Communications and Networking Conference (WCNC), France, 2012 13

14. Markus Scheidgen: Research Training Group METRIK
Summary
§ 802.11 based
wireless sensor
networks in urban
contexts
§ Six years allow to
apply earlier findings
within the same RTG
§ Hardware and
software
infrastructures that http://www.slideshare.net/markus_scheidgen/research-training-group-metrik
will last
14

15. Markus Scheidgen: Research Training Group METRIK
15
Further Examples for METRIK Work

16. Markus Scheidgen: Research Training Group METRIK
time
Sensors: Traffic Surveillance
amplitude x spectral participation of 5-15 Hz

17. DSL: A Workbench for the Development of Nano-
Markus Scheidgen: Research Training Group METRIK
Structures
Xtext-generated editor for NanoDSL with additional features
Model-to-model Model-to-text
transformation transformations
2d visualization of nanostructures multiple simulation scripts
Wider, Schmidt, Kühnlenz, Fischer: A Model-Driven Workbench for Simulation-Based Development of Optical Nanostructures. In:
2nd International Conference on Computer Modelling and Simulation, Czech Republic, 2011 17

18. Markus Scheidgen: Research Training Group METRIK
18
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Data