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Marco Cattani, m.cattani@tugraz.at, +43 316 8736910
Inffeldgasse 16, 8010 Graz, Austria

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Latest publications

Staffetta: Smart Duty-Cycling for Opportunistic Data Collection
Marco Cattani, Andreas Loukas, Marco Zimmerling, Marco Zuniga, Koen Langendoen (SenSys 2016)
Leveraging Proximity Sensing to Mine the Behavior of Museum Visitors
Claudio Martella, Armando Miraglia, Marco Cattani, Maarten van Steen (PerCom 2016)
Best paper runner-up
Graph Scale-Space Theory for Distributed Peak and Pit Identification
Andres Loukas, Marco Cattani, Marco Zuniga, Jie Gao (IPSN 2015)
Lightweight neighborhood cardinality estimation in dynamic wireless networks
Marco Cattani, Marco Zuniga, Andres Loukas, Koen Langendoen (IPSN 2014)
Best paper runner-up
SOFA: Communication in Extreme Wireless Sensor Networks
Marco Cattani, Marco Zuniga, Matthias Woehrle, Koen Langendoen (EWSN 2014)
Poster Abstract: Neighborhood Cardinality Estimation in Extreme Wireless Sensor Networks
Marco Cattani, Marco Zuniga, Andres Loukas, Koen langendoen (EWSN 2014)
Best poster runner-up
Poster Abstract: Communication in Extreme Wireless Sensor Networks
Marco Cattani, Marco Zuniga, Matthias Woehrle, Koen Langendoen (SenSys 2013)
Think Globally, Act Locally: On the Reshaping of Information Landscapes
Andreas Loukas, Marco Zuniga, Matthias Woehrle, Marco Cattani, Koen Langendoen (IPSN 2013)
Group monitoring in mobile wireless sensor networks
Marco Cattani, Stefan Guna, Gian Pietro Picco (DCOSS 2011)

Peer reviewer for

IEEE/ACM Transactions on Networking
IEEE Transactions on Mobile Computing
ACM Transactions on Embedded Computing Systems

Research projects

Smart Water Management (SWM).  The project aims to develop targeted and robust monitoring and control systems for water distribution networks in China to timely detect and localize water losses due to leaks. In many regions of China Drinking water is a scarce resource. Through developments towards “smart pipe networks”, a reduction of system water losses are achieved.
Extreme Wireless Distributed Systems (EWiDS). In this project, we aim at a better understanding of using wireless, user-centric sensor technology to monitor and manage the behavior of people. Within the EWiDS project I focus on the topics of communication in dense and mobile wireless sensor networks and in-network data aggregation, such as estimating network sizes and densities