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Davide Zordan
Davide Zordan
Post doctoral researcher, University of Padova
在 dei.unipd.it 的电子邮件经过验证
标题
引用次数
引用次数
年份
On the performance of lossy compression schemes for energy constrained sensor networking
D Zordan, B Martinez, I Vilajosana, M Rossi
ACM Transactions on Sensor Networks (TOSN) 11 (1), 1-34, 2014
1102014
Boosting the battery life of wearables for health monitoring through the compression of biosignals
M Hooshmand, D Zordan, D Del Testa, E Grisan, M Rossi
IEEE Internet of Things Journal 4 (5), 1647-1662, 2017
1042017
SolarStat: Modeling photovoltaic sources through stochastic Markov processes
M Miozzo, D Zordan, P Dini, M Rossi
2014 IEEE International Energy Conference (ENERGYCON), 688-695, 2014
932014
Modeling and generation of space-time correlated signals for sensor network fields
D Zordan, G Quer, M Zorzi, M Rossi
2011 IEEE Global Telecommunications Conference-GLOBECOM 2011, 1-6, 2011
532011
On the design of temporal compression strategies for energy harvesting sensor networks
D Zordan, T Melodia, M Rossi
IEEE Transactions on Wireless Communications 15 (2), 1336-1352, 2015
412015
When telecommunications networks meet energy grids: cellular networks with energy harvesting and trading capabilities
D Zordan, M Miozzo, P Dini, M Rossi
IEEE Communications Magazine 53 (6), 117-123, 2015
392015
Covariogram-based compressive sensing for environmental wireless sensor networks
M Hooshmand, M Rossi, D Zordan, M Zorzi
IEEE Sensors Journal 16 (6), 1716-1729, 2015
382015
Modeling, simulation and experimentation of droplet-based microfluidic networks
A Biral, D Zordan, A Zanella
IEEE Transactions on Molecular, Biological and Multi-Scale Communications 1 …, 2015
382015
EC-CENTRIC: An energy-and context-centric perspective on IoT systems and protocol design
A Biason, C Pielli, M Rossi, A Zanella, D Zordan, M Kelly, M Zorzi
IEEE Access 5, 6894-6908, 2017
372017
To compress or not to compress: Processing vs transmission tradeoffs for energy constrained sensor networking
D Zordan, B Martinez, I Vilajosana, M Rossi
arXiv preprint arXiv:1206.2129, 2012
262012
SURF: Subject-adaptive unsupervised ECG signal compression for wearable fitness monitors
M Hooshmand, D Zordan, T Melodia, M Rossi
IEEE Access 5, 19517-19535, 2017
192017
Wsn-control: Signal reconstruction through compressive sensing in wireless sensor networks
G Quer, D Zordan, R Masiero, M Zorzi, M Rossi
IEEE Local Computer Network Conference, 921-928, 2010
192010
Underwater acoustic sensors data collection in the robotic vessels as-a-service project
A Signori, F Campagnaro, D Zordan, F Favaro, M Zorzi
OCEANS 2019-Marseille, 1-9, 2019
132019
Evaluating the gap between compressive sensing and distributed source coding in WSN
M Rossi, M Hooshmand, D Zordan, M Zorzi
2015 International Conference on Computing, Networking and Communications …, 2015
122015
On the feasibility of an anti-grounding service with autonomous surface vessels
D Zordan, F Campagnaro, M Zorzi
OCEANS 2019-Marseille, 1-8, 2019
92019
Transmitting information with microfluidic systems
A Biral, D Zordan, A Zanella
2015 IEEE International Conference on Communications (ICC), 1103-1108, 2015
92015
Data Collection in Shallow Fresh Water. Scenarios with Low Cost Underwater Acoustic Modems
F Campagnaro, F Steinmetz, A Signori, D Zordan, BC Renner, M Zorzi
Conference and Exhibition on Underwater Acoustics (UACE), July 2019 …, 2019
72019
Rate-distortion classification for self-tuning IoT networks
D Zordan, M Rossi, M Zorzi
2017 IEEE International Conference on Communications Workshops (ICC …, 2017
72017
Automatic rate-distortion classification for the IoT: Towards signal-adaptive network protocols
D Zordan, R Parada, M Rossi, M Zorzi
GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-7, 2017
52017
Simulating" Macroscopic" Behavior of Droplet-Based Microfluidic Systems
A Biral, D Zordan, A Zanella
2015 IEEE Global Communications Conference (GLOBECOM), 1-7, 2015
52015
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