Davide Zordan
Davide Zordan
Post doctoral researcher, University of Padova
Verified email at dei.unipd.it
Title
Cited by
Cited by
Year
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
952014
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
752014
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
612017
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
462011
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
362015
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
352017
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
322015
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
312015
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
262015
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
222012
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
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
92017
Transmitting information with microfluidic systems
A Biral, D Zordan, A Zanella
2015 IEEE International Conference on Communications (ICC), 1103-1108, 2015
92015
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
82015
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
62019
Rate-distortion classification for self-tuning IoT networks
D Zordan, M Rossi, M Zorzi
2017 IEEE International Conference on Communications Workshops (ICC …, 2017
52017
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
42019
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
42017
On the feasibility of an anti-grounding service with autonomous surface vessels
D Zordan, F Campagnaro, M Zorzi
OCEANS 2019-Marseille, 1-8, 2019
32019
Simulating" Macroscopic" Behavior of Droplet-Based Microfluidic Systems
A Biral, D Zordan, A Zanella
2015 IEEE Global Communications Conference (GLOBECOM), 1-7, 2015
22015
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Articles 1–20