The SIGNET group


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Prato della Valle

TheĀ SIGNET research team is mainly active on the SIGNal processing and NETworking research challenges, with a solid track record in the area of wireless networking at large, with emphasis on protocol design and performance evaluation for Energy Efficiency, Internet-of-Things, Wireless Sensor Networks, Mobile Networks, Underwater Communications, Wearable Devices and others.


The group counts four faculty members, and a few tens of researchers, with different seniority and nationality, see our people page.

Research Facilities

The research facilities of the lab include the following large-scale testbeds:

  • WiSeWAI: a large-scale Wireless Sensor Network for city-Wide Ambient Intelligence, with more than 300 nodes, which has been in operation for several years.
  • CARMEN: a Cognitive AndRoid MEsh Network testbed, which consists of a few fixed and wireless devices (smartphones and tablets) running the Android OS, with some dedicated software modules for data collection, protocols monitoring, and cognitive cross-layer optimization of devices and protocols.
  • NAUTILUS: a testbed for underwater communication via acoustic links, consisting of several acoustic modems, which are being used for protocol design and experimentation activities related to underwater networks.

Research Projects

The faculty members have participated in many important international research projects, including the very first European project on energy efficiency in sensor networks (EYES, FP5) and the flagship EU project on IoT (IoT-A, FP7).

Department of Information Engineering

The SIGNET lab is within theĀ Department of Information Engineering (DEI), which counts more than 90 faculty members and approximately 4000 undergraduate and postgraduate students, and more than 90 PhD students and post-doctoral fellows doing research in Information Engineering, including the areas of Electronics, System Theory and Automation, Telecommunications, Computer Engineering, Bioengineering, Measurement Techniques, Physics and Operation Research applied to Information Engineering.