SPiDR - Secure, Performant, Dependable, and Resilient Wireless Mesh Networks

SPiDR brings together the latest advances in wireless networking, localization, benchmarking, collaborative awareness, and machine learning, towards the development of secure, resilient, and highly-performant wireless mesh networks. Within SPiDR, we will create benchmarking infrastructures supporting experimentation on wireless networks based on Wi-Fi, Bluetooth Low Energy (BLE), and Ultra-wideband (UWB) technology; we will design dependable and scalable networking protocols that are resilient to malicious agents; we will provide autonomous entities such as drones with RF context- and location-awareness, as well as with the ability to identify and mitigate security threats, network anomalies, and coexistence issues.
Carlo Alberto Boano
Assoc.Prof. Dott. Dott. mag. Dr.techn. MSc
Kay Uwe Römer
Univ.-Prof. Dipl.-Inform. Dr.sc.ETH
Markus Schuß
Dipl.-Ing. Dr.techn. BSc
Teilnehmer / Mitarbeiter
Fikret Basic
bak. elektr. Dipl.-Ing.
Markus Gallacher
Maximilian Peter Schuh
Dipl.-Ing. B.Sc.
Beginn: 30.06.2021


Michael Baddeley, Yevgen Gyl, Markus Schuß, Xiaoyuan Ma and Carlo Alberto Boano OSF: An Open-Source Framework for Synchronous Flooding over Multiple Physical Layers EWSN '22: Proceedings of the 19th International Conference on Embedded Wireless Systems and Networks 180-185 Publikation in PURE anzeigen
Maximilian Schuh, Carlo Alberto Boano and Kay Uwe Römer Poster: Increasing the Reliability of Concurrent UWB Transmissions over Complex Channels Publikation in PURE anzeigen
Markus Schuß, Carlo Alberto Boano, Michael Baddeley, Monika Prakash and Kay Uwe Römer Poster: Towards a Federated Testbed Infrastructure for Geographically-Distributed Low-Power Wireless Systems Publikation in PURE anzeigen