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.
Staff member
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
Participant / Staff Member
Fikret Basic
bak. elektr. Dipl.-Ing.
Markus Gallacher
Maximilian Peter Schuh
Dipl.-Ing. B.Sc.
Start: 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 Show publication in PURE
Maximilian Schuh, Carlo Alberto Boano and Kay Uwe Römer Poster: Increasing the Reliability of Concurrent UWB Transmissions over Complex Channels Show publication in PURE
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 Show publication in PURE