RaLaNS - A ray launching based propagation loss model for ns-3. - Thomas Hänel; Alexander Bothe; Nils Aschenbruck (NetSys, 2015)

On the map accuracy required for network simulations based on ray launching. - Thomas Hänel; Matthias Schwamborn; Alexander Bothe; Nils Aschenbruck (WOWMOM, 2015)

On the Potential of Data-Based Time Synchronization in Wireless Sensor Networks for Condition Monitoring. - Thomas Hänel; Florian Krampe; Christoph Gericke; Nils Aschenbruck (DCOSS, 2016)

Accelerating Yield Mapping at Low Data Rates Using Compressive Field Estimate. - Thomas Hänel; Nils Aschenbruck (LCN, 2017)

Adjustable security for RFID-equipped IoT devices. - Thomas Hänel; Alexander Bothe; René Helmke; Christoph Gericke; Nils Aschenbruck (RFID-TA, 2017)

Using distributed compressed sensing to derive continuous hyperspectral imaging from a wireless sensor network. - Thomas Hänel; Thomas Jarmer 001; Nils Aschenbruck (Comput. Electron. Agric., 2019)

On the Impact of Geographic Restrictions on Contact Metrics in Opportunistic Networks. - Alexander Tessmer; Thomas Hänel; Nils Aschenbruck (LCN Symposium, 2020)

Enhancing Adaptive Frequency Hopping for Bluetooth Low Energy. - Jannis Mast; Thomas Hänel; Nils Aschenbruck (LCN, 2021)

Long-Term Wireless Sensor Network Deployments in Industry and Office Scenarios. - Thomas Hänel; Leonhard Brüggemann; Felix Loske; Nils Aschenbruck (WOWMOM, 2021)

Learning a Transform Base for the Multi- to Hyperspectral Sensor Network with K-SVD. - Thomas Hänel; Thomas Jarmer 001; Nils Aschenbruck (Sensors, 2021)

Improving Proximity Classification for Contact Tracing using a Multi-channel Approach. - Eric Lanfer; Thomas Hänel; Roland van Rijswijk-Deij; Nils Aschenbruck (LCN, 2022)

WIP: Real-world 3D models derived from mobile mapping for ray launching based propagation loss modeling. - Tobias Wahl; Dorit Borrmann; Michael Bleier; Andreas Nüchter; Thomas Wiemann; Thomas Hänel; Nils Aschenbruck (WoWMoM, 2022)

Improving Proximity Estimation for Contact Tracing using a Multi-channel Approach. - Eric Lanfer; Thomas Hänel; Roland van Rijswijk-Deij; Nils Aschenbruck (CoRR, 2022)

Quality-Aware Compressed Sensing for Distributed Precision Agriculture Systems - Thomas Hänel (2022)

Generating more Realistic Packet Loss Patterns for Wireless links using Neural Networks. - Daniel Otten; Thomas Hänel; Tim Römer; Nils Aschenbruck (FLAIRS, 2023)

Trade-Off Between Compression and FEC in Image Transmission Over Wifibroadcast. - Nikolas Wintering; Jannis Mast; Thomas Hänel; Nils Aschenbruck (LCN, 2023)

Site-specific Radio Signal Propagation for Tactical Environments using 3D Path Tracing. - Bertram Schütz; Christoph Barz; Paulo H. L. Rettore; Thomas Hänel (MILCOM, 2023)

WIP: Two Packet Collision Model Parameter Sets. - Thomas Hänel; Clemens Hoppenau; Jannis Mast; Nils Aschenbruck (WoWMoM, 2023)

Evaluating Wifibroadcast for Long-Distance UAV-to-Ground Data Transmission. - Jannis Mast; Thomas Hänel; Nikolas Wintering; Nils Aschenbruck (WoWMoM, 2023)