Student works

Projects and theses:

Wiebke Hoes: Experimental Comparison between LoRa and RF for Underground Environments, master project, 2022

Justin Kleihauer: Comparison of Soil Sensors for Wireless Underground Sensor Networks, bachelor project, 2021

Daniel Helms: LoRa Gateway for WUSN, bachelor project, 2020

Khushboo Qayyum: Efficient Utilization of on-board Memory in Wireless Underground Sensor Networks, master thesis, 2020

Khushboo Qayyum: H2O Sense A WSN Based Monitoring System for Fish Tanks, master project, 2018

Moraru Vlad Andrei: Alternative Power Sources for Wireless Underground Sensor Networks, bachelor thesis, 2018

Paul Meilahn: An Energy Efficient, Cellular Network Base Station for WUSN, bachelor thesis, 2017

Martin Gellhaar: Design and Evaluation of Wireless Underground Sensor Networks for Reforestation Monitoring, diploma thesis, 2016

Research publications

Wohwe Sambo, D., Yenke, B.O., Förster, A. et al. A new fuzzy logic approach for reliable communications in wireless underground sensor networks. Wireless Netw 28, 3275–3292 (2022).

Jens Dede, Daniel Helms, Anna Förster. MoleNet: An Underground Sensor Network for Soil Monitoring. Electronic Communications of the EASST, 2021

Idrees Zaman, Nandit Jain, Anna Förster. Machine Learning based Soil VWC and Field Capacity Estimation Using Low Cost Sensors. arXiv preprint arXiv:2102.03354, 2021

Qayyum, K., Zaman, I. & Förster, A. H2O Sense: a WSN-based monitoring system for fish tanks. SN Appl. Sci. 2, 1643 (2020).

Idrees Zaman, Anna Förster. Self Adaptive Communication based on Soil Moisture for Wireless Underground Sensor Networks. Technical report of the University of Bremen, 2021.

D. Wohwe Sambo, A. Forster, B. O. Yenke, I. Sarr, B. Gueye and P. Dayang, “Wireless Underground Sensor Networks Path Loss Model for Precision Agriculture (WUSN-PLM),” in IEEE Sensors Journal, vol. 20, no. 10, pp. 5298-5313, 15 May15, 2020, doi: 10.1109/JSEN.2020.2968351.

Anna Förster. Adapting Sensor Network Protocols to Environmental Changes through Machine Learning. KuVS Fachgespräch Machine Learning & Networking, 2020.

I. Zaman, A. Förster, A. Mahmood and F. Cawood, “Finding Trapped Miners with Wireless Sensor Networks,” 2018 5th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM), Sendai, Japan, 2018, pp. 1-8, doi: 10.1109/ICT-DM.2018.8636376.

I. Zaman, N. Jain and A. Förster, “Artificial Neural Network based Soil VWC and Field Capacity Estimation Using Low Cost Sensors,” 2018 IFIP/IEEE International Conference on Performance Evaluation and Modeling in Wired and Wireless Networks (PEMWN), Toulouse, France, 2018, pp. 1-6, doi: 10.23919/PEMWN.2018.8548808.

Idrees Zaman, Anna Förster. Challenges and Opportunities of Wireless Underground Sensor Networks. 17. GI/ITG KuVS Fachgespräch Sensornetze, 2019

Idrees Zaman, Martin Gellhaar, Jens Dede, Hartmut Koehler, Anna Foerster. Design and evaluation of MoleNet for wireless underground sensor networks. 2016 IEEE 41st conference on local computer networks workshops (LCN workshops).