TY - GEN A1 - Chatharajupalli, Navya Sneha A1 - Rotta, Randolf A1 - Karnapke, Reinhardt A1 - Nolte, Jörg T1 - Animal health monitoring and tracking through solar-powered mesh network T2 - 22. GI/ITG KuVS Fachgespräch Sensornetze : 11. und 12. September 2025, Clausthal-Zellerfeld N2 - Various health and movement sensors, especially bolus sensors inside a cow’s stomach, are crucial for timely medical interventions. Commonly, wall-powered gateways are used to retrieve sensor updates and forward them quickly to an analysis service. In large outdoor farmlands, however, localisation of individual cows becomes important while the long-term operation of wall-powered gateways is costly. Previous solutions that use a LoRaWAN gateway with bigger antennas are still limited to 500m and provide only poor localization information. Existing solutions based on a mesh network of repeaters provide good localization but still depend on external wall power. Solar-powered mesh nodes would simplify the long-term operation. In order to achieve this, a significant improvement of the energy efficiency of the mesh nodes is necessary. This paper explores protocol design choices for the energy-efficient communication between mesh nodes and the bolus sensors. By introducing synchronised sleep and communication intervals, the size of the solar panels and energy storage can be reduced. KW - Wireless Networks KW - Solar-harvesting KW - Localisation Y1 - 2025 UR - https://dokumente.ub.tu-clausthal.de/receive/clausthal_mods_00002954 U6 - https://doi.org/10.21268/20250805-0 SP - 1 EP - 3 PB - TU Clausthal-Zellerfeld CY - Clausthal-Zellerfeld ER - TY - GEN A1 - Chatharajupalli, Navya Sneha A1 - Rotta, Randolf A1 - Karnapke, Reinhardt A1 - Nolte, Jörg T1 - VibroMote : Wi-Fi-based mesh communication for railway bridge inspection and monitoring T2 - 2025 International Symposium on Networks, Computers and Communications (ISNCC) N2 - Vibration sensing provides insights into the dynamic behaviour of engineering constructions such as railway bridges. Cable-based sensors are viable only for long-term condition monitoring and rare special inspections because of the labor-intensive deployment. Although wireless sensors significantly reduce this overhead, their energy constraints limited the network throughput and, hence, their resolution in space and time. Batteryor solar-powered sensor nodes with high network throughput would enable in-depth measurements during regular inspections and improve the access to high-quality monitoring data. We present “VibroMote”, which combines energy harvesting, a high-bandwidth 3-axis MEMS accelerometer, and high-throughput, self-organizing mesh communication via IEEE 802.11 Wi-Fi. The evaluation on a real bridge with 18 VibroMotes shows that the deployment time can be reduced from hours to minutes; the multi-hop mesh provides sufficient throughput reserves for the application whereas direct one-hop communication failed; the battery runtime is sufficient for temporary measurements during inspections; and the energy consumption during sleep modes would be low enough for solar-powered long-term monitoring. Hence, the combination of high-throughput Wi-Fi with mesh networking is a strong alternative to the commonly used low-power radio technologies when long range between the sensors is not needed. KW - Wireless Mesh Network KW - Condition Monitoring KW - Multi-hop routing KW - Wi-Fi Mesh Y1 - 2025 SN - 978-1-6654-5769-9 U6 - https://doi.org/10.1109/ISNCC66965.2025.11250402 SN - 2768-0940 SP - 1 EP - 6 PB - IEEE CY - Piscataway, NJ ER -