Zobel, Julian ; Frommelt, Paul ; Lieser, Patrick ; Höchst, Jonas ; Lampe, Patrick ; Freisleben, Bernd ; Steinmetz, Ralf (2021)
Energy-efficient Mobile Sensor Data Offloading via WiFi using LoRa-based Connectivity Estimations.
51. Jahrestagung der Gesellschaft für Informatik (INFORMATIK 2021). virtual conference (27.09.2021-01.10.2021)
doi: 10.18420/informatik2021-037
Conference or Workshop Item, Bibliographie
Abstract
Animal monitoring in natural habitats provides significant insights into the animals’ behavior, interactions, health, or external influences. However, the sizes of monitoring devices attachable to animals strongly depends on the animals’ sizes, and thus the range of possible sensors including batteries is severely limited. Gathered data can be offloaded from monitoring devices to data sinks in a wireless sensor network using available radio access technologies, but this process also needs to be as energy-efficient as possible. This paper presents an approach to combine the benefits of high-throughput WiFi and robust low-power LoRa communication for energy-efficient data offloading. WiFi is only used when connectivity between mobile devices and data sinks is available, which is determined by LoRa-based distance estimations without the need for additional GPS sensors. A prototypical implementation on low-end commodity-off-the-shelf hardware is used to evaluate the proposed approach in a German mixed forest using a simple path loss model for distance estimation. The system provides an offloading success rate of 87%, which is similar to that of a GPS-based approach, but with around 37% less power consumption.
Item Type: | Conference or Workshop Item |
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Erschienen: | 2021 |
Creators: | Zobel, Julian ; Frommelt, Paul ; Lieser, Patrick ; Höchst, Jonas ; Lampe, Patrick ; Freisleben, Bernd ; Steinmetz, Ralf |
Type of entry: | Bibliographie |
Title: | Energy-efficient Mobile Sensor Data Offloading via WiFi using LoRa-based Connectivity Estimations |
Language: | English |
Date: | 27 October 2021 |
Publisher: | Gesellschaft für Informatik e.V. |
Book Title: | INFORMATIK 2021: Computer Science & Sustainability |
Series: | GI-Edition: Lecture Notes in Informatics |
Series Volume: | P314 |
Event Title: | 51. Jahrestagung der Gesellschaft für Informatik (INFORMATIK 2021) |
Event Location: | virtual conference |
Event Dates: | 27.09.2021-01.10.2021 |
DOI: | 10.18420/informatik2021-037 |
Abstract: | Animal monitoring in natural habitats provides significant insights into the animals’ behavior, interactions, health, or external influences. However, the sizes of monitoring devices attachable to animals strongly depends on the animals’ sizes, and thus the range of possible sensors including batteries is severely limited. Gathered data can be offloaded from monitoring devices to data sinks in a wireless sensor network using available radio access technologies, but this process also needs to be as energy-efficient as possible. This paper presents an approach to combine the benefits of high-throughput WiFi and robust low-power LoRa communication for energy-efficient data offloading. WiFi is only used when connectivity between mobile devices and data sinks is available, which is determined by LoRa-based distance estimations without the need for additional GPS sensors. A prototypical implementation on low-end commodity-off-the-shelf hardware is used to evaluate the proposed approach in a German mixed forest using a simple path loss model for distance estimation. The system provides an offloading success rate of 87%, which is similar to that of a GPS-based approach, but with around 37% less power consumption. |
Uncontrolled Keywords: | emergenCITY_KOM, emergenCITY |
Additional Information: | Workshop Computer Science for Biodiversity (CS4BIODiversity) |
Divisions: | 18 Department of Electrical Engineering and Information Technology 18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering 18 Department of Electrical Engineering and Information Technology > Institute of Computer Engineering > Multimedia Communications DFG-Collaborative Research Centres (incl. Transregio) DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres LOEWE LOEWE > LOEWE-Zentren LOEWE > LOEWE-Zentren > emergenCITY DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet |
Date Deposited: | 28 Mar 2023 13:04 |
Last Modified: | 23 Jan 2024 08:38 |
PPN: | 509496601 |
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