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Energy-efficient Mobile Sensor Data Offloading via WiFi using LoRa-based Connectivity Estimations

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dc.contributor.authorZobel, Julian
dc.contributor.authorFrommelt, Paul
dc.contributor.authorLieser, Patrick
dc.contributor.authorHöchst, Jonas
dc.contributor.authorLampe, Patrick
dc.contributor.authorFreisleben, Bernd
dc.contributor.authorSteinmetz, Ralf
dc.date.accessioned2021-12-14T10:57:25Z
dc.date.available2021-12-14T10:57:25Z
dc.date.issued2021
dc.description.abstractAnimal 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.en
dc.identifier.doi10.18420/informatik2021-037
dc.identifier.isbn978-3-88579-708-1
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/37701
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofINFORMATIK 2021
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-314
dc.subjectLoRa
dc.subjectDistance Estimation
dc.subjectMulti-RAT Wireless Sensor Networks
dc.subjectData Offloading
dc.titleEnergy-efficient Mobile Sensor Data Offloading via WiFi using LoRa-based Connectivity Estimationsen
gi.citation.endPage479
gi.citation.startPage461
gi.conference.date27. September - 1. Oktober 2021
gi.conference.locationBerlin
gi.conference.sessiontitleWorkshop: Computer Science for Biodiversity (CS4BIODiversity)

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P314 - INFORMATIK 2021 - Computer Science & Sustainability