Publication | Open Access
Thinking small: next-generation sensor networks close the size gap in vertebrate biologging
26
Citations
27
References
2019
Year
Unknown Venue
Location TrackingSmall AnimalsEngineeringHigh ResolutionEmbedded SensingWireless Sensor SystemWearable TechnologyNext-generation Sensor NetworksBiological ComputingSensor ConnectivityData ScienceInternet Of ThingsVertebrate BiologgingBiological DataMobile ComputingBiomedical SystemVertebrate BiologyCollaborative Sensor NetworkBiologySize GapComputational BiologySystems BiologyAnimal Behavior
Abstract Recent advances in animal tracking technology have ushered in a new era in biologging. However, the considerable size of many sophisticated biologging devices restricts their application to larger animals, while old-fashioned techniques often still represent the state-of-the-art for studying small vertebrates. In industrial applications, low-power wireless sensor networks fulfill requirements similar to those needed to monitor animal behavior at high resolution and at low tag weight. We developed a wireless biologging network (WBN), which enables simultaneous direct proximity sensing, high-resolution tracking, and long-range remote data download at tag weights of one to two grams. Deployments to study wild bats created social networks and flight trajectories of unprecedented quality. Our developments highlight the vast capabilities of WBNs and their potential to close an important gap in biologging: fully automated tracking and proximity sensing of small animals, even in closed habitats, at high spatial and temporal resolution.
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