Bursting: Increasing Energy Efficiency of Erasure-Coded Data in Animal-Borne Sensor Networks

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Cassens B, Hartmann M, Nowak T, Duda N, Thielecke J, Kölpin A, Kapitza R
Publisher: Junction Publishing
Publication year: 2019
Title of series: EWSN ?19 Proceedings of the 2019 International Conference on Embedded Wireless Systems and Networks
Language: English


Abstract

Observing the (social) behavior of animals and especially bats
contributes to improved epidemic forecasts and improved protection of
rare or endangered species. For this task, animal-borne sensor nodes are
powerful tools since they allow collecting more information at less
influence to the species compared to traditional radio telemetry.
However, as bats are inherently small vertebrates, a strict weight limit
of 2 g is dictated for attached sensor nodes. To acquire enough data,
the sensor nodes must achieve a runtime of at least two weeks, which
demands a rigorous energy management. As the data transmission is the
most energy hungry task, minimizing the energy demand in this segment is
a key to achieve the desired runtimes. In this paper we present a novel
technique that enables bursts of erasure coded data without sacrificing
reliability (in a wildlife setting). To keep data losses at a minimum,
our approach exploits the characteristics of the erasure channel and
combines encoded packets in smart way. We evaluated this approach
extensively with experiments, field tests and a theoretical analysis.
The results show a decreased energy demand by 30.177 % to 36.951 % while
the data rate is increased up to a factor of 4 at the same time.


FAU Authors / FAU Editors

Duda, Niklas
Lehrstuhl für Technische Elektronik
Hartmann, Markus
Lehrstuhl für Informationstechnik mit dem Schwerpunkt Kommunikationselektronik (Stiftungslehrstuhl)
Nowak, Thorsten
Professur für Informationstechnik (Schwerpunkt Ortsbestimmung und Navigation)
Thielecke, Jörn Prof. Dr.
Professur für Informationstechnik (Schwerpunkt Ortsbestimmung und Navigation)


External institutions with authors

Brandenburgische Technische Universität Cottbus-Senftenberg (BTU)
Technische Universität Braunschweig


How to cite

APA:
Cassens, B., Hartmann, M., Nowak, T., Duda, N., Thielecke, J., Kölpin, A., & Kapitza, R. (2019). Bursting: Increasing Energy Efficiency of Erasure-Coded Data in Animal-Borne Sensor Networks. In Proceedings of the ESWN 2019. Beijing, CN: Junction Publishing.

MLA:
Cassens, Björn, et al. "Bursting: Increasing Energy Efficiency of Erasure-Coded Data in Animal-Borne Sensor Networks." Proceedings of the ESWN 2019, Beijing Junction Publishing, 2019.

BibTeX: 

Last updated on 2019-23-05 at 13:38