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

Cassens B, Hartmann M, Nowak T, Duda N, Thielecke J, Kölpin A, Kapitza R (2019)

Publication Language: English

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Future Publication Type: Conference contribution

Publication year: 2019

Publisher: Junction Publishing

Series: EWSN ?19 Proceedings of the 2019 International Conference on Embedded Wireless Systems and Networks

Event location: Beijing CN

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.

Authors with CRIS profile

Markus Hartmann Lehrstuhl für Informationstechnik mit dem Schwerpunkt Kommunikationselektronik (Stiftungslehrstuhl) (LIKE) Thorsten Nowak Professur für Informationstechnik (Schwerpunkt Ortsbestimmung und Navigation) Niklas Duda Lehrstuhl für Technische Elektronik (LTE) Jörn Thielecke Professur für Informationstechnik (Schwerpunkt Ortsbestimmung und Navigation) Alexander Kölpin Lehrstuhl für Technische Elektronik (LTE) Rüdiger Kapitza

Involved external institutions

Technische Universität Braunschweig DE Germany (DE)

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.

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