Literature Database Entry


Falko Dressler, Margit Mutschlechner, Muhammad Nabeel and Johannes Blobel, "Ultra Low-Power Sensor Networks for Next Generation Wildlife Monitoring," Proceedings of 11th IEEE International Conference on Communication Systems and Networks (COMSNETS 2019), Bengaluru, India, January 2019.


We discuss challenges and solutions to enable ultra low-power communication systems. In the field of sensor networks, this question has been investigated for multiple decades now. However, only the combination of technological and algorithmic methods eventually helps designing next generation systems. Using wildlife monitoring as an application scenario, in particular monitoring the social behavior of bats, we explore novel solutions for low-power communications given the high reliability requirements and weight restrictions. We go stepwise through a series of hardware, signal processing, and coding solutions that we developed, in order to illustrate our advancements. Our concepts have been evaluated both in large-scale simulation as well as in first field experiments.

Quick access

Original Version DOI (at publishers web site)
Authors' Version PDF (PDF on this web site)
BibTeX BibTeX


Falko Dressler
Margit Mutschlechner
Muhammad Nabeel
Johannes Blobel

BibTeX reference

    author = {Dressler, Falko and Mutschlechner, Margit and Nabeel, Muhammad and Blobel, Johannes},
    doi = {10.1109/COMSNETS.2019.8711475},
    title = {{Ultra Low-Power Sensor Networks for Next Generation Wildlife Monitoring}},
    publisher = {IEEE},
    address = {Bengaluru, India},
    booktitle = {11th IEEE International Conference on Communication Systems and Networks (COMSNETS 2019)},
    month = {1},
    year = {2019},

Copyright notice

Links to final or draft versions of papers are presented here to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or distributed for commercial purposes without the explicit permission of the copyright holder.

The following applies to all papers listed above that have IEEE copyrights: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

The following applies to all papers listed above that are in submission to IEEE conference/workshop proceedings or journals: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.

The following applies to all papers listed above that have ACM copyrights: ACM COPYRIGHT NOTICE. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or

The following applies to all SpringerLink papers listed above that have Springer Science+Business Media copyrights: The original publication is available at

This page was automatically generated using BibDB and bib2web.