Poster Abstract: A benchmark for low-power wireless networking
Poster (konferens), 2016
Experimental research in low-power wireless networking lacks a reference benchmark. While other communities such as databases or machine learning have standardized bench-marks, our community still uses ad-hoc setups for its exper-iments and struggles to provide a fair comparison between communication protocols. Reasons for this include the di-versity of network scenarios and the stochastic nature of wireless experiments. Leveraging on the excellent testbeds and tools that have been built to support experimental val-idation, we make the case for a reference benchmark to pro-mote a fair comparison and reproducibility of results. This abstract describes early design elements and a benchmark-ing methodology with the goal to gather feedback from the community rather than propose a definite solution.
Reference benchmarks
Stochastic nature
Experimental research
Network scenario
Learning systems
Wireless networks Early designs
Engineering controlled terms: Embedded systems
Stochastic systems
Reproducibilities
Low power wireless networkings
Författare
Simon Duquennoy
INRIA Institut National de Recherche en Informatique et en Automatique
SICS Swedish ICT
Olaf Landsiedel
Chalmers, Data- och informationsteknik, Nätverk och system
C. A. Boano
Technische Universitat Graz
Marco Zimmerling
Technische Universitat Dresden
J. Beutel
ETH Zurich
M. C. Chan
National University of Singapore
O. Gnawali
University of Houston
M. Mohammad
National University of Singapore
L. Mottola
Politecnico di Milano
SICS Swedish ICT
L. Thiele
ETH Zurich
X. Vilajosana
Universitat Oberta de Catalunya
Thiemo Voigt
SICS Swedish ICT
Uppsala Universitet
T. Watteyne
INRIA Institut National de Recherche en Informatique et en Automatique
Proceedings of the 14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016
332-333
9781450342636 (ISBN)
Drivkrafter
Hållbar utveckling
Ämneskategorier (SSIF 2011)
Annan elektroteknik och elektronik
DOI
10.1145/2994551.2996692
ISBN
9781450342636