Poster Abstract: A benchmark for low-power wireless networking
Paper i proceeding, 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.

Network scenario

Reference benchmarks

Stochastic systems

Wireless networks Early designs

Experimental research

Engineering controlled terms: Embedded systems

Learning systems

Stochastic nature

Reproducibilities

Low power wireless networkings

Författare

Simon Duquennoy

Institut National de Recherche en Informatique et en Automatique (INRIA)

SICS Swedish ICT AB

Olaf Landsiedel

Chalmers, Data- och informationsteknik, Nätverk och system

C. A. Boano

Technische Universität Graz

Marco Zimmerling

Technische Universität Dresden

J. Beutel

Eidgenössische Technische Hochschule Zürich (ETH)

M. C. Chan

Universiti Kebangsaan Singapura (NUS)

O. Gnawali

University of Houston

M. Mohammad

Universiti Kebangsaan Singapura (NUS)

L. Mottola

Politecnico di Milano

SICS Swedish ICT AB

L. Thiele

Eidgenössische Technische Hochschule Zürich (ETH)

X. Vilajosana

Universitat Oberta de Catalunya (UOC)

Thiemo Voigt

SICS Swedish ICT AB

Uppsala universitet

T. Watteyne

Institut National de Recherche en Informatique et en Automatique (INRIA)

Proceedings of the 14th ACM Conference on Embedded Networked Sensor Systems

Vol. 14 November 2016 332-333

4th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016
Stanford, USA,

Drivkrafter

Hållbar utveckling

Ämneskategorier

Annan elektroteknik och elektronik

DOI

10.1145/2994551.2996692

Mer information

Senast uppdaterat

2021-02-18