Poster Abstract: A benchmark for low-power wireless networking
Paper in proceedings, 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

Author

Simon Duquennoy

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

SICS Swedish ICT AB

Olaf Landsiedel

Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)

C. A. Boano

Technische Universität Graz

Marco Zimmerling

Technische Universität Dresden

J. Beutel

Swiss Federal Institute of Technology in Zürich (ETH)

M. C. Chan

National University of Singapore (NUS)

O. Gnawali

University of Houston

M. Mohammad

National University of Singapore (NUS)

L. Mottola

Polytechnic University of Milan

SICS Swedish ICT AB

L. Thiele

Swiss Federal Institute of Technology in Zürich (ETH)

X. Vilajosana

Open University of Catalonia (UOC)

Thiemo Voigt

SICS Swedish ICT AB

Uppsala University

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,

Driving Forces

Sustainable development

Subject Categories

Other Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1145/2994551.2996692

More information

Latest update

2/18/2021