2010
DOI: 10.1007/s11276-010-0253-3
|View full text |Cite
|
Sign up to set email alerts
|

A scalable dual-radio wireless testbed for emulating mesh networks

Abstract: In this paper, we introduce and evaluate ScaleMesh, a scalable miniaturized dual-radio wireless mesh testbed based on IEEE 802.11b/g technology. ScaleMesh can emulate large-scale mesh networks within a miniaturized experimentation area by adaptively shrinking the transmission range of mesh nodes by means of variable signal attenuators. To this end, we derive a theoretical formula for approximating the attenuation level required for downscaling desired network topologies. We conduct a comprehensive performance … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2011
2011
2013
2013

Publication Types

Select...
3
2

Relationship

0
5

Authors

Journals

citations
Cited by 8 publications
(1 citation statement)
references
References 18 publications
0
1
0
Order By: Relevance
“…There is no centralized infrastructure controlling these multi-hop networks and their inherent "self-healing" ability improves the overall reliability of the system [1]. While the majority of the research in this field focusses on either simulation studies (using, for example, ns-2 [2] or OPNET [3]) or theoretical analyses, in order to provide a better understanding of mesh networks, there has been a small but growing trend to implement wireless mesh testbeds [1,[4][5][6][7].…”
Section: Introductionmentioning
confidence: 99%
“…There is no centralized infrastructure controlling these multi-hop networks and their inherent "self-healing" ability improves the overall reliability of the system [1]. While the majority of the research in this field focusses on either simulation studies (using, for example, ns-2 [2] or OPNET [3]) or theoretical analyses, in order to provide a better understanding of mesh networks, there has been a small but growing trend to implement wireless mesh testbeds [1,[4][5][6][7].…”
Section: Introductionmentioning
confidence: 99%