dc.contributor.author
Juraschek, Felix
dc.contributor.author
Günes, Mesut
dc.contributor.author
Philipp, Matthias
dc.contributor.author
Blywis, Bastian
dc.date.accessioned
2018-06-08T07:27:59Z
dc.date.available
2011-01-26T12:49:45.297Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/18015
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-21729
dc.description.abstract
Channel assignment for Wireless Mesh Networks (WMNs) attempts to increase the
network performance by decreasing the interference of simultaneous
transmissions. The reduction of interference is achieved by exploiting the
availability of fully or partially non-overlapping channels. Although it is
still a young research area, many different approaches have already been
developed. These approaches can be distinguished into centralized and
distributed. Centralized algorithms rely on a central entity, usually called
Channel Assignment Server (CAS), which calculates the channel assignment and
sends the result to the mesh routers. In distributed approaches, each mesh
router calculates its channel assignment decision based on local information.
Distributed approaches can react faster to topology changes due to node
failures or mobility and usually introduce less protocol overhead since
communication with the CAS is not necessary. As a result, distributed
approaches are more suitable once the network is operational and running.
Distributed approaches can further be classified into static and dynamic, in
regard to the modus of channel switching. In dynamic approaches, channels can
be switched on a per-packet basis, whereas in static approaches radios stay on
a specific channel for a longer period of time. Static assignments have been
more in focus, since the channel switching time for current Institute of
Electrical and Electronics Engineers (IEEE) 802.11 hardware is in the order of
milliseconds which is two orders higher than the packet transmission time.
Recently, surveys of channel assignment algorithms have been presented which
cover certain aspects of the research field. The survey in [1] introduces the
problem and presents a couple of distributed algorithms and [2] gives a broad
introduction to centralized and distributed approaches. The survey herein is
focused on distributed approaches for peer- to-peer network architectures.
This report describes the problem formulation for channel assignment in WMNs
and the fundamental concepts and challenges of this research area. We present
different distributed channel assignment algorithms and characterize them
according to a set of classification keys. Since channel assignment algorithms
may change the connectivity and therefore the network topology, they may have
a high impact on routing. Therefore, we present routing metrics that consider
channel diversity and adapt better to the multi- radio multi-channel scenario
than traditional routing metrics designed for single channel networks. The
presented algorithms are discussed and compared focusing on practical
evaluations in testbed and network environments. The implementation for real
networks is a hard and labor-intensive task because the researcher has to deal
with the complexity of the hardware, operating system, and wireless network
interface drivers. As a result, frameworks emerged in order to simplify the
implementation process. We describe these frameworks and the mechanisms used
to help researchers implementing their algorithms and show their limitations
and restrictions.
de
dc.format.extent
VIII, 59 S.
dc.relation.ispartofseries
urn:nbn:de:kobv:188-fudocsseries000000000021-2
dc.rights.uri
http://www.fu-berlin.de/sites/refubium/rechtliches/Nutzungsbedingungen
dc.subject
channel assignment
dc.subject
wireless mesh networks
dc.subject
experimenation
dc.subject
distributed algorithms
dc.subject
interference models
dc.subject.ddc
000 Informatik, Informationswissenschaft, allgemeine Werke::000 Informatik, Wissen, Systeme::004 Datenverarbeitung; Informatik
dc.title
State-of-the-art of distributed channel assignment
refubium.affiliation
Mathematik und Informatik
de
refubium.affiliation.other
Institut für Informatik
refubium.mycore.fudocsId
FUDOCS_document_000000009172
refubium.mycore.reportnumber
TR-B-11-01
refubium.resourceType.isindependentpub
no
refubium.series.name
Freie Universität Berlin, Fachbereich Mathematik und Informatik
refubium.series.reportNumber
11-1
refubium.mycore.derivateId
FUDOCS_derivate_000000001581
dcterms.accessRights.openaire
open access