Adaptive Multi-Channel Clustering in IEEE 802.11s Wireless Mesh Networks

WLAN mesh networks are one of the key technologies for upcoming smart city applications and are characterized by a flexible and low-cost deployment. The standard amendment IEEE 802.11s introduces low-level mesh interoperability at the WLAN MAC layer. However, scalability limitations imposed by manag...

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Autores principales:	Michael Rethfeldt, Tim Brockmann, Benjamin Beichler, Christian Haubelt, Dirk Timmermann
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	WLAN wireless mesh network IEEE 802.11s hybrid wireless mesh protocol Airtime Link Metric clustering Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/e4b35da6d20f445da78caedc162ebf18
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spelling	oai:doaj.org-article:e4b35da6d20f445da78caedc162ebf182021-11-11T19:11:45ZAdaptive Multi-Channel Clustering in IEEE 802.11s Wireless Mesh Networks10.3390/s212172151424-8220https://doaj.org/article/e4b35da6d20f445da78caedc162ebf182021-10-01T00:00:00Zhttps://www.mdpi.com/1424-8220/21/21/7215https://doaj.org/toc/1424-8220WLAN mesh networks are one of the key technologies for upcoming smart city applications and are characterized by a flexible and low-cost deployment. The standard amendment IEEE 802.11s introduces low-level mesh interoperability at the WLAN MAC layer. However, scalability limitations imposed by management traffic overhead, routing delays, medium contention, and interference are common issues in wireless mesh networks and also apply to IEEE 802.11s networks. Possible solutions proposed in the literature recommend a divide-and-conquer scheme that partitions the network into clusters and forms smaller collision and broadcast domains by assigning orthogonal channels. We present CHaChA (Clustering Heuristic and Channel Assignment), a distributed cross-layer approach for cluster formation and channel assignment that directly integrates the default IEEE 802.11s mesh protocol information and operating modes, retaining unrestricted compliance to the WLAN standard. Our concept proposes further mechanisms for dynamic cluster adaptation, including subsequent cluster joining, isolation and fault detection, and node roaming for cluster balancing. The practical performance of CHaChA is demonstrated in a real-world 802.11s testbed. We first investigate clustering reproducibility, duration, and communication overhead in static network scenarios of different sizes. We then validate our concepts for dynamic cluster adaptation, considering topology changes that are likely to occur during long-term network operation and maintenance.Michael RethfeldtTim BrockmannBenjamin BeichlerChristian HaubeltDirk TimmermannMDPI AGarticleWLANwireless mesh networkIEEE 802.11shybrid wireless mesh protocolAirtime Link MetricclusteringChemical technologyTP1-1185ENSensors, Vol 21, Iss 7215, p 7215 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	WLAN wireless mesh network IEEE 802.11s hybrid wireless mesh protocol Airtime Link Metric clustering Chemical technology TP1-1185
spellingShingle	WLAN wireless mesh network IEEE 802.11s hybrid wireless mesh protocol Airtime Link Metric clustering Chemical technology TP1-1185 Michael Rethfeldt Tim Brockmann Benjamin Beichler Christian Haubelt Dirk Timmermann Adaptive Multi-Channel Clustering in IEEE 802.11s Wireless Mesh Networks
description	WLAN mesh networks are one of the key technologies for upcoming smart city applications and are characterized by a flexible and low-cost deployment. The standard amendment IEEE 802.11s introduces low-level mesh interoperability at the WLAN MAC layer. However, scalability limitations imposed by management traffic overhead, routing delays, medium contention, and interference are common issues in wireless mesh networks and also apply to IEEE 802.11s networks. Possible solutions proposed in the literature recommend a divide-and-conquer scheme that partitions the network into clusters and forms smaller collision and broadcast domains by assigning orthogonal channels. We present CHaChA (Clustering Heuristic and Channel Assignment), a distributed cross-layer approach for cluster formation and channel assignment that directly integrates the default IEEE 802.11s mesh protocol information and operating modes, retaining unrestricted compliance to the WLAN standard. Our concept proposes further mechanisms for dynamic cluster adaptation, including subsequent cluster joining, isolation and fault detection, and node roaming for cluster balancing. The practical performance of CHaChA is demonstrated in a real-world 802.11s testbed. We first investigate clustering reproducibility, duration, and communication overhead in static network scenarios of different sizes. We then validate our concepts for dynamic cluster adaptation, considering topology changes that are likely to occur during long-term network operation and maintenance.
format	article
author	Michael Rethfeldt Tim Brockmann Benjamin Beichler Christian Haubelt Dirk Timmermann
author_facet	Michael Rethfeldt Tim Brockmann Benjamin Beichler Christian Haubelt Dirk Timmermann
author_sort	Michael Rethfeldt
title	Adaptive Multi-Channel Clustering in IEEE 802.11s Wireless Mesh Networks
title_short	Adaptive Multi-Channel Clustering in IEEE 802.11s Wireless Mesh Networks
title_full	Adaptive Multi-Channel Clustering in IEEE 802.11s Wireless Mesh Networks
title_fullStr	Adaptive Multi-Channel Clustering in IEEE 802.11s Wireless Mesh Networks
title_full_unstemmed	Adaptive Multi-Channel Clustering in IEEE 802.11s Wireless Mesh Networks
title_sort	adaptive multi-channel clustering in ieee 802.11s wireless mesh networks
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/e4b35da6d20f445da78caedc162ebf18
work_keys_str_mv	AT michaelrethfeldt adaptivemultichannelclusteringinieee80211swirelessmeshnetworks AT timbrockmann adaptivemultichannelclusteringinieee80211swirelessmeshnetworks AT benjaminbeichler adaptivemultichannelclusteringinieee80211swirelessmeshnetworks AT christianhaubelt adaptivemultichannelclusteringinieee80211swirelessmeshnetworks AT dirktimmermann adaptivemultichannelclusteringinieee80211swirelessmeshnetworks
_version_	1718431617118109696

Adaptive Multi-Channel Clustering in IEEE 802.11s Wireless Mesh Networks

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