Title
Adaptive Multi-Channel Clustering in IEEE 802.11s Wireless Mesh Networks
Abstract
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.
Year
DOI
Venue
2021
10.3390/s21217215
SENSORS
Keywords
DocType
Volume
WLAN, wireless mesh network, IEEE 802, 11s, hybrid wireless mesh protocol, Airtime Link Metric, clustering, channel assignment
Journal
21
Issue
ISSN
Citations 
21
1424-8220
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Michael Rethfeldt1124.47
Tim Brockmann200.34
Benjamin Beichler311.71
Christian Haubelt479668.77
Dirk Timmermann5846101.52