Self-stabilizing (k,r)-Clustering in Wireless Ad-hoc Networks with Multiple Paths
Rapport, 2010

Wireless Ad-hoc networks are distributed systems that often reside in error-prone environments. Self-stabilization lets the system recover autonomously from an arbitrary state, making the system recover from errors and temporarily broken assumptions. Clustering nodes within ad-hoc networks can help forming backbones, facilitating routing, improving scaling, aggregating information, saving power and much more. We present the first self-stabilizing distributed (k,r)-clustering algorithm. A (k,r)-clustering assigns k cluster heads within r communication hops for all nodes in the network while trying to minimize the total number of cluster heads. The algorithm uses synchronous communication rounds and uses multiple paths to different cluster heads for improved security, availability and fault tolerance. The algorithm assigns, when possible, at least k cluster heads to each node within O(r) rounds from an arbitrary configuration. The set of cluster heads stabilizes, with high probability, to a local minimum within O(gr log n) rounds, where n is the size of the network and g is an upper bound on the number of nodes within 2r hops.

Författare

Andreas Larsson

Chalmers, Data- och informationsteknik, Nätverk och system

Philippas Tsigas

Chalmers, Data- och informationsteknik, Nätverk och system

Styrkeområden

Informations- och kommunikationsteknik

Transport

Building Futures

Ämneskategorier

Datavetenskap (datalogi)

Technical report - Department of Computer Science and Engineering, Chalmers University of Technology and Göteborg University: 2010:06