Self-stabilizing minimum degree spanning tree within one from the optimal degree

Abstract : We propose a self-stabilizing algorithm for constructing a Minimum-Degree Spanning Tree (MDST) in undirected networks. Starting from an arbitrary state, our algorithm is guaranteed to converge to a legitimate state describing a spanning tree whose maximum node degree is at most ∆∗ + 1, where ∆∗ is the minimum possible maximum degree of a spanning tree of the network. To the best of our knowledge our algorithm is the first self stabilizing solution for the construction of a minimum-degree spanning tree in undirected graphs. The algorithm uses only local communications (nodes interact only with the neighbors at one hop distance). Moreover, the algorithm is designed to work in any asynchronous message passing network with reliable FIFO channels. Additionally, we use a fine grained atomicity model (i.e. the send/receive atomicity). The time complexity of our solution is O(mn2 log n) where m is the number of edges and n is the number of nodes. The memory complexity is O(δ log n) in the send-receive atomicity model (δ is the maximal degree of the network).
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Lélia Blin, Maria Gradinariu Potop-Butucaru, Stéphane Rovedakis. Self-stabilizing minimum degree spanning tree within one from the optimal degree. Journal of Parallel and Distributed Computing, Elsevier, 2011, 71 (3), pp.438-449. ⟨10.1016/j.jpdc.2010.08.019⟩. ⟨hal-01151868⟩



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