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A Distributed Algorithm for Minimum Weight Spanning Trees. Revision

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TLDR
In this paper, a distributed algorithm is presented that constructs the minimum weight spanning tree in a connected undirected graph with distinct edge weights, where a processor exists at each node of the graph, knowing initially only the weights of the adjacent edges.
Abstract
: A distributed algorithm is presented that constructs the minimum weight spanning tree in a connected undirected graph with distinct edge weights. A processor exists at each node of the graph, knowing initially only the weights of the adjacent edges. The processors obey the same algorithm and exchange messages with neighbors until the tree is constructed. The total number of messages required for a graph of N nodes and E edges is at most 5N log of N to the base 2 + 2E and a message contains at most one edge weight plus log of 8N to the base 2 bits. The algorithm can be initiated spontaneously at any node or at any subset of nodes.

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Book

Distributed algorithms

Nancy Lynch
TL;DR: This book familiarizes readers with important problems, algorithms, and impossibility results in the area, and teaches readers how to reason carefully about distributed algorithms-to model them formally, devise precise specifications for their required behavior, prove their correctness, and evaluate their performance with realistic measures.
Proceedings ArticleDOI

Energy conserving routing in wireless ad-hoc networks

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A new approach to the maximum-flow problem

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Multiagent Systems

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TL;DR: This second edition has been completely revised, capturing the tremendous developments in multiagent systems since the first edition appeared in 1999.
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Power management in energy harvesting sensor networks

TL;DR: In this paper, the authors have developed abstractions to characterize the complex time varying nature of such sources with analytically tractable models and use them to address key design issues.
References
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