Average Case Analysis of the MST-heuristic for the Power Assignment Problem: Special Cases
Journal Title: EAI Endorsed Transactions on Energy Web - Year 2016, Vol 3, Issue 10
Abstract
We present an average case analysis of the minimum spanning tree heuristic for the power assignment problem. The worst-case approximation ratio of this heuristic is 2. We have the following results: (a) In the one-dimension-al case, with uniform [0, 1]-distributed distances, the expected approximation ratio is bounded above by $2 - 2/(\myp+2)$, where $\myp$ denotes the distance power gradient. (b) For the complete graph, with uniform [0, 1] distributed edge weights, the expected approximation ratio is bounded above by 2 − 1 / 2ζ(3), where ζ denotes the Riemann zeta function.
Authors and Affiliations
Maurits de Graaf, Richard Boucherie, Johann Hurink, Jan-Kees van Ommeren
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