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

Keywords

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  • EP ID EP45158
  • DOI http://dx.doi.org/10.4108/eai.14-12-2015.2262699
  • Views 231
  • Downloads 0

How To Cite

Maurits de Graaf, Richard Boucherie, Johann Hurink, Jan-Kees van Ommeren (2016). Average Case Analysis of the MST-heuristic for the Power Assignment Problem: Special Cases. EAI Endorsed Transactions on Energy Web, 3(10), -. https://europub.co.uk/articles/-A-45158