Approximating minimum-power edge-multicovers

TL;DR

This paper introduces improved approximation algorithms for the Minimum-Power Edge-Multi-Cover problem in wireless networks, achieving better ratios than previous methods and extending to related connectivity problems.

Contribution

The paper presents two new approximation algorithms with ratios $O( ext{log }k)$ and $k+1/2$, improving upon prior bounds for the MPEMC problem and related connectivity variants.

Findings

Achieved $O( ext{log }k)$ approximation ratio for MPEMC.

Achieved $k+1/2$ approximation ratio for MPEMC.

Extended results to minimum-power $k$-outconnected and $k$-connected subgraph problems.

Abstract

Given a graph with edge costs, the {\em power} of a node is themaximum cost of an edge incident to it, and the power of a graph is the sum of the powers of its nodes. Motivated by applications in wireless networks, we consider the following fundamental problem in wireless network design. Given a graph $G=(V,E)$ with edge costs and degree bounds $\{r(v):v \in V\}$, the {\sf Minimum-Power Edge-Multi-Cover} ({\sf MPEMC}) problem is to find a minimum-power subgraph $J$ of $G$ such that the degree of every node $v$ in $J$ is at least $r(v)$. We give two approximation algorithms for {\sf MPEMC}, with ratios $O(\log k)$ and $k+1/2$, where $k=\max_{v \in V} r(v)$ is the maximum degree bound. This improves the previous ratios $O(\log n)$ and $k+1$, and implies ratios $O(\log k)$ for the {\sf Minimum-Power $k$-Outconnected Subgraph} and $O(\log k \log \frac{n}{n-k})$ for the {\sf Minimum-Power $k$-Connected Subgraph} problems; the latter is the currently best known ratio for the min-cost version of the problem.