Abstract
We consider the aggregation problem in radio networks: find a spanning tree in a given graph and a conflict-free schedule of the edges so as to minimize the latency of the computation. While a large body of literature exists on this and related problems, we give the first approximation results in graphs that are not induced by unit ranges in the plane. We give a polynomial-time O˜(dn)-approximation algorithm, where d is the average degree and n the number of vertices in the graph, and show that the problem is Ω(n1−ϵ)-hard (and Ω((dn)1/2−ϵ)-hard) to approximate even on bipartite graphs, for any ϵ>0, rendering our algorithm essentially optimal. We also obtain a O(logn)-approximation in interval graphs.
| Original language | English |
|---|---|
| Pages (from-to) | 143-153 |
| Number of pages | 11 |
| Journal | Theoretical Computer Science |
| Volume | 840 |
| DOIs | |
| State | Published - 6 Nov 2020 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2020
Keywords
- Approximation algorithms
- Data aggregation
- Radio networks
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