TY - JOUR
T1 - Radio aggregation scheduling
AU - Gandhi, Rajiv
AU - Halldórsson, Magnús M.
AU - Konrad, Christian
AU - Kortsarz, Guy
AU - Oh, Hoon
N1 - Publisher Copyright:
© 2020
PY - 2020/11/6
Y1 - 2020/11/6
N2 - 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.
AB - 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.
KW - Approximation algorithms
KW - Data aggregation
KW - Radio networks
UR - http://www.scopus.com/inward/record.url?scp=85090479558&partnerID=8YFLogxK
U2 - 10.1016/j.tcs.2020.07.032
DO - 10.1016/j.tcs.2020.07.032
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AN - SCOPUS:85090479558
SN - 0304-3975
VL - 840
SP - 143
EP - 153
JO - Theoretical Computer Science
JF - Theoretical Computer Science
ER -