TY - JOUR
T1 - Bounded-Hop Communication Networks
AU - Carmi, Paz
AU - Chaitman-Yerushalmi, Lilach
AU - Trabelsi, Ohad
N1 - Funding Information: The research is partially supported by the Lynn and William Frankel Center for Computer Science and by Grant 680/11 from the Israel Science Foundation (ISF). Publisher Copyright: © 2017, Springer Science+Business Media, LLC.
PY - 2018/11/1
Y1 - 2018/11/1
N2 - We study the problem of assigning transmission ranges to radio stations in the plane such that any pair of stations can communicate within a bounded number of hops h and the cost of the network is minimized. We consider two settings of the problem: collinear station locations and arbitrary locations. For the case of collinear stations, we introduce the pioneer polynomial-time exact algorithm for any α≥ 1 and constant h, and thus conclude that the 1D version of the problem, where h is a constant, is in P. Furthermore, we provide a 3 / 2-approximation algorithm for the case where h is an arbitrary number and α= 1 , improving the previously best known approximation ratio of 2. For the case of stations placed arbitrarily in the plane and α= 1 , we first present a (1.5 + ε) -approximation algorithm for a case where a deviation of one hop (h+ 1 hops in total) is acceptable. Then, we show a (3 + ε) -approximation algorithm that complies with the exact hop bound. To achieve that, we introduce the following two auxiliary problems, which are of independent interest. The first is the bounded-hop multi-sink range problem, for which we present a PTAS which can be applied to compute a (1 + ε) -approximation for the bounded diameter minimum spanning tree, for any ε> 0. The second auxiliary problem is the bounded-hop dual-sink pruning problem, for which we show a polynomial-time algorithm. To conclude, we consider the initial bounded-hop all-to-all range assignment problem and show that a combined application of the aforementioned problems yields the (3 + ε) -approximation ratio for this problem, which improves the previously best known approximation ratio of 4(9h-2)/(2h-1).
AB - We study the problem of assigning transmission ranges to radio stations in the plane such that any pair of stations can communicate within a bounded number of hops h and the cost of the network is minimized. We consider two settings of the problem: collinear station locations and arbitrary locations. For the case of collinear stations, we introduce the pioneer polynomial-time exact algorithm for any α≥ 1 and constant h, and thus conclude that the 1D version of the problem, where h is a constant, is in P. Furthermore, we provide a 3 / 2-approximation algorithm for the case where h is an arbitrary number and α= 1 , improving the previously best known approximation ratio of 2. For the case of stations placed arbitrarily in the plane and α= 1 , we first present a (1.5 + ε) -approximation algorithm for a case where a deviation of one hop (h+ 1 hops in total) is acceptable. Then, we show a (3 + ε) -approximation algorithm that complies with the exact hop bound. To achieve that, we introduce the following two auxiliary problems, which are of independent interest. The first is the bounded-hop multi-sink range problem, for which we present a PTAS which can be applied to compute a (1 + ε) -approximation for the bounded diameter minimum spanning tree, for any ε> 0. The second auxiliary problem is the bounded-hop dual-sink pruning problem, for which we show a polynomial-time algorithm. To conclude, we consider the initial bounded-hop all-to-all range assignment problem and show that a combined application of the aforementioned problems yields the (3 + ε) -approximation ratio for this problem, which improves the previously best known approximation ratio of 4(9h-2)/(2h-1).
KW - Approximation algorithms
KW - Computational geometry
KW - Wireless networks
UR - http://www.scopus.com/inward/record.url?scp=85028968797&partnerID=8YFLogxK
U2 - https://doi.org/10.1007/s00453-017-0370-9
DO - https://doi.org/10.1007/s00453-017-0370-9
M3 - Article
SN - 0178-4617
VL - 80
SP - 3050
EP - 3077
JO - Algorithmica
JF - Algorithmica
IS - 11
ER -