Bounded-Hop Communication Networks

Paz Carmi, Lilach Chaitman-Yerushalmi, Ohad Trabelsi

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


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).

Original languageEnglish
Pages (from-to)3050-3077
Number of pages28
Issue number11
StatePublished - 1 Nov 2018


  • Approximation algorithms
  • Computational geometry
  • Wireless networks

ASJC Scopus subject areas

  • General Computer Science
  • Computer Science Applications
  • Applied Mathematics


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