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dc.contributor.authorFotakis, Dimitris A.
dc.contributor.authorNikoletseas., Sotiris E.
dc.contributor.authorLesta, Vicky Papadopoulou
dc.contributor.authorSpirakis, Paul G.
dc.creatorFotakis, Dimitris A.
dc.date.accessioned2018-11-09T14:52:14Z
dc.date.available2018-11-09T14:52:14Z
dc.date.issued2006-09-01
dc.identifierSCOPUS_ID:33747831692
dc.identifier.issn15708667
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=33747831692&origin=inward
dc.identifier.urihttps://repo.euc.ac.cy/handle/123456789/808
dc.description.abstractThe Frequency Assignment Problem (FAP) in radio networks is the problem of assigning frequencies to transmitters exploiting frequency reuse while keeping signal interference to acceptable levels. The FAP is usually modelled by variations of the graph coloring problem. A Radiocoloring (RC) of a graph G (V, E) is an assignment function Λ : V → N such that | Λ (u) - Λ (v) | ≥ 2, when u, v are neighbors in G, and | Λ (u) - Λ (v) | ≥ 1 when the distance of u, v in G is two. The discrete number of frequencies used is called order and the range of frequencies used, span. The optimization versions of the Radiocoloring Problem (RCP) are to minimize the span (min span RCP) or the order (min order RCP). In this paper, we deal with an interesting, yet not examined until now, variation of the radiocoloring problem: that of satisfying frequency assignment requests which exhibit some periodic behavior. In this case, the interference graph (modelling interference between transmitters) is some (infinite) periodic graph. Infinite periodic graphs usually model finite networks that accept periodic (in time, e.g. daily) requests for frequency assignment. Alternatively, they can model very large networks produced by the repetition of a small graph. A periodic graph G is defined by an infinite two-way sequence of repetitions of the same finite graph Gi (Vi, Ei). The edge set of G is derived by connecting the vertices of each iteration Gi to some of the vertices of the next iteration Gi + 1, the same for all Gi. We focus on planar periodic graphs, because in many cases real networks are planar and also because of their independent mathematical interest. We give two basic results:•We prove that the min span RCP is PSPACE-complete for periodic planar graphs.•We provide an O (n (Δ (Gi) + σ)) time algorithm (where | Vi | = n, Δ (Gi) is the maximum degree of the graph Gi and σ is the number of edges connecting each Gi to Gi + 1), which obtains a radiocoloring of a periodic planar graph G that approximates the minimum span within a ratio which tends tofrac(5, 3) asΔ (Gi) + σ tends to infinity. We remark that, any approximation algorithm for the min span RCP of a finite planar graph G, that achieves a span of at most α Δ (G) + constant, for any α and where Δ (G) is the maximum degree of G, can be used as a subroutine in our algorithm to produce an approximation for min span RCP of asymptotic ratio α for periodic planar graphs.
dc.relation.ispartofJournal of Discrete Algorithms
dc.titleRadiocolorings in periodic planar graphs: PSPACE-completeness and efficient approximations for the optimal range of frequencies
elsevier.identifier.doi10.1016/j.jda.2005.12.007
elsevier.identifier.eid2-s2.0-33747831692
elsevier.identifier.piiS157086670500064X
elsevier.identifier.scopusidSCOPUS_ID:33747831692
elsevier.volume4
elsevier.issue.identifier3
elsevier.coverdate2006-09-01
elsevier.coverdisplaydateSeptember 2006
elsevier.openaccess1
elsevier.openaccessflagtrue
elsevier.aggregationtypeJournal


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