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Page 2 Lecture Notes in Computer Science 2865 Edited by G. Goos ...

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192 S.O. Krumke et al.1. From the given problem <strong>in</strong>stance, construct the undirected complete edge weightedgraph G c(V,E c), where the weight of each edge {u, v} <strong>in</strong> E c is equal to the powerthreshold value p(u, v).2. Use any approximation algorithm A for the Mctdc problem on graph G c(V,E c)with diameter bound 2D, and obta<strong>in</strong> a spann<strong>in</strong>g tree T (V,E T )ofG c.3. For each node (transceiver) u, assign a power value f(u) equal to the weight of thelargest edge <strong>in</strong>cident on u <strong>in</strong> T .Fig. 1. Outl<strong>in</strong>e of Heuristic Gen-Diameter-Total-PowerTheorem 1. Let n denote the number of nodes <strong>in</strong> an <strong>in</strong>stance of the〈Undir, Diameter, TotalP〉 problem. There is a constant δ 1 , 0

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