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

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Topology Control Problems 1952. For any fixed D ≥ 1, a (1,O(D log n))-approximation algorithm for theMctdc problem is presented <strong>in</strong> [2]. Thus, for any fixed D ≥ 1, we canobta<strong>in</strong> a (2,O(D log n))-approximation algorithm for the 〈Undir, Diameter,TotalP〉 problem.3. For any D and any fixed ɛ>0,a(1,O(n ɛ log n))-approximation algorithmfor the Mctdc problem is presented <strong>in</strong> [9]. Thus, for this case, we can obta<strong>in</strong>a (2,O(n ɛ log n))-approximation algorithm for the 〈Undir, Diameter,TotalP〉 problem.The above results are for <strong>in</strong>duc<strong>in</strong>g a bounded diameter graph over all the nodes.We can also obta<strong>in</strong> an approximation algorithm for the Ste<strong>in</strong>er version of the〈Undir, Diameter, TotalP〉 problem where only a specified subset of thenodes (called the term<strong>in</strong>als) need to be connected together <strong>in</strong>to a graph ofbounded diameter. Lett<strong>in</strong>g η denote the number of term<strong>in</strong>als, reference [11]presents an (O(log η),O(log η))-approximation algorithm for the Ste<strong>in</strong>er versionof the Mctdc problem. Us<strong>in</strong>g this approximation algorithm <strong>in</strong> Step 2 of Figure 1,we obta<strong>in</strong> an (O(log η),O(log η))-approximation algorithm for the Ste<strong>in</strong>er versionof the 〈Undir, Diameter, TotalP〉 problem.5 Asymmetric Power Threshold Model ResultsIn this section, we consider the 〈Undir, Connected, TotalP〉 problem underthe asymmetric threshold model. We beg<strong>in</strong> with a lower bound on the approximabilityof the problem. This lower bound result can be proven <strong>in</strong> a mannersimilar to that of Theorem 1.Theorem 3. Let n denote the number of transceivers <strong>in</strong> an <strong>in</strong>stance of the〈Undir, Connected, TotalP〉 problem. There is a constant δ, 0

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