Title :
Network Expansion Problem on the Spanning Tree in Graphs
Author :
Li, Jianping ; Zhu, Juanping
Author_Institution :
Dept. of Math., Yunnan Univ., Kunming, China
fDate :
March 31 2009-April 2 2009
Abstract :
Motivated by various network improvement models, we study the problem to add some new edges to satisfy the increasing information demand and keep the underlying structure of the networks unchanged. In this paper we propose the general network expansion problem on the spanning tree in graphs (GNEST), then we present the polynomial equivalence between the GNEST problem and the constrained minimum spanning tree problem (CST), which indicates the GNEST problem is NP-hard. By utilizing an algorithm to solve the CST problem, we can design a PTAS to solve the GNEST problem, and the computational complexity is the same as that of the algorithm given in. Finally we study two special versions of the GNEST problem:the minimum network expansion on spanning tree problem (MNEST) and the minimum-cost network expansion on spanning tree (MCNEST). We design two polynomial-time algorithms to solve these two new problems. To solve the MNEST problem we use T-exchange method on spanning trees. To find the optimal solution of the MCNEST problem, we utilize lexicographical order and modify Sollinpsilas algorithm to find the minimum spanning tree as required.
Keywords :
computational complexity; trees (mathematics); NP-hard problem; computational complexity; constrained minimum spanning tree problem; general network expansion problem; lexicographical order; minimum-cost network expansion on spanning tree; polynomial equivalence; polynomial-time algorithms; spanning tree in graphs; Algorithm design and analysis; Approximation algorithms; Computational complexity; Computer science; Costs; IP networks; Mathematics; Polynomials; Transportation; Tree graphs; network expansion; spanning tree; strongly;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.336