• Title/Summary/Keyword: 최소 비용 신장 트리

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Three Dimensional Euclidean Minimum Spanning Tree for Connecting Nodes of Space with the Shortest Length (공간 노드들의 최단연결을 위한 3차원 유클리드 최소신장트리)

  • Kim, Chae-Kak;Kim, In-Bum
    • Journal of the Korea Society of Computer and Information
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    • v.17 no.1
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    • pp.161-169
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    • 2012
  • In general, Euclidean minimum spanning tree is a tree connecting input nodes with minimum connecting cost. But the tree may not be optimal when applied to real world problems of three dimension. In this paper, three dimension Euclidean minimum spanning tree is proposed, connecting all input nodes of 3-dimensional space with minimum cost. In experiments for 30,000 input nodes with 100% space ratio, the tree produced by the proposed method can reduce 90.0% connection cost tree, compared with the tree by two dimension Prim's minimum spanning tree. In two dimension plane, the proposed tree increases 251.2% connecting cost, which is pointless in 3-dimensional real world. Therefore, the proposed method can work well for many connecting problems in real world space of three dimensions.

A Distributed Algorithm for Maintaining a Minimum Spanning Tree in Dynamic Network (동적 네트워크에서 최소 신장 트리를 유지하는 분산 알고리즘)

  • 김형식;좌경룡
    • Proceedings of the Korean Information Science Society Conference
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    • 2001.04a
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    • pp.739-741
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    • 2001
  • 본 논문은 동적 네트워크에서 최소 신장 트리를 유지하는 문제에 대한 알고리즘을 제안한다. 동적 네트워크란 새로운 간선이 추가되거나 기존의 간선이 삭제 가능한 네트워크를 의미한다. 최소 신장 트리를 찾는 이전의 분산 알고리즘은 동적 변화를 고려하지 않거나 혹은 별도의 자료 구조를 이용하였다. 제안한 알고리즘은 간선의 변화에 대응하여 인접한 노드들에게 변화를 알리고 서로 협력하여 최소 신장 트리를 찾는다 네트워크 G의 전체 노드의 수를 N, 전체 간선의 수를 E, 찾은 최소 신장 트리의 지름을 D라고 할 때, K개의 간선 추가와 삭제에 대하여 각각 min{0(kI)+O(N), O(N log N+E)}와 O(N log k+E)의 메시지 복잡도를 갖는다. 또한 각 경우에 대한 하한 비용을 증명하였다.

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A Proposal of Heuristic Using Zigzag Steiner Point Locating Strategy for GOSST Problem (GOSST 문제 해결을 위한 지그재그 스타이너 포인트 배치 방법을 이용한 휴리스틱의 제안)

  • Kim, In-Bum;Kim, Chae-Kak
    • The KIPS Transactions:PartA
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    • v.14A no.5
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    • pp.317-326
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    • 2007
  • We propose more enhanced heuristic for the GOSST(Grade of Services Steiner Minimum Tree) problem in this paper. GOSST problem is a variation of Steiner Tree problem and to find a network topology satisfying the G-Condition with minimum network construction cost. GOSST problem is known as one of NP-Hard or NP-Complete problems. In previous our research, we proposed a heuristic employing Direct Steiner Point Locating strategy with Distance Preferring MST building strategy. In this paper, we propose new Steiner point locating strategy, Zigzag Steiner point Locating strategy. Through the results of out experiments, we can assert this strategy is better than our previous works. The Distance Zigzag GOSST method which hires the Distance Preferring MST building strategy and Zigzag Steiner point Locating strategy defrays the least network construction cost and brings 31.5% cost saving by comparison to G-MST, the experimental control and 2.2% enhancement by comparison to the Distance Direct GOSST method, the best GOSST method in our previous research.

A Design of Efficient Cluster Sensor Network Using Approximate Steiner Minimum Tree (근사 최소 스타이너 트리를 이용한 효율적인 클러스터 센서 네트워크의 구성)

  • Kim, In-Bum
    • The KIPS Transactions:PartA
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    • v.17A no.2
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    • pp.103-112
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    • 2010
  • Cluster sensor network is a sensor network where input nodes crowd densely around some nuclei. Steiner minimum tree is a tree connecting all input nodes with introducing some additional nodes called Steiner points. This paper proposes a mechanism for efficient construction of a cluster sensor network connecting all sensor nodes and base stations using connections between nodes in each belonged cluster and between every cluster, and using repetitive constructions of approximate Steiner minimum trees. In experiments, while taking 1170.5% percentages more time to build cluster sensor network than the method of Euclidian minimum spanning tree, the proposed mechanism whose time complexity is O($N^2$) could spend only 20.3 percentages more time for building 0.1% added length network in comparison with the method of Euclidian minimum spanning tree. The mechanism could curtail the built trees' average length by maximum 3.7 percentages and by average 1.9 percentages, compared with the average length of trees built by Euclidian minimum spanning tree method.

Efficient Construction of Euclidean Minimum Spanning Tree Using Partial Polynomial-Time Approximation Scheme in Unequality Node Distribution (비 균등 노드 분포환경에서 부분 PTAS를 이용한 효과적인 유클리드 최소신장트리 생성)

  • Kim, In-Bum;Kim, Soo-In
    • Journal of the Korea Society of Computer and Information
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    • v.19 no.6
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    • pp.71-80
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    • 2014
  • Employing PTAS to building minimum spanning tree for a large number of equal distribution input terminal nodes can be a effective way in execution time. But applying PTAS to building minimum spanning tree for tremendous unequal distribution node may lead to performance degradation. In this paper, a partial PTAS reflecting the scheme into specific node dense area is presented. In the environment where 90% of 50,000 input terminal nodes stand close together in specific area, approximate minimum spanning tree by our proposed scheme can show about 88.49% execution time less and 0.86%tree length less than by existing PTAS, and about 87.57%execution time less and 1.18% tree length more than by Prim's naive scheme. Therefore our scheme can go well to many useful applications where a multitude of nodes gathered around specific area should be connected efficiently as soon as possible.

Mechanism for Connecting Input Edges Using Steiner Tree (스타이너 트리를 이용한 입력 선분의 연결)

  • Kim, Joon-Mo;Kim, In-Bum
    • The KIPS Transactions:PartA
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    • v.17A no.5
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    • pp.213-220
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    • 2010
  • In this paper, a mechanism connecting all input edges with minimum length through Steiner tree is proposed. Edges are convertible into communication lines, roads, railroads or trace of moving object. Proposed mechanism could be applied to connect these edges with minimum cost. In our experiments where input edge number and maximum connections per edge are used as input parameters, our mechanism made connection length decrease average 6.8%, while building time for a connecting solution increase average 192.0% comparing with the method using minimum spanning tree. The result shows our mechanism might be well applied to the applications where connecting cost is more important than building time for a connecting solution.

Efficient Connection of Migration Routes with Their Weights Using EGOSST (EGOSST를 이용한 이동 경로의 가중치를 반영한 효과적 연결)

  • Kim, In-Bum
    • The KIPS Transactions:PartA
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    • v.18A no.5
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    • pp.215-224
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    • 2011
  • In this paper, a mechanism connecting all weighted migration routes with minimum cost with EGOSST is proposed. Weighted migration routes may be converted to weighted input edges considered as not only traces but also traffics or trip frequencies of moving object on communication lines, roads or railroads. Proposed mechanism can be used in more wide and practical area than mechanisms considering only moving object traces. In our experiments, edge number, maximum weight for input edges, and detail level for grid are used as input parameters. The mechanism made connection cost decrease average 1.07% and 0.43% comparing with the method using weight minimum spanning tree and weight steiner minimum tree respectively. When grid detail level is 0.1 and 0.001, while each execution time for a connecting solution increases average 97.02% and 2843.87% comparing with the method using weight minimum spanning tree, connecting cost decreases 0.86% and 1.13% respectively. This shows that by adjusting grid detail level, proposed mechanism might be well applied to the applications where designer must grant priority to reducing connecting cost or shortening execution time as well as that it can provide good solutions of connecting migration routes with weights.

Efficient Construction of Large Scale Grade of Services Steiner Tree Using Space Locality and Polynomial-Time Approximation Scheme (공간 지역성과 PTAS를 활용한 대형 GOSST의 효과적 구성)

  • Kim, In-Bum
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.11
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    • pp.153-161
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    • 2011
  • As the problem of GOSST building belongs to NP compete domain, heuristics for the problem ask for immense amount execution time and computations in large scale inputs. In this paper, we propose an efficient mechanism for GOSST construction using space locality PTAS. For 40,000 input nodes with maximum weight 100, the proposed space locality PTAS GOSST with 16 unit areas can reduce about 4.00% of connection cost and 89.26% of execution time less than weighted minimum spanning tree method. Though the proposed method increases 0.03% of connection cost more, but cuts down 96.39% of execution time less than approximate GOSST method (SGOSST) without PTAS. Therefore the proposed space locality PTAS GOSST mechanism can work moderately well to many useful applications where a greate number of weighted inputs should be connected in short time with approximate minimum connection cost.

SGOSST Mechanism for Quality of Service In Network (네트워크 QoS를 위한 SGOSST 메커니즘)

  • Kim, In-Bum
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.9
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    • pp.107-114
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    • 2011
  • Because of boost of communications devices furnishing diverse services and rapid expansion of mobile business, good use and management of the existing network system become very important. Also, offering service corresponding with user communication requirement grades which vary widely in each person, is vital for communication service provider. In this paper, SGOSST, a mechanism of efficient network construction with minimum cost for network QoS is proposed. In experiments, though spending 252.97% more execution times, our SGOSST QoS network consumed 5.11% less connecting costs than the network constructed by weighted minimum spanning tree method. Therefore our mechanism can work well for efficient operation and service providing in the network formed with users and communication devices of various service requirement grade as smart/mobile equipment.

Efficient Construction of Large Scale Steiner Tree using Polynomial-Time Approximation Scheme (PTAS를 이용한 대형 스타이너 트리의 효과적인 구성)

  • Kim, In-Bum
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.47 no.5
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    • pp.25-34
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    • 2010
  • By introducing additional nodes called Steiner points, the problem of Steiner Minimum Tree whose length can be shorter than Minimum Spanning Tree and which connects all input terminal nodes belongs to Non-Polynomial Complete domain. Though diverse heuristic methods can be applied to the problem, most of them may meet serious pains in computing and waiting for a solution of the problem with numerous input nodes. For numerous input nodes, an efficient PTAS approximation method producing candidate unit steiner trees with portals in most bottom layer, merging them hierarchically to construct their parent steiner trees in upper layer and building swiftly final approximation Steiner tree in most top layer is suggested in this paper. The experiment with 16,000 input nodes and designed 16 unit areas in most bottom layer shows 85.4% execution time improvement in serial processing and 98.9% in parallel processing comparing with pure Steiner heuristic method, though 0.24% overhead of tree length. Therefore, the suggested PTAS Steiner tree method can have a wide range applications to build a large scale approximation Steiner tree quickly.