• The KIPS Transactions:PartA
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• v.17A no.3
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• pp.113-120
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• 2010

Even networks were introduced as a class of fault-tolerant multiprocessor networks and analyzed so many useful properties and algorithms such as simple routing algorithms, maximal fault tolerance, node disjoint path. Introduced routing algorithms and node disjoint path algorithms are proven to be optimal. However, it has not been introduced to constructing scheme for edge-disjoint spanning trees in even networks. The design of edge-disjoint spanning trees is a useful scheme to analyze for measuring the efficiency of fault tolerant of interconnection network and effective broadcasting. Introduced routing algorithm or node disjoint path algorithm are for the purpose of routing or node disjoint path hence they are not applicable to constitute edge disjoint spanning tree. In this paper, we show a construction algorithm of edge-disjoint spanning trees in even network $E_d$.

• Journal of the Korea Society of Computer and Information
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• v.19 no.2
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• pp.143-150
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• 2014

In this paper, we propose the delivery problem on trees and two algorithms for the problem. The delivery problem on trees is that of minimizing the object delivery time from one node to another node using n various speed robots. Our first algorithm generates an optimal solution with some restrictions in handover places. In this algorithm, we assume that the handover can be made at a vertex of given tree. We try to find the handover places and the robots participate in handover from the start node to the destination node. The second algorithm extends the first one to remove the restriction about the handover places. The second algorithm still generates an optimal solution. The time complexities of both algorithms are $O((n+m)^2)$ where n is the number of robots and m is the number of nodes.

• Journal of the Korea Society of Computer and Information
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• v.26 no.6
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• pp.55-61
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• 2021

As the demand for distance education increases, it is necessary to present a problem solving path through a learning tracking algorithm in order to support the efficient learning of learners. In this paper, we proposed a problem solving path of various difficulty levels in various subjects by supplementing the existing learning tracking algorithm. Through the data set obtained through the path for solving the learner's problem, the path through the prim's minimum Spanning tree was secured, and the optimal problem solving path through the recursive neural network was suggested through the path data set. As a result of the performance evaluation of the contents proposed in this paper, it was confirmed that more than 52% of the test subjects included the problem solving path suggested in the problem solving process, and the problem solving time was also improved by more than 45%.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.556-559
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• 2011

화상 회의, 개인 인터넷 방송 등의 실시간 응용 시스템을 위해 오버레이 멀티캐스트 트리가 충족 시켜야 하는 조건은 크게 두 가지이다. 트리상의 노드의 차수가 적절한 상한이어야 하고, 멀티캐스트 트리의 지름, 즉 트리 상의 경로 거리로 볼 때 가장 먼 두 사용자 간의 거리가 작아야 한다는 것이다. 본 논문에서는 위의 두 조건을 고려한 실시간 방송 IPTV 방송서비스를 전송하는 시스템을 구성하고, 실시간 방송 서비스에 적합한 오버레이 멀티캐스트 트리를 구성하는 알고리즘을 제안하고자 한다. 이 알고리즘은 Cost값을 각 End-User들의 가용대역폭과 이웃 End-User들과의 Delay, 그리고 요구대역폭을 제안하는 Cost-Function에 적용한 후, M.S.T(Minimum Spanning Tree) 알고리즘을 활용하여 최적의 트리를 구성하게 된다.

• The Transactions of the Korea Information Processing Society
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• v.5 no.3
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• pp.671-680
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• 1998

Network services, such as teleconferencing, remote diagnostics and education, and CSCW require multicasting. Multicast routing methods can be divided into two categories. One is the shortest path tree method and the other is the minimal Steiner tree method. The latter has an advantage over the former in that only one Steiner tree is needed for a group. However, finding a minimal Steiner tree is an NP-complete problem and it is necessary to find an efficient heuristic algorithm. In this paper, we present an evolutionary optimization method for finding minimal Steiner trees without sacrificing too much computational efforts. In particular, we describe a tree-based genetic encoding scheme which is in sharp constast with binary string representations usually adopted in convetional genetic algorithms. Experiments have been performed to show that the presented method can find optimal Steiner trees for given vetwork configurations. Comparitivie studies have shown that the evolutionary method finds on average a better solution than other conventional heustric algorithms.

• Journal of the Korea Society of Computer and Information
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• v.20 no.5
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• pp.31-39
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• 2015

The degree-constrained minimum spanning tree (d-MST) problem is considered NP-complete for no exact solution-yielding polynomial algorithm has been proposed to. One thus has to resort to an heuristic approximate algorithm to obtain an optimal solution to this problem. This paper therefore presents a polynomial time algorithm which obtains an intial solution to the d-MST with the help of Kruskal's algorithm and performs k-opt on the initial solution obtained so as to derive the final optimal solution. When tested on 4 graphs, the algorithm has successfully obtained the optimal solutions.

• The Transactions of the Korea Information Processing Society
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• v.5 no.4
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• pp.1033-1043
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• 1998

In this paper, we present an improved multicasting path assignment algorithm based on the minimum cost spanning tree. In the method presented in this paper, a multicasting path is assigned preferentially when a node to be received is found among the next degree nodes of the searching node in the multicasting path assignment of the constrained steiner tree (CST). If nodes of the legacy group exist between nodes of the new group, a new path among the nodes of new group is assigned as long as the nodes may be excluded from the new multicasting path assignment taking into consideration characteristics of nodes in the legacy group. In assigning the multicasting path additionally, where the source and destination nodes which can be set for the new multicasting path exist in the domain of identical network (local area network) and conditions for degree constraint are satisfied, a method of producing and assigning a new multicasting path is used. The results of comparison of CST with MCSTOP, MCSTOp algorithm enhanced performance capabilities about the communication cost, the propagation delay, and the computation time for the multicasting assignment paths more than CST algorithm. Further to this, research activities need study for the application of the international standard protocol(multicasting path assignment technology in the multipoint communication service (MCS) of the ITU-T T.120).

• Proceedings of the Korean Information Science Society Conference
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• 2002.04a
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• pp.139-141
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• 2002

차세대 인터넷은 유.무선이 혼합된 초고속의 네트워크 구조에서 사용자가 시간과 장소에 관계없이 실시간 멀티미디어 서비스를 제공받을 수 있는 환경으로 변화될 것이다. 이 변화에 잘 대응하기 위해서는 이동하는 사용자에게 효율적으로 멀티캐스팅을 지원할 필요가 있다. Mobile IP 기반의 이동 네트워크 환경에서 멀티캐스팅을 지원하기 위만 연구는 크게 HA(Home Agent)기반 방식과 FA(Foreign Agent)기반 방식으로 연구되어 왔다. HA기반 방식은 데이터 전송 경로의 비최적화, 비효율적인 데이터 중복 전송의 문제를 가지고, FA기반 방식은 빈번한 멀티캐스트 전송 트리의 재구성으로 인한 오버헤드의 문제를 내포하고 있다. 따라서, 본 논문에서는 MH(Mobile Host)의 잦은 핸드오프(handoff) 문제를 해결하고, 멀티캐스트 전송 트리의 재구성으로 인한 오버헤드를 줄이는 방법을 제안한다. 이 방법은 계층적 트리 구조의 도메인을 구성하고 MFA(Multicast Forwarding Agent)와 홉 카운터로 정의된 MFA의 서비스 범위를 사용한다. 또한, MFA를 Root FA들 중에서 선택함으로써 멀티캐스트 전송 트리 재구성의 회수를 줄여 Mobile IP를 이용하는 MH에게 효과적인 멀티캐스팅을 제공한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2001.10b
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• pp.1537-1540
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• 2001

IETF 이동 IP에서는 원격 가입 방식과 양방향 터널링 방식의 두 가지 멀티캐스트 프로토콜을 제안하고 있다. 원격 가입 방식은 데이터 패킷의 최적 경로를 보장하지만 호스트의 이동성이 활발할 경우 멀티캐스트 트리의 재구성이 빈번하게 발생할 수 있다. 양방향 터널링 방식은 알고리즘이 간단하고 안정적인 반면 비효율적인 전송경로에 기인한 삼각형 라우팅 문제와 터널집중화문제를 발생시킨다. 본 논문에서는 에이전트의 멀티캐스트 그룹 가입과 탈퇴를 최대한 억제하여 트리 재구성 비용을 절감하였다. 또한 터널링에이전트(TA: Tunneling Agent)의 개념을 도입하여, MIP-RS와 MIP-BT의 문제점을 동시에 개선시킴과 동시에 네트워크에 크게 영향을 받지 알고 일정 수준 이상의 성능을 보장하는 방법을 제안한다.

• The KIPS Transactions:PartC
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• v.16C no.1
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• pp.83-90
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• 2009

Wireless Sensor Network (WSN) is a wireless network that gathers information from remote area with autonomously configured routing path. We propose a fusion based routing for a 'convergecast' in which all sensors periodically forward collected data to a base station. Previous researches dealt with only full-fusion or no-fusion case. Our Fusion rate based Spanning Tree (FST) can provide effective routing topology in terms of total cost according to all ranges of fusion rate f ($0{\leq}f{\leq}1$). FST is optimum for convergecast in case of no-fusion (f = 0) and full-fusion (f = 1) and outperforms the Shortest Path spanning Tree (SPT) or Minimum Spanning Tree (MST) for any range of f (0 < f < 1). Simulation of 100-node WSN shows that the total length of FST is shorter than MST and SPT nearby 31% and 8% respectively in terms of topology lengths for all range of f. As a result, we confirmed that FST is a very useful WSN topology.