• Title/Summary/Keyword: Shortest Path Routing

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Internet Multicast Routing Protocol Model using MPLS Networks (MPLS망을 이용한 인터넷 멀티캐스트 라우팅 프로토콜 모델)

  • Kim, Young-Jun
    • The KIPS Transactions:PartC
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    • v.10C no.1
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    • pp.77-86
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    • 2003
  • This paper describes the new method for Internet multicast routing protocols using MPLS (Multiprotocol Label Switching) networks. Internet multicast routing protocols are divided into three categories in terms if tree types and tree characteristics : a shortest path tree a shared tree and hybrid tree types. MPLS should support various multicast mechanisms because of extremely different IP multicast architectures, such as uni-/bi-directional link, Flooding/prune tree maintenance mechanism. the existence of different tree types with the same group, etc. There are so many problems over MPLS multicast that the solutions can't be easily figured out. In this Paper, we make a few assumptions on which the solutions of IP multicast routing protocols over MPLS networks are given. A broadcasting label is defined for the shortest path tree types. Cell interleaving problems of the shared tree types is solved by using block-based transmission mechanism. Finally, the existing hybrid-type multicast routing protocol is reasonably modified Shortest Path tree type to support MPLS multicast. It has been shown that these modifications give better performance (transmission delay) than the orignal method.

A Shortest Path Routing Algorithm using a Modified Hopfield Neural Network (수정된 홉필드 신경망을 이용한 최단 경로 라우팅 알고리즘)

  • Ahn, Chang-Wook;Ramakrishna, R.S.;Choi, In-Chan;Kang, Chung-Gu
    • Journal of KIISE:Information Networking
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    • v.29 no.4
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    • pp.386-396
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    • 2002
  • This paper presents a neural network-based near-optimal routing algorithm. It employs a modified Hopfield Neural Network (MHNN) as a means to solve the shortest path problem. It uses every piece of information that is available at the peripheral neurons in addition to the highly correlated information that is available at the local neuron. Consequently, every neuron converges speedily and optimally to a stable state. The convergence is faster than what is usually found in algorithms that employ conventional Hopfield neural networks. Computer simulations support the indicated claims. The results are relatively independent of network topology for almost all source-destination pairs, which nay be useful for implementing the routing algorithms appropriate to multi -hop packet radio networks with time-varying network topology.

A Routing Protocol for Improving Path Stability in Mobile Ad-hoc Networks (애드혹 네트워크에서 경로 안정성 향상을 위한 라우팅 프로토콜)

  • Kim, Hyungjik;Choi, Sunwoong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.7
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    • pp.1561-1567
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    • 2015
  • Nodes of Mobile ad-hoc network usually use the energy-limited battery. Balanced energy consumptionis important to maintain path's stability. In this paper, we focus on improving the stability of the routing path in mobile ad-hoc networks. For that purpose, we propose a new routing protocol to find the highest minimum node residual energy path among shortest paths. The largest path of minimum value of the remain energy has a longer life than other paths to improve the reliability to data-transmission. Using ns-3 simulator, we show that the proposed routing protocol can provide more long-life stable routing path than AODV and EA-AODV.

Fast and Scalable Path Re-routing Algorithm Using A Genetic Algorithm (유전자 알고리즘을 이용한 확장성 있고 빠른 경로 재탐색 알고리즘)

  • Lee, Jung-Kyu;Kim, Seon-Ho;Yang, Ji-Hoon
    • The KIPS Transactions:PartB
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    • v.18B no.3
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    • pp.157-164
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    • 2011
  • This paper presents a fast and scalable re-routing algorithm that adapts to dynamically changing networks. The proposed algorithm integrates Dijkstra's shortest path algorithm with the genetic algorithm. Dijkstra's algorithm is used to define the predecessor array that facilitates the initialization process of the genetic algorithm. After that, the genetic algorithm re-searches the optimal path through appropriate genetic operators under dynamic traffic situations. Experimental results demonstrate that the proposed algorithm produces routes with less traveling time and computational overhead than pure genetic algorithm-based approaches as well as the standard Dijkstra's algorithm for large-scale networks.

A Study on the Efficient Design of WDM Network and Shortest Path Routing Scheme (WDM 네트워크의 효율적인 설계와 최단경로 라우팅 방안에 관한 연구)

  • 오호일;김장복
    • Proceedings of the IEEK Conference
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    • 2001.06a
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    • pp.349-352
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    • 2001
  • In this paper, the design of WDM network using the traffic estimation modeling is implemented. Because of the lack of data of real traffic volumes, the information of statistic data is used. Using the modeling results, the WDM channels are assinged for each node, and the network is simulated using OPNET simulation tools. Here, we investigate the shortest routing scheme using OPNET simulation tools. As a result the realistic WDM network design for Korea topology is proposed.

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Edge-Node Deployed Routing Strategies for Load Balancing in Optical Burst Switched Networks

  • Barradas, Alvaro L.;Medeiros, Maria Do Carmo R.
    • ETRI Journal
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    • v.31 no.1
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    • pp.31-41
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    • 2009
  • Optical burst switching is a promising switching paradigm for the next IP-over-optical network backbones. However, its burst loss performance is greatly affected by burst contention. Several methods have been proposed to address this problem, some of them requiring the network to be flooded by frequent state dissemination signaling messages. In this work, we present a traffic engineering approach for path selection with the objective of minimizing contention using only topological information. The main idea is to balance the traffic across the network to reduce congestion without incurring link state dissemination protocol penalties. We propose and evaluate two path selection strategies that clearly outperform shortest path routing. The proposed path selection strategies can be used in combination with other contention resolution methods to achieve higher levels of performance and support the network reaching stability when it is pushed under stringent working conditions. Results show that the network connectivity is an important parameter to consider.

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A Proactive Dissemination Protocol using Residual Energy and Signal Strength for WSNs (무선 센서 네트워크에서 에너지 잔량과 신호세기를 이용한 데이터 전송 프로토콜)

  • Park, Soo-Yeon;Kim, Moon-Seong;Jeong, Eui-Hoon;Bang, Young-Cheo
    • Journal of Internet Computing and Services
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    • v.11 no.4
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    • pp.33-39
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    • 2010
  • In this paper, a data dissemination protocol that transmits data collected for Wireless Sensor Networks (WSNs) is newly proposed, and the proposed proactive protocol takes into account energy consumption minimized and delay time disseminated. The well-known SPMS (Shortest Path Mined SPIN) forms the shortest path-based routing table obtained by Bellman Ford Algorithm (BFA) and disseminates data using a multi-hop path in order to minimize energy consumption. The mentioned properties of SPMS cause memory burden to create and maintain the routing tables. In addition, whenever BFA is executed, it is necessary to suffer from the energy consumption and traffic occurred. In order to overcome this problem, a proactive dissemination protocol using Residual Energy and Signal Strength, called RESS, is proposed in this paper. Simulation results show that RESS outperforms SPMS up to 84% in terms of the number of traffic messages and the transmitted delay time of RESS is similar to that of SPMS using the shortest path.

Muli-path Constraint-based Routing Algorithms for MPLS Traffic Engineering (MPLS 트래픽 엔지니어링을 위한 다중경로 Constraint-based 라우팅 알고리즘)

  • Lee, Jae-Young;Kim, Byung-Chul
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.5B
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    • pp.508-519
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    • 2004
  • This paper proposed two multi-path constraint-based routing algorithms for Internet traffic engineering using MPLS. In normal constraint-based shortest path first (CSPF) routing algorithm, there is a high probability that it cannot find the required path through networks for a large bandwidth constraint that is one of the most important constraints for traffic engineering, The proposed algorithms can divide the bandwidth constraint into two or more sub-constraints and find a constrained path for each sub-constraint, if there is no single path satisfying the whole constraint. Extensive simulations show that they enhance the success probability of path setup and the utilization of network resources.

A Development of Wire Path Searching Module Using Extended RCA Method (Extended RCA법을 이용한 자동차 전장 경로 설정 모듈의 개발)

  • 임성혁;이수홍
    • Korean Journal of Computational Design and Engineering
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    • v.1 no.1
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    • pp.33-44
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    • 1996
  • This study deals with the development of wire path searching module as a part of automobile wire harness design system. Wire path searching module manages the free space, finds transition locations, and creates bundle paths to dramatically reduce a tedious iterative routing process which results in easy optimization of the bundle paths. A prime policy in the system configuration is to compromise between man's and computer's ability, and make it possible a designer's leading role in designing process. Human input is indispensable to cope with the special cases which were not considered in the initial design stage of the system. In this study, we improve the previous shortest-path-finding algorithm, (VGraph and RCA method) into a new method called Extended RCA. Bundles, connectors and transitions are handled as objects so one can manage and modify physical properties of the objects easily. Therefore a verification is allowed at any desired stage of design. The reuse of previous result is facilitated by using Dependency Structure, which represents the mutual relations among connectors, transitions, and bundles. Dependency Structure makes it possible the elimination of redundant calculating process, and consequently shorter routing time.

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On Sensor Network Routing for Cloaking Source Location Against Packet-Tracing

  • Tscha, Yeong-Hwan
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.3B
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    • pp.213-224
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    • 2009
  • Most of existing routing methods in wireless sensor networks to counter the local eavesdropping-based packet-tracing deal with a single asset and suffer from the packet-delivery latency as they prefer to take a separate path of many hops for each packet being sent. Recently, the author proposed a routing method, GSLP-w(GPSR-based Source-Location Privacy with crew size w), that enhances location privacy of the packet-originating node(i.e., active source) in the presence of multiple assets, yet taking a path of not too long. In this paper, we present a refined routing(i.e., next-hop selection) procedure of it and empirically study privacy strength and delivery latency with varying the crew size w(i.e., the number of packets being sent per path). It turns out that GSLP-w offers the best privacy strength when the number of packets being sent per path is randomly chosen from the range [$1,h_{s-b}/4$] and that further improvements on the privacy are achieved by increasing the random walk length TTLrw or the probability prw that goes into random walk(where, $h_{s-b}$ is the number of hops of the shortest path between packet-originating node s and sink b).