• Title/Summary/Keyword: Tree simulation

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A New RFID Tag Anti-Collision Algorithm Using Collision-Bit Positioning (충돌 비트 위치를 활용한 RFID 다중 태그 인식 알고리즘)

  • Lee Hyun-Ji;Kim Jong-Deok
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.4A
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    • pp.431-439
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    • 2006
  • RFID Anti-Collision technique is needed to avoid collision problem caused by Radio interference between tags in the same RFID Reader area. It affects the performance and reliability of the RFID System. This paper propose the QT-CBP(Query Tree with Collision-Bit Positioning) Algorithm based on the QT(Query Tree) algorithm. QT-CBP Algorithm use precise collision bit position to improve the performance. We demonstrated the proposed algorithm by simulation. Our algorithm outperformed when each tag bit streams are the more duplicate and the number of tags is increased, compared with QT.

A P2P Overlay Multicast Tree Construction Algorithm Considering Peer Stability and Delay (피어의 안정성과 지연을 동시에 고려한 P2P 오버레이 멀티캐스트 트리 구성 알고리즘)

  • Kwon, Oh-Chan;Yoon, Chang-Woo;Song, Hwang-Jun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.4B
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    • pp.305-313
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    • 2011
  • This paper presents a P2P (Peer-to-Peer) overlay multicast tree construction algorithm to support stable multimedia service over the Internet. While constructing a multicast tree, it takes into account not only the link delay, but also peer stability. Since peers actually show dynamic and unstable behavior over P2P-based network, it is essential to consider peer stability. Furthermore, the weighting factor between link delay and peer stability is adaptively controlled according to the characteristics of the multicast tree. Basically, Genetic algorithm is employed to obtain a near optimal solution with low computational complexity. Finally, simulation results are provided to show the performance of the proposed algorithm.

Construction of Energy-Efficient Data Aggregation Tree in Wireless Sensor Networks (무선 센서 네트워크에서 에너지 효율적인 데이터 병합 트리의 생성 방법)

  • Choi, Hyun-Ho
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.41 no.9
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    • pp.1057-1059
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    • 2016
  • A construction method of energy-efficient data aggregation tree is proposed by considering a tradeoff between acquisition time and energy consumption in wireless sensor networks. This proposed method constructs the data aggregation tree to minimize the link cost between the connected nodes for reducing energy consumption, while minimizing the maximum distance between sensor nodes and a sink node for rapid information gathering. Simulation results show that the proposed aggregation tree can be generated with low complexity and achieves high energy efficiency compared to conventional methods.

Logic tree approach for probabilistic typhoon wind hazard assessment

  • Choun, Young-Sun;Kim, Min-Kyu
    • Nuclear Engineering and Technology
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    • v.51 no.2
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    • pp.607-617
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    • 2019
  • Global warming and climate change are increasing the intensity of typhoons and hurricanes and thus increasing the risk effects of typhoon and hurricane hazards on nuclear power plants (NPPs). To reflect these changes, a new NPP should be designed to endure design-basis hurricane wind speeds corresponding to an exceedance frequency of $10^{-7}/yr$. However, the short typhoon and hurricane observation records and uncertainties included in the inputs for an estimation cause significant uncertainty in the estimated wind speeds for return periods of longer than 100,000 years. A logic-tree framework is introduced to handle the epistemic uncertainty when estimating wind speeds. Three key parameters of a typhoon wind field model, i.e., the central pressure difference, pressure profile parameter, and radius to maximum wind, are used for constructing logic tree branches. The wind speeds of the simulated typhoons and the probable maximum wind speeds are estimated using Monte Carlo simulations, and wind hazard curves are derived as a function of the annual exceedance probability or return period. A logic tree decreases the epistemic uncertainty included in the wind intensity models and provides reasonably acceptable wind speeds.

Inter-Process Correlation Model based Hybrid Framework for Fault Diagnosis in Wireless Sensor Networks

  • Zafar, Amna;Akbar, Ali Hammad;Akram, Beenish Ayesha
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.2
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    • pp.536-564
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    • 2019
  • Soft faults are inherent in wireless sensor networks (WSNs) due to external and internal errors. The failure of processes in a protocol stack are caused by errors on various layers. In this work, impact of errors and channel misbehavior on process execution is investigated to provide an error classification mechanism. Considering implementation of WSN protocol stack, inter-process correlations of stacked and peer layer processes are modeled. The proposed model is realized through local and global decision trees for fault diagnosis. A hybrid framework is proposed to implement local decision tree on sensor nodes and global decision tree on diagnostic cluster head. Local decision tree is employed to diagnose critical failures due to errors in stacked processes at node level. Global decision tree, diagnoses critical failures due to errors in peer layer processes at network level. The proposed model has been analyzed using fault tree analysis. The framework implementation has been done in Castalia. Simulation results validate the inter-process correlation model-based fault diagnosis. The hybrid framework distributes processing load on sensor nodes and diagnostic cluster head in a decentralized way, reducing communication overhead.

A Method of Selecting Candidate Core for Shared-Based Tree Multicast Routing Protocol (공유기반 트리 멀티캐스트 라우팅 프로토콜을 위한 후보 코어 선택 방법)

  • Hwang Soon-Hwan;Youn Sung-Dae
    • Journal of Korea Multimedia Society
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    • v.7 no.10
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    • pp.1436-1442
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    • 2004
  • A shared-based tree established by the Core Based Tree multicast routing protocol (CBT), the Protocol Independent Multicast Sparse-Mode(PIM-SM), or the Core-Manager based Multicast Routing(CMMR) is rooted at a center node called core or Rendezvous Point(RP). The routes from the core (or RP) to the members of the multicast group are shortest paths. The costs of the trees constructed based on the core and the packet delays are dependent on the location of the core. The location of the core may affect the cost and performance of the shared-based tree. In this paper, we propose three methods for selecting the set of candidate cores. The three proposed methods, namely, k-minimum average cost, k-maximum degree, k-maximum weight are compared with a method which select the candidate cores randomly. Three performance measures, namely, tree cost, mean packet delay, and maximum packet delay are considered. Our simulation results show that the three proposed methods produce lower tree cost, significantly lower mean packet delay and maximum packet delay than the method which selects the candidate cores randomly.

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An Algorithm of Constructing Multiple Tree for Group Multicast with Bandwidth Constraint (대역폭 제약 그룹 멀티캐스트를 위한 다중 트리 구성 알고리즘)

  • 구봉규;박태근;김치하
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.3B
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    • pp.305-313
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    • 2004
  • Group multicast refers to the kind of multicast in which every member of a group is allowed to transmit data to the group. The goal of routing algorithms for group multicast is to construct a set of low cost multicast trees including all the group members with QoS (e.g., bandwidth) constraint. There have been several algorithms proposed: source tree and shared tree approaches. However, the latter approach has a low success rate in constructing a shared multicast tree, and the former approach suffers from high control overhead and low scalability as stoup size increases. In this paper, we present a heuristic algorithm which varies the number of multicast trees according to the network load. The simulation results show not only that our algorithm outperforms the shared tree approach in terms of the success rate, but also that it has lower control overhead than the source tree approach while guaranteeing the same success rate.

Performance of Capability Aware Spanning Tree Algorithm for Bridged Networks (브리지 망에서 지원능력을 고려한 스패닝 트리 생성 알고리듬의 성능 분석)

  • Koo Do-Jung;Yoon Chong-Ho;Lim Jae-Myung
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.5B
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    • pp.421-429
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    • 2006
  • In this paper, we suggest a new capability aware spanning tree(CAST) algorithm for Ethernet bridged network which consists of both legacy Ethernet bridges and synchronous Ethernet ones. The legacy spanning tree algorithm specified in IEEE 802.1D standard select root bridge and construct tree based on each bridge's identifier without consideration of each bridge's capability. Thus we note that if the legacy STP may assign a synchronous bridge as a root bridge, the bridge may become a bottleneck for asynchronous trafficbecause of bandwidth limitation for asynchronous traffic. In this paper, the CAST algorithm constructsmultiple spanning tree by using of bridge capability and makes different transmission path for each traffics, can removes this kind of defect. From the simulation results, we can see that the proposed CAST algorithm has better end-to-end delay performance than legacy spanning tree algorithm in high traffic load and multiple hops environment.

A Compressed Hot-Cold Clustering to Improve Index Operation Performance of Flash Memory-SSD Systems (플래시메모리-SSD의 인덱스 연산 성능 향상을 위한 압축된 핫-콜드 클러스터링 기법)

  • Byun, Si-Woo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.1
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    • pp.166-174
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    • 2010
  • SSDs are one of the best media to support portable and desktop computers' storage devices. Their features include non-volatility, low power consumption, and fast access time for read operations, which are sufficient to present flash memories as major database storage components for desktop and server computers. However, we need to improve traditional index management schemes based on B-Tree due to the relatively slow characteristics of flash memory operations, as compared to RAM memory. In order to achieve this goal, we propose a new index management scheme based on a compressed hot-cold clustering called CHC-Tree. CHC-Tree-based index management improves index operation performance by dividing index nodes into hot or cold segments and compressing pointers and keys in the index nodes and clustering the hot or cold segments. The offset compression techniques using unused free area in cold index node lead to reduce the number of slow erase operations in index node insert/delete processes. Simulation results show that our scheme significantly reduces the write and erase operation overheads, improving the index search performance of B-Tree by up to 26 percent, and the index update performance by up to 23 percent.

FST : Fusion Rate Based Spanning Tree for Wireless Sensor Networks (데이터 퓨전을 위한 무선 센서 네트워크용 스패닝 트리 : FST)

  • Suh, Chang-Jin;Shin, Ji-Soo
    • 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.