• Title/Summary/Keyword: Hierarchical Network

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Hierarchical Optimal Control of Urban Traffic Networks

  • Park, Eun-Se
    • ETRI Journal
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    • v.5 no.2
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    • pp.17-28
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    • 1983
  • This paper deals with the problem of optimally controlling traffic flows in urban transportation traffic networks. For this, a nonlinear discrete-time model of urban traffic network is first suggested in order to handle the phenomenon of traffic flows such as oversaturatedness and/or undersaturatedness. Then an optimal control problem is formulated and a hierarchical optimization technique is applied, which is based upon a prediction-type two-level method of Hirvonen and Hakkala.

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IPv6 Autoconfiguration for Hierarchical MANETs with Efficient Leader Election Algorithm

  • Bouk, Safdar Hussain;Sasase, Iwao
    • Journal of Communications and Networks
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    • v.11 no.3
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    • pp.248-260
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    • 2009
  • To connect a mobile ad hoc network (MANET) with an IP network and to carryout communication, ad hoc network node needs to be configured with unique IP adress. Dynamic host configuration protocol (DHCP) server autoconfigure nodes in wired networks. However, this cannot be applied to ad hoc network without introducing some changes in auto configuration mechanism, due to intrinsic properties (i.e., multi-hop, dynamic, and distributed nature) of the network. In this paper, we propose a scalable autoconfiguration scheme for MANETs with hierarchical topology consisting of leader and member nodes, by considering the global Internet connectivity with minimum overhead. In our proposed scheme, a joining node selects one of the pre-configured nodes for its duplicate address detection (DAD) operation. We reduce overhead and make our scheme scalable by eliminating the broadcast of DAD messages in the network. We also propose the group leader election algorithm, which takes into account the resources, density, and position information of a node to select a new leader. Our simulation results show that our proposed scheme is effective to reduce the overhead and is scalable. Also, it is shown that the proposed scheme provides an efficient method to heal the network after partitioning and merging by enhancing the role of bordering nodes in the group.

A Scheme for Network Selection and Heterogeneous Handover in Hierarchical Wireless Multiple Access Networks with IMS (IMS를 포함한 계층적 무선 멀티 억세스 네트워크에서의 네트워크 선택 및 핸드오버 기법)

  • Moon, Tae-Wook;Kim, Moon;Cho, Sung-Joon
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.46 no.5
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    • pp.146-153
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    • 2009
  • Recently, the research relative to NGN(Next Generation Network) is progressing in 3GPP(The 3rd Generation Partnership Progect), IETF(Internet Engineering Task Force), and so on. Although user needs frequently mobility which is various service pattern, In accordance with the development of these various applications, IMS(IP Multimedia Subsystem) and hierarchical networks ie, Femtocell/WiBro/3G etc is constructed for more user demands which provide service in anytime, anywhere. It is necessary to optimum network selection criterion which consider to wireless signal quality add to user service profile and service network traffic balance. NGN also needs a method to perform heterogeneous handover and to constraint Ping-pong phenomenon when using existing terminal-based handover decision. This paper proposes scheme for network selection and heterogeneous handover procedure in hierarchical wireless multi-access network based on SIP-MIH(Session Initiation Protocol-Media Independent Handover) with IMS by using user service profile that the considerations are dealing with not only selection and registration of various access network but also easy of developing the terminal.

A Neuro-Fuzzy Modeling using the Hierarchical Clustering and Gaussian Mixture Model (계층적 클러스터링과 Gaussian Mixture Model을 이용한 뉴로-퍼지 모델링)

  • Kim, Sung-Suk;Kwak, Keun-Chang;Ryu, Jeong-Woong;Chun, Myung-Geun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.13 no.5
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    • pp.512-519
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    • 2003
  • In this paper, we propose a neuro-fuzzy modeling to improve the performance using the hierarchical clustering and Gaussian Mixture Model(GMM). The hierarchical clustering algorithm has a property of producing unique parameters for the given data because it does not use the object function to perform the clustering. After optimizing the obtained parameters using the GMM, we apply them as initial parameters for Adaptive Network-based Fuzzy Inference System. Here, the number of fuzzy rules becomes to the cluster numbers. From this, we can improve the performance index and reduce the number of rules simultaneously. The proposed method is verified by applying to a neuro-fuzzy modeling for Box-Jenkins s gas furnace data and Sugeno's nonlinear system, which yields better results than previous oiles.

An Energy Saving Method using Hierarchical Filtering in Sensor Networks (센서 네트워크에서 계층적 필터링을 이용한 에너지 절약 방안)

  • Kim, Jin-Su
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.8 no.4
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    • pp.768-774
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    • 2007
  • This paper proposes how to reduce the amount of data transmitted in each sensor and cluster head in order to lengthen the lifetime of sensor network. This study proposes hierarchical filtering for reducing the sensor's energy dissipation. Hierarchical filtering is to divide sensor network by two tiers when filtering it. First tier performs filtering when transmitting the data from cluster member to cluster head, and second tier performs filtering when transmitting the data from cluster head to base station. This should increase the efficiency of filtering and decrease the inaccuracy of the data compared to the methods which enlarge the filter width to do more filtering.

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A Study on Hierarchical Distributed Intrusion Detection for Secure Home Networks Service (안전한 홈네트워크 서비스를 위한 계층적 분산 침입탐지에 관한 연구)

  • Yu, Jae-Hak;Choi, Sung-Back;Yang, Sung-Hyun;Park, Dai-Hee;Chung, Yong-Wha
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.18 no.1
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    • pp.49-57
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    • 2008
  • In this paper, we propose a novel hierarchical distributed intrusion detection system, named HNHDIDS(Home Network Hierarchical Distributed Intrusion Detection System), which is not only based on the structure of distributed intrusion detection system, but also fully consider the environment of secure home networks service. The proposed system is hierarchically composed of the one-class support vector machine(support vector data description) and local agents, in which it is designed for optimizing for the environment of secure home networks service. We support our findings with computer experiments and analysis.

Authentication Mechanism for Secure Binding Update and Fast Handover in the Generalized Hierarchical MIPv6 (일반화된 계층적 MIPv6 환경에서의 안전한 바인딩 업데이트 및 Fast Handover를 위한 인증 메커니즘)

  • Park, Chang-Seop;Kang, Hyun-Sun
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.18 no.2
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    • pp.107-115
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    • 2008
  • In this paper, a secure and efficient binding update protocol as well as a handover protocol are proposed in the generalized hierarchical MIPv6 environment. Contrary to the conventional hierarchical MIPv6 environment where a foreign network is a small-scaled MAP domain, a large-scaled MAP domain consisting of several MAPs which are connected hierarchically is considered in the proposed protocol for the mechanism to support fast and secure mobility. It is also analyzed the security of the proposed protocol under the various attack scenarios.

Karyotype Classification of The Chromosome Image using Hierarchical Neural Network (계층형 신경회로망을 이용한 염색체 영상의 핵형 분류)

  • 장용훈
    • Journal of the Korea Computer Industry Society
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    • v.2 no.8
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    • pp.1045-1054
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    • 2001
  • To improve classification accuracy in this paper, we proposed an algorithm for the chromosome image reconstruction in the image preprocessing part and also proposed the pattern classification method using the hierarchical multilayer neural network(HMNN) to classify the chromosome karyotype. It reconstructed chromosome images for twenty normal human chromosome by the image reconstruction algorithm. The four morphological and ten density feature parameters were extracted from the 920 reconstructed chromosome images. The each combined feature parameters of ten human chromosome images were used to learn HMNN and the rest of them were used to classify the chromosome images. The experimental results in this paper were composed to optimized HMNN and also obtained about 98.26% to recognition ratio.

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Joint Hierarchical Modulation and Network Coding for Asymmetric Data Rate Transmission over Multiple-Access Relay Channel (다중 접속 릴레이 채널에서 비대칭 데이터 전송을 위한 계층 변조 및 네트워크 코딩 결합 기법)

  • You, Dongho;Kim, Dong Ho
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.41 no.7
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    • pp.747-749
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    • 2016
  • We consider a time-division multiple-access relay channel (MARC), in which two source nodes (SNs) transmit data with different data rate to a destination node (DN) with the help of a relay node (RN) using network coding (NC). However, due to its asymmetric data rate, the RN cannot combine the received bits by XOR NC. In this paper, we compare with the problem of asymmetric data rates by using zero padding and hierarchical 16QAM.

Analytical Approach of New Random-walk Based Mobility Management Scheme in IP-based Mobile Networks

  • Song, Myungseok;Cho, Jun-Dong;Jeong, Jongpil
    • International Journal of Advanced Culture Technology
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    • v.2 no.1
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    • pp.1-13
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    • 2014
  • In next-generation wireless networks, provisioning of IP-based network architecture and seamless transmission services are very important issues for mobile nodes. For this reason, a mobility management mechanism to support global roaming is highly regarded. These technologies bring a broader life by using a global roaming account through the connection of multiple devices or technology to mobile users; they also provide real-time multimedia services. This paper presents a comprehensive performance analysis of fast handover for hierarchical mobile IPv6 (F-HMIPv6), hierarchical mobile IPv6 (HMIPv6), Proxy Mobile IPv6 (PMIPv6), and fast Proxy Mobile IPv6 (FPMIPv6) using the fluid-flow model and random-walk model. As a result, the location update cost of the PMIPv6 and FPMIPv6 is better than that of HMIPv6 and F-HMIPv6. These results suggest that the network-based mobility management technology is superior to the hierarchical mobility management technology in the mobility environment.