• Title/Summary/Keyword: Self-Configuration Network

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Management of Neighbor Cell Lists and Physical Cell Identifiers in Self-Organizing Heterogeneous Networks

  • Lim, Jae-Chan;Hong, Dae-Hyoung
    • Journal of Communications and Networks
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    • v.13 no.4
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    • pp.367-376
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    • 2011
  • In this paper, we propose self-organizing schemes for the initial configuration of the neighbor cell list (NCL), maintenance of the NCL, and physical cell identifier (PCI) allocation in heterogeneous networks such as long term evolution systems where lower transmission power nodes are additionally deployed in macrocell networks. Accurate NCL maintenance is required for efficient PCI allocation and for avoiding handover delay and redundantly increased system overhead. Proposed self-organizing schemes for the initial NCL configuration and PCI allocation are based on evolved universal terrestrial radio access network NodeB (eNB) scanning that measures reference signal to interference and noise ratio and reference symbol received power, respectively, transmitted from adjacent eNBs. On the other hand, the maintenance of the NCL is managed by adding or removing cells based on periodic user equipment measurements. We provide performance analysis of the proposed schemes under various scenarios in the respects of NCL detection probability, NCL false alarm rate, handover delay area ratio, PCI conflict ratio, etc.

A Hybrid Software Defined Networking Architecture for Next-Generation IoTs

  • Lee, Ahyoung;Wang, Xuan;Nguyen, Hieu;Ra, Ilkyeun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.2
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    • pp.932-945
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    • 2018
  • Everything in the world is becoming connected and interactive due to the Internet. The future of interactive smart environments such as smart cities, smart industries, or smart farms demand high network bandwidth, high network flexibility, and self-organization systems without costly hardware upgrades, and they provide a sustainable, scalable, and replicable smart environment backbone infrastructure. This paper presents a new Hybrid Software-Defined architecture for integrating Internet-of-Things technologies that are essential technologies for smart environments. It combines a software-defined networking infrastructure and a real-time distributed network framework with an advanced optimization to enable self-configuration, self-management, and self-adaption for providing seamless communication and efficiently managing a vast number of smart heterogeneous devices.

A Self-organized Network Topology Configuration in Underwater Sensor Networks (수중센서 네트워크에서 자기 조직화 기법을 이용한 네트워크 토폴로지 구성법)

  • Kim, Kyung-Taek;Cho, Ho-Shin
    • The Journal of the Acoustical Society of Korea
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    • v.31 no.8
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    • pp.542-550
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    • 2012
  • In this paper, an adaptive scheme for network topology configuration is proposed to save the overall energy consumption in underwater acoustic sensor network. The proposed scheme employs a self-organized networking methodology where network topology is locally optimized by exchanging the energy-related information between neighboring nodes such as the remaining energy of each node, in a way that the network life time can be augmented without any centralized control function. Computer simulation is used to evaluate the proposed scheme comparing with LEACH in terms of the number of alive nodes after a given time, the deviation of individual nodes' residual energy and the energy consumption at the initialization and coordination stages.

Optical-Layer Restoration in a Self-Healing Ring Network Using a Wavelength-Blocker-based Reconfigurable Optical Add/Drop Multiplexer

  • Lee, Jiwon;Kim, Chul Han
    • Current Optics and Photonics
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    • v.2 no.1
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    • pp.23-26
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    • 2018
  • Optical-layer restoration has been demonstrated with a wavelength-blocker (WB) -based reconfigurable optical add/drop multiplexer (ROADM). Two $2{\times}2$ optical switches with a control circuit were placed before and after a WB-based ROADM to provide automatic path restoration under fiber-failure conditions. Using the proposed node configuration, a 3-node self-healing ring (SHR) network has been implemented to demonstrate the feasibility of the automatic optical-layer restoration. From the results, the restoration time was measured to be ~4 ms under fiber-failure conditions, without any additional power penalty in receiver sensitivity.

Research Status of Machine Learning for Self-Organizing Network - I (Self-Organizing Network에서 기계학습 연구동향-I)

  • Kwon, D.S.;Na, J.H.
    • Electronics and Telecommunications Trends
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    • v.35 no.4
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    • pp.103-114
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    • 2020
  • In this study, a machine learning (ML) algorithm is analyzed and summarized as a self-organizing network (SON) realization technology that can minimize expert intervention in the planning, configuration, and optimization of mobile communication networks. First, the basic concept of the ML algorithm in which areas of the SON of this algorithm are applied, is briefly summarized. In addition, the requirements and performance metrics for ML are summarized from the SON perspective, and the ML algorithm that has hitherto been applied to an SON achieves a performance in terms of the SON performance metrics.

Service Oriented Self-Construction Network Scheme in IoT Environments (사물인터넷 환경에서 서비스 중심 자율-구성 네트워크 기법)

  • Youn, Joosang
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.6
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    • pp.922-928
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    • 2018
  • Recently, various researches have been studied to support service-oriented IoT networking. This is because the IoT environment coexists with various service devices for providing the service in a certain unified area. Thus, in this network environment, an effective data delivery service is not provided in a network configuration. Also, in order to provide efficient IoT services in this network environment, new scheme is necessary to recognize services by themselves and to construct network structures for each service. In this paper, we propose a service oriented self-constructive network (SO-SCN) scheme that can construct a service-oriented network in IoT environments composed of various service devices. The proposed scheme is a method that can minimize the network overhead required for service provisioning and extend the network lifetime. Through simulation, we show that the proposed service oriented self-construction network scheme improves the performance, in terms of the number of packets generated for end-to end data transmission and the end-to-end delay.

A study on service composition for web caching on active network (액티브네트워크상의 웹 캐싱을 위한 서비스 컴포지션에 관한 연구)

  • 홍성준;이용수
    • Journal of the Korea Society of Computer and Information
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    • v.8 no.2
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    • pp.129-134
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    • 2003
  • This paper describes an application level composition mechanism called Generic Modeling Environment(GME) for web caching on an Application Level Active Network(ALAN). Web caching on an ALAN requires the application level composition mechanism and a service composition to support adaptability for self-organization. ALAN was developed to solve the problems of the network level Active Network(AN) ALAN has the features of both AN as well as mobile agents. The efficient composition mechanism for the existing AN Projects has been supported primarily for the network level AN. Conversely, ALAN lacks support for the application level AN The existing web caching technology is inter-connected in a manually configured hierarchical tree. Since a self-organization system is intended to be adaptive, web caching for self-organization does not involve a manual configuration or any low-level tuning of the individual nodes of the entire system but requires service composition to support adapting intelligence and fault-tolerance to enable self-organization.

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An implementation of wireless sensor network for security system using Bluetooth (블루투스를 이용한 보안을 위한 무선 센서네트워크의 구현)

  • Kim, Jae-Wan;Kim, Byoung-Kug;Eom, Doo-Seop
    • Proceedings of the Korea Information Processing Society Conference
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    • 2004.05a
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    • pp.1501-1504
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    • 2004
  • We describe a Bluetooth wireless sensor network for security systems, which includes the implementation issues about system architecture, power management, self-configuration of network, and routing. We think that the methods or algorithms described in this paper can be easily applied to other embedded Bluetooth applications for wireless networks.

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Dynamic Configuration and Operation of District Metered Areas in Water Distribution Networks

  • Bui, Xuan-Khoa;Kang, Doosun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.147-147
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    • 2021
  • A partition of water distribution network (WDN) into district metered areas (DMAs) brings the efficiency and efficacy for water network operation and management (O&M), especially in monitoring pressure and leakage. Traditionally, the DMA configurations (i.e., number, shape, and size of DMAs) are permanent and cannot be changed occasionally. This leads to changes in water quality and reduced network redundancy lowering network resilience against abnormal conditions such as water demand variability and mechanical failures. This study proposes a framework to automatically divide a WDN into dynamic DMA configurations, in which the DMA layouts can self-adapt in response to abnormal scenarios. To that aim, a complex graph theory is adopted to sectorize a WDN into multiscale DMA layouts. Then, different failure-based scenarios are investigated on the existing DMA layouts. Here, an optimization-based model is proposed to convert existing DMA layouts into dynamic layouts by considering existing valves and possibly placing new valves. The objective is to minimize the alteration of flow paths (i.e., flow direction and velocity in the pipes) while preserving the hydraulic performance of the network. The proposed method is tested on a real complex WDN for demonstration and validation of the approach.

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A Study on Optimal Layout of Two-Dimensional Rectangular Shapes Using Neural Network (신경회로망을 이용한 직사각형의 최적배치에 관한 연구)

  • 한국찬;나석주
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.17 no.12
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    • pp.3063-3072
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    • 1993
  • The layout is an important and difficult problem in industrial applications like sheet metal manufacturing, garment making, circuit layout, plant layout, and land development. The module layout problem is known to be non-deterministic polynomial time complete(NP-complete). To efficiently find an optimal layout from a large number of candidate layout configuration a heuristic algorithm could be used. In recent years, a number of researchers have investigated the combinatorial optimization problems by using neural network principles such as traveling salesman problem, placement and routing in circuit design. This paper describes the application of Self-organizing Feature Maps(SOM) of the Kohonen network and Simulated Annealing Algorithm(SAA) to the layout problem of the two-dimensional rectangular shapes.