• Title/Summary/Keyword: Self-Healing Network

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A Development and Performance Assessment of On-Line Monitoring System for Optical Fiber Composite Underground Distribution Network using DTS (DTS를 활용한 광복합 지중 배전계통 실시간 감시시스템 개발 및 성능평가)

  • Cho, Jin-Tae;Kim, Ju-Yong;Lee, Hak-Ju;Cho, Hwi-Chang;Choi, Myeong-Ho
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.25 no.6
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    • pp.115-121
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    • 2011
  • Intelligent distribution equipment is inevitable to realize self-healing which is one of smart grid functions in distribution network. Therefore, most of distribution equipment have been developed with self diagnostic sensors. However, it is not effective to construct on-line monitoring system for underground distribution cable because of high cost and low sensitivity. Recently, optical fiber composite cable is being considered for communication and power delivery in order to cope with increasing communication in distribution network. This paper presents the design and performance assessment results of underground cable on-line monitoring system using DTS(Distributed Temperature Sensing) and optical fiber composite underground cable.

Analysis of Automatic Neighbor Relation Technology in Self Organization Networks of LTE (LTE 네트워크에서 SON ANR 기술 분석)

  • Ahn, Ho-Jun;Yang, Mo-Chan
    • The Journal of the Korea institute of electronic communication sciences
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    • v.14 no.5
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    • pp.893-900
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    • 2019
  • This paper deals with the analysis of SON (Self Organization Network) technology in LTE networks. SON is a unique LTE feature compared to previous cellular systems UMTS and GSM, and is a cost-effective tool for achieving the best performance in a changing environment. In addition, SON has the function of automating the settings of the network, enabling centralized planning and reducing the need for manual tasks. SON is largely divided into three categories: Self-Configuration, Self-Optimization, and Self-Healing. Each large category has a detailed description, and all the technologies in each category come together to complete the technology called SON. In this paper, we analyzed intensively about ANR among the techniques of Self-Configuration in each of the three categories.

Research Status on Machine Learning for Self-Organizing Network-II (Self-Organizing Network에서 기계학습 연구동향-II)

  • Kwon, D.S.;Na, J.H.
    • Electronics and Telecommunications Trends
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    • v.35 no.4
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    • pp.115-134
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    • 2020
  • Several studies on machine learning (ML) based self-organizing networks (SONs) have been conducted, specifically for LTE, since studies to apply ML to optimize mobile communication systems started with 2G. However, they are still in the infancy stage. Owing to the complicated KPIs and stringent user requirements of 5G, it is necessary to design the 5G SON engine with intelligence to enable users to seamlessly and unlimitedly achieve connectivity regardless of the state of the mobile communication network. Therefore, in this study, we analyze and summarize the current state of machine learning studies applied to SONs as solutions to the complicated optimization problems that are caused by the unpredictable context of mobile communication scenarios.

A Signal Path Control Switch Using FPGA (FPGA로 설계한 신호경로제어스위치)

  • 이상훈;김성진
    • Proceedings of the Korea Institute of Convergence Signal Processing
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    • 2001.06a
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    • pp.81-84
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    • 2001
  • A signal path control switch has been designed and implemented with AT&T 0.5${\mu}{\textrm}{m}$ CMOS ORCA FPGA. This device controls the path of digital signals in SDH-based transmission system. The proposed switch is suitable for self-healing operation which protects against transmission network failure. The self-healing operation of the switch is effectively done by the reconfigurable information stored in the registers of the switch. This device consists of eight subparts such west-east transmitting parts, west-east receiving parts, add-drop control parts, AIS control Part, and CPU interface part. The device is capable to a ring network as well as a linear network.

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An Efficient Variant of Self-Healing Group Key Distribution Scheme with Revocation Capability (자가 치료 기능과 취소 능력을 가진 효율적인 그룹키 분배 기법)

  • Kang Ju-Sung;Hong Dowon
    • The KIPS Transactions:PartC
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    • v.12C no.7 s.103
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    • pp.941-948
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    • 2005
  • In the self-healing group key distribution scheme, users are capable of recovering lost group keys on their own without requesting additional transmission from the group manager, where there is no reliable network infrastructure. In this paper, we propose a new self-healing group key distribution scheme with revocation capability, which is optimal in terms of user memory storage and more efficient in terms of communication complexity than the previous results. We obtain a slightly improved result from (13) and (14) by using the new broadcasting method. In addition, we prove that our scheme has the properties of t-wise forward secrecy and t-wise backward secrecy, and extend this self-healing approach to the session key recovery scheme from a single broadcast message.

A Vulnerability Analysis of Intrusion Tolerance System using Self-healing Mechanism (자가치유 메커니즘을 활용한 침입감내시스템의 취약성 분석)

  • Park, Bum-Joo;Park, Kie-Jin;Kim, Sung-Soo
    • Journal of KIISE:Computer Systems and Theory
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    • v.32 no.7
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    • pp.333-340
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    • 2005
  • One of the most important core technologies required for the design of the ITS (Intrusion Tolerance System) that performs continuously minimal essential services even when the network-based computer system is partially compromised because of the external or internal intrusions is the quantitative dependability analysis of the ITS. In this paper, we applied self-healing mechanism, the core technology of autonomic computing to secure the protection power of the ITS. We analyzed a state transition diagram of the ITS composed of a Primary server and a backup server utilizing two factors of self-healing mechanism (fault model and system response) and calculated the availability of ITS through simulation experiments and also performed studies on two cases of vulnerability attack.

Self-healing Method for Data Aggregation Tree in Wireless Sensor Networks (무선센서네트워크에서 데이터 병합 트리를 위한 자기치유 방법)

  • Le, Duc Tai;Duc, Thang Le;Yeom, Sanggil;Zalyubovskiy, Vyacheslav V.;Choo, Hyunseung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.04a
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    • pp.212-213
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    • 2015
  • Data aggregation is a fundamental problem in wireless sensor networks that has attracted great attention in recent years. On constructing a robust algorithm for minimizing data aggregation delay in wireless sensor networks, we consider limited transmission range sensors and approximate the minimum-delay data aggregation tree which can only be built in networks of unlimited transmission range sensors. The paper proposes an adaptive method that can be applied to maintain the network structure in case of a sensor node fails. The data aggregation tree built by the proposed scheme is therefore self-healing and robust. Intensive simulations are carried out and the results show that the scheme could adapt well to network topology changes compared with other approaches.