Earticle

일반적으로 TDMA(Time Division Multiple Access)를 기반으로 하는 양방향 위성 통신 시스템에서는 중심국과 멀리 떨어진 단말국 간의 네트워크 동기를 필요로 한다. 본 논문은 양방향 위성시스템을 위한 국제규격인 DVB-S2/RCS2에서 제시한 NCR(Network Clock Reference) 복원 구조를 기반으로 네트워크 클럭 동기에 대한 개념을 설명한다. 또한 DVB-S2에서 CCM(Constant Coding & Modulation) 운용 모드와 부호율, 변조방식을 바꿔 throughput을 최적화 하는 ACM(Adaptive Coding & Modulation) 운용 모드를 지원하는 새로운 NCR 삽입 구조를 제안하였으며 이에 대한 시뮬레이션을 통해 타당성을 검증하였다.

In general, two way satellite communication systems based on TDMA(Time Division Multiple Access) require network clock synchronization between hub station and remote terminals. This paper describes basic concepts for network clock synchronization based on NCR(Network Clock Reference) clock recovery scheme as suggested in DVB-S2/ RCS2 international standards. in addition, a new NCR insertion method has been proposed and evaluated in terms of supporting CCM mode as well as ACM mode which optimizes throughput by changing code rates and modulation types ranging from QPSK to 32-APSK.

In real time applications, due to their effective cost and small size, wireless networks play an important role in receiving particular data and transmitting it to a base station for analysis, a process that can be easily deployed. Due to various internal and external factors, networks can change dynamically, which impacts the localisation of nodes, delays, routing mechanisms, geographical coverage, cross-layer design, the quality of links, fault detection, and quality of service, among others. Conventional methods were programmed, for static networks which made it difficult for networks to respond dynamically. Here, machine learning strategies can be applied for dynamic networks effecting self-learning and developing tools to react quickly and efficiently, with less human intervention and reprogramming. In this paper, we present a wireless networks survey based on different machine learning algorithms and network lifetime parameters, and include the advantages and drawbacks of such a system. Furthermore, we present learning algorithms and techniques for congestion, synchronisation, energy harvesting, and for scheduling mobile sinks. Finally, we present a statistical evaluation of the survey, the motive for choosing specific techniques to deal with wireless network problems, and a brief discussion on the challenges inherent in this area of research.

This paper introduces the implementation of runtime synchronization method when mobile network is broken during the game play. In case of network failure, the game is restored using the saved play record. Before the network failure, the previous game play is recorded in the server. The runtime synchronization is performed using the recorded game play in 2-times, 4 -times, 8-times and 12-times according to the paused time and the game is played continuously. Using the proposed method, the user can play the mobile game uninterrupted. The project mobile game is implemented, and shows the effectiveness of the proposed method.

본 논문에서 우리는 최근 신속하게 발전되고있는 유비쿼터스 홈 네트워크 시스템 구현에 있어서 적용 가능한 새로운 신호 검출 기법및 동기화 기법을 제안하고 그 성능을 분석하였다. 개인용 전자기기 및 건물에 설치되는 Access point 등 무선 통신 인프라가 다양하게 공존하는 유비쿼터스 홈 네트워크 시스템에서는 본 논문의 핵심 기술인 무선 간섭환경에서의 동기화 장치와 신호 검출 장치에대한 연구가 필수적이며 구현에 있어서 매우 중요한 부분을 차지하고 있다. 그래서 우리는 디지털 워터마킹 시퀀스를 이용하여 시스템에 오버헤드 없이 멀티페스 페이딩을 비롯한 다양한 간섭환경에서 성공적으로 신호를 검출할 수 있는 제안한 시스템에 대한 성능을 모의실험을 통해 나타내었다. 본 논문 결과를 이용하여 다양한 전자기기간 서로의 신호들이 독립성을 보장받아 공존하는 유비쿼터스 홈 네트워크 시스템의 구현을 기대한다.

In this paper, we propose and analyze a novel synchronization scheme for ubiquitous home network system. In ubiquitoushome network system, synchronization method is very important because many consumer electronic devices send the datasimultaneously to each other through infrastructure such as access point. We employ digital watermarking sequence toimprove synchronization performance without system overhead. The performance of proposed scheme is analyzed in termsof correlation performance. The results of the paper can be applied to design of various applications for ubiquitous homenetwork systems.

전파를 수신하여 측위를 수행하는 GNSS 수신기는 본질적으로 재밍에 취약하다. 재밍 발생 검출, 재밍 신호 종류 판별, 재밍원 위치추정 기능을 갖는 GNSS 재밍 모니터링 시스템은 안전한 자율주행 환경구축에 도움을 준다. 이를 위하여 다수의 저가 GNSS 수신기들의 배치로 구성된 GNSS 모니터링 네트워크 구축이 필요하며, 앞서 언급한 3가지 기능 구현을 위하여 네트워크 내 독립된 저가 GNSS 수신기 간 정밀 시각 동기가 요구된다. 본 논문은 신호영역 TDOA 기술 직접 사용방식의 수신기 간 시각 동기화 기법을 제안한다. 계산 효율성을 위하여 상대적으로 낮은 샘플링 주파수에도 시각 동기 정밀도를 유지하고자 블록 보간법을 추가로 활용한다. 수치적 시뮬레이션을 통하여 제안한 GNSS 수신기 간 시각 동기화 기법의 가용성을 입증한다.

Global Navigation Satellite System (GNSS) receivers are intrinsically vulnerable to radio frequency jamming signals due to the fundamental property of radio navigation systems. A GNSS jamming monitoring system that is capable of jamming detection, classification and localization is essential for infrastructure for autonomous driving systems. For these 3 functionalities, a GNSS jamming monitoring network consisting of a multiple of low-cost GNSS receivers distributed in a certain area is needed, and the precise time synchronizaion between multiple independent GNSS receivers in the network is an essential element. This paper presents a precise time synchronization method based on the direct use of Time Difference of Arrival (TDOA) technique in signal domain. A block interpolation method is additionally incorporated into the method in order to maintain the precision of time synchronization even with the relatively low sampling rate of the received signals for computational efficiency. The feasibility of the proposed approach is verified in the numerical simualtions.

온·오프라인 상태 전환이 빈번하고 대용량 이미지 데이터를 실시간으로 처리해야 하는 드론 운영 환 경에서는, 데이터의 일관성과 충돌 없는 동기화를 보장하는 것이 중요한 과제이다. 본 논문은 소규모 드론 네트워크를 대상으로, Graph Database(그래프 데이터베이스)의 동기화를 위한 Change Data Capture(CDC) 기반 아키텍처를 제안한다. PostgreSQL 기반의 AgensGraph와 Debezium, Apache Kafka를 연동하여, 오프라인 상태에서 발생한 변경 사항을 안정적으로 캡처·버퍼링하고 온라인 복귀 시 정렬된 순서대로 전파함으로써 데이터의 무결성과 일관성을 확보한다. 본 연구의 핵심은 그래프 구조 메타데이터(노드 및 엣지 타입 등)와 운영 데이터(예: 이미지 태그, 객체 임베딩)를 분리하여 관 리함으로써, 충돌 상황에 유연하게 대응하고 구조 변경의 일관성을 유지할 수 있도록 설계한 것이다. 또한, 그래프 구조 변경은 마스터 노드를 통해서만 수행하도록 제한함으로써 분산 노드 간의 충돌을 사전에 방지한다. 각 이벤트에는 버전 정보와 WAL 기반 LSN(Log Sequence Number)을 포함시켜 중복 적용을 방지하고, 재처리 상황에서도 순차성이 보장되도록 하였다. 최대 200~300대 수준의 드론 노드를 대상으로 한 시뮬레이션을 통해 본 시스템의 확장성, 저지연 동기화, 충돌 회피 효과를 확인 하였으며, 제한된 연결 환경에서도 실시간 AI 학습, 협업 및 의사결정 지원이 가능한 유연한 그래프 기반 데이터 계층 모델임을 입증하였다.

The actual demand for network applications, the paper discusses the data backup, real-time data synchronization knowledge; On this basis, considering the multi-user concurrency, the case of multi-user collaboration, to achieve a multi-machine real-time synchronization, proposed a network synchronization system model, describes its design ideas and development methods. The results show that: the system update for the relatively low intensity operations with relatively good efficiency of backup and synchronization synergy.

With the high speed railway speed increasing and driving distance shortening in China, the time conformity of subsystems of railway is becoming more significant to railway traffic safety. The railway time synchronization network (RTSN), the medium carrying and broadcasting time information, is responsible to convey the information of internal clock of railway and its function poses direct influence on the time conformity of subsystems of railway. This paper firstly analyzes the RTSN, including its functions, the differentiation of layers in system, and the hardware framework. Then combining factors like equipment redundancy and common cause failure, etc, the paper collects a large number of data by gathering field data and experts suggestions and Bayesian (BN) is established. Thus reliability analyses of RTSN is conducted and, by inference, its weak links can be discovered, which puts forward references to the maintenance distribution and resource checking of the constructing RTSN.

Synchronization of clocks in distributed system has been an important area of research over the last decade. There are various methods of achieving clock synchronization depending on the requirements of the situation. A clock synchronization service ensures that spatially dispersed and heterogeneous processors in a distributed system share a common notion of time. In order to behave as a single, unified computing resource, distributed systems have need for a synchronization of drifting clocks and several algorithms have been proposed on this topic. Our paper highlights total network connection between different processors (alias nodes) of the system, We provide a simple, efficient, and unified algorithm for clock synchronization that can minimize the total network connection of the system.

Many devices are connected on the internet to give functionalities for interconnected services. In 2020', The number of devices connected to the internet will be reached 5.8 billion. Moreover, many connected service provider such as Google and Amazon, suggests edge computing and mesh networks to cope with this situation which the many devices completely connected on their networks. This paper introduces the current state of the introduction of the wireless mesh network and edge cloud in order to efficiently manage a large number of nodes in the exploding Internet of Things (IoT) network and introduces the existing Network Time Protocol (NTP). On the basis of this, we propose a relatively accurate time synchronization method, especially in heterogeneous mesh networks. Using this NTP, multiple time coordinators can be placed in a mesh network to find the delay error using the average delay time and the delay time of the time coordinator. Therefore, accurate time can be synchronized when implementing IoT, remote metering, and real-time media streaming using IoT mesh network.

The proposed RAITIIFNNC system is comprised of a interval type II fuzzy neural network identifier and a robust controller. The identifier is utilized for online estimation of the compound uncertainties. The robust controller is used to attenuate the effects of the approximation error so that the perfect tracking and synchronization of chaotic systems are achieved. All the parameter learning algorithms are derived based on Lyapunov stability theorem to ensure network convergence as well as stable synchronization performance. From the simulation example, to synchronize two Lorenz chaotic systems, it has been shown that the effectiveness of the proposed method has been verified.

본 연구는 2008년 사토시 나카모토의 Bitcoin의 핵심 기술인 블록체인(Blockchain)을 활용한 분산형 시간 동기화 시스템을 제안한다. 본 연구에서 블록체인 네트워크는 기존의 중앙 집중식 구조에서 벗어나 public 블록체인을 이용한 완전 탈 중앙식 구조를 갖는다. 탈 중앙식 구조에서는 참여하는 피어 중 특정 피어만이 NTP서버에 접근하기 때문에 그 외의 피어 들은 공중망으로 나가지 않아도 시간 동기화를 할 수 있다. 더 나아가 각 피어들 마다 적절한 시간 동기화 주기가 형성된다면 공중망과의 연결이 완전히 끊긴 상황에서도 시간 동기화 유지가 가능해진다. 본 연구의 시간 동기화 시스템은 P2P 시스템의 장점을 가지면서 디지털 서명, 머클트리, 합의 알고리즘 등 블록체인의 핵심 기술을 이용했기 때문에 신뢰성과 안정성도 보장 받을 수 있다.

This study presents a time synchronization system in decentralized structure by using the blockchain, a core technology of Bitcoin introduced by Satoshi Nakamoto in 2008. In this study, Getting away from existing time synchronization system in centralized structure, A blockchain network has completely decentralized structure using public blockchain. In decentralized structure, Only certain peers among the peers that participate in a blockchain network access the NTP server. Therefore, others can synchronize time without having to go to public network. Furthermore if appropriate time synchronization cycles are established for each peer, time synchronization can be maintained even when connection to public network is completely lost. A time synchronization system in this study has advantages of p2p system and can be also guaranteed reliability and stability because it used digital signature, merkle tree, consensus algorithm which are core characteristics of block chains.

많은 Application이 QoS(Quality of Service)를 요구한다. 본 논문에서는 시스템 에어리어 네트?에서 QoS의 일종인 성능 예측성에 촛점을 맞춘다. 예측성을 만족시키기 위해 네트?상의 모든 통신 스트림이 정적으로 스케줄된다고 가정할 때, 각 네트웍 인터페이스는 정해진 스케줄을 제 때에 실행하여야 하며 이를 위해서는 각 인터페이스의 시간베이스가 모두 동기화 되어야 한다. 본 논문에서는 이 동기화 문제를 다루었다. 동기화 문제를 해결하기 위해서, 본 논문에서는 링크 레벨 흐름 제어 신호를 이용해서 기 제안된 FM-QoS(1) 기법을 확장하였다. FM-QoS는 네트웍이 하나의 스위치로만 구성될 때 가능한 동기화 기법이다. 본 논문에서는 임의의 망구조에서 1) 네트? 인터페이스들이 동기화되기 위한 흐름 제어신호의 조건 (동기화 스케줄로 칭함)을 규정하고, 2) 동기화 스케줄의 정확도를 분석하였다. 제안한 방식의 실례를 보이기 위해서, 하나의 스위치로 구성된 네트월과 여러 개의 스위치로 구성된 트리 구조 네트웍에서 각기 동기화 스케줄을 예시하고 이의 정확도를 수치적으로 분석하였다. 분석된 정확도가 실제 시스템에서 어느 정도의 값을 갖는지를 이해하기 위해서, Myrinet 스위치(2)로 구성된 망에 대해서 실험하였다. 실험 중 관찰된 최대 정확도의 에러는 9.2 마이크로 세컨드이며, 이 수치를 바탕으로 본 논문은 제안한 동기화 알고리즘이 시스템 에어리어 네트웍에서 효과적이라고 결론지었다.

Many applications in cluster computing require QoS (Quality of Service) services. Since performance predictability is essential to provide QoS service, underlying systems must provide predictable performance guarantees. One way to ensure such guarantees from network subsystems is to generate global schedules from applications'network requests and to execute the local portion of the schedules at each network interface. To ensure accurate execution of the schedules, it is essential that a global time base must be maintained by local clocks at each network interface. The task of providing a single time base is called a synchronization problem and this paper addresses the problem for system area networks. To solve the synchronization problem, FM-QoS (1) proposed a simple synchronization mechanism called FBS(Feedback-Based Synchronization) which uses built-in How control signals. This paper extends the basic notion of FM-QoS to a theoretical framework and generalizes it: 1) to identify a set of built-in network flow control signals for synchrony and to formalize it as a synchronizing schedule, and 2) to analyze the synchronization precision of FBS in terms of flow control parameters. Based on generalization, two application classes are studied for a single switch network and a multiple switch network. For each class, a synchroniring schedule is proposed and its bounded skew is analyzed. Unlike FM-QoS, the synchronizing schedule is proven to minimize the bounded skew value for a single switch network. To understand the analysis results in practical networks, skew values are obtained with flow control parameters of Myrinet-1280/SAN. We observed that the maximum bounded skew of FBS is 9.2 Usec or less over all our experiments. Based on this result, we came to a conclusion that FBS was a feasible synchronization mechanism in system area networks.

Core operations (e.9. TDMA scheduler, synchronized sleep period, data aggregation) of many proposed protocols for different layer of sensor network necessitate clock synchronization. Our Paper mingles the scheme of dynamic clustering and diffusion based asynchronous averaging algorithm for clock synchronization in sensor network. Our proposed algorithm takes the advantage of dynamic clustering and then applies asynchronous averaging algorithm for synchronization to reduce number of rounds and operations required for converging time which in turn save energy significantly than energy required in diffusion based asynchronous averaging algorithm.

To simulate more realistic networks, we introduce a complex dynamical network model with double non-delayed and double delayed coupling and further investigate its synchronization phenomenon in this paper. Based on Lyapunov stability theory, adaptive synchronization criteria is obtained. Analytical result shows that under the designed adaptive controllers, the complex dynamical network with double non-delayed and double delayed coupling can asymptotically synchronize to a given trajectory. What is more, the coupling matrix is not assumed to be symmetric or irreducible. Finally, simulation results show the method is effective.

Synchronization of unidirectional identical FitzHugh-Nagumo systems coupled in a ring structure under ionic and external electrical stimulations is investigated. In this network, each neuron is only connected and transmit signals to its next neuron via synaptic strength called gapjunctions. Adaptive control theory and Lyapunov stability theory are used to propose a unique control scheme with necessary and sufficient conditions which guarantee the synchronization of the neuronal network. Finally, the effectiveness of the proposed scheme is shown through numerical simulations.

This paper proposes a system to synchronize the time of computers over an unmanned aerial vehicle (UAV) network. With the proposed system, the UAVs can perform missions that require precise relative time. Also, data collected by UAVs can be fused precisely with synchronized time. In the system, to synchronize the time of all computers over the UAV network, two-step synchronization is performed. In the first step, the mission computers of the UAVs are synchronized through the server of the system. After the first step, the mission computers measure time offset between the time of the mission computers and the flight computers. The offset values are delivered to the server. In the second step, virtual time is determined by the server from the collected time offset. The measured offset is compensated by moving the synchronized time of mission computers to the reasonable virtual time. Since only the time of mission computers are controlled, any flight computers that use micro air vehicle link (MAVLink) protocol can be synchronized in the proposed system.

This paper utilizes the adaptive technique to design a class of active synchronizing master-slave large scale systems against imperfect actuators and networked interconnections with bias faults and signal attenuations, respectively. Without the requirement of knowledge of eventual faulty factors of bias-actuators on systems, and attenuation factors of connected networks, an adaptive mechanism is designed to estimate each unknown faulty factor on-line for constructing a class of distributed adaptive controllers. Then based on the adaptive adjustment parameters and Lyapunov stability theory, Lyapunov functions are addressed to prove that the proposed adaptive master-slave large-scale system can be guaranteed to be asymptotic synchronization with the improper actuator and faulty transmitted signals. Finally, a multiple vehicle large-scale system is used to verify the efficiency of the method.