• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권1호
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• pp.35-57
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• 2021

Fog computing aims to provide the solution of bandwidth, network latency and energy consumption problems of cloud computing. Likewise, management of data generated by healthcare IoT devices is one of the significant applications of fog computing. Huge amount of data is being generated by healthcare IoT devices and such types of data is required to be managed efficiently, with low latency, without failure, and with minimum energy consumption and low cost. Failures of task or node can cause more latency, maximum energy consumption and high cost. Thus, a failure free, cost efficient, and energy aware management and scheduling scheme for data generated by healthcare IoT devices not only improves the performance of the system but also saves the precious lives of patients because of due to minimum latency and provision of fault tolerance. Therefore, to address all such challenges with regard to data management and fault tolerance, we have presented a Fault Tolerant Data management (FTDM) scheme for healthcare IoT in fog computing. In FTDM, the data generated by healthcare IoT devices is efficiently organized and managed through well-defined components and steps. A two way fault-tolerant mechanism i.e., task-based fault-tolerance and node-based fault-tolerance, is provided in FTDM through which failure of tasks and nodes are managed. The paper considers energy consumption, execution cost, network usage, latency, and execution time as performance evaluation parameters. The simulation results show significantly improvements which are performed using iFogSim. Further, the simulation results show that the proposed FTDM strategy reduces energy consumption 3.97%, execution cost 5.09%, network usage 25.88%, latency 44.15% and execution time 48.89% as compared with existing Greedy Knapsack Scheduling (GKS) strategy. Moreover, it is worthwhile to mention that sometimes the patients are required to be treated remotely due to non-availability of facilities or due to some infectious diseases such as COVID-19. Thus, in such circumstances, the proposed strategy is significantly efficient.

• 한국정보통신설비학회:학술대회논문집
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• 한국정보통신설비학회 2006년도 하계학술대회
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• pp.43-46
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• 2006

IEEE 802.16 WirelessMAN aiming to broadband wireless access (BWA) is evolving to 4G mobile communication system through the standardization of IEEE 802.16e supporting mobility on existing fixed WirelessMAN system. It is necessary for hand-over to provide seamless data service while MS (Mobile Station) moves to another BS (Base Station). Because the performance of handover affects packet loss or delay of any communications, it must consider low latency handover mechanism in packet based network. In this paper, we describes handover scheme of IEEE 802.16e with the cell edge interference problem and shows the way to solve the problem in frequency reuse one deployment. Our scheme reduces the handover latency and packet loss probability.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권2호
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• pp.473-493
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• 2019

5G vehicular communication is one of key enablers in next generation intelligent transportation system (ITS), that require ultra-reliable and low latency communication (URLLC). To meet this requirement, a new hybrid vehicular network structure which supports both centralized network structure and distributed structure is proposed in this paper. Based on the proposed network structure, a new vehicular network utility model considering the latency and reliability in vehicular networks is developed based on Euclidean norm theory. Building on the Pareto improvement theory in economics, a vehicular network uplink optimization algorithm is proposed to optimize the uplink utility of vehicles on the roads. Simulation results show that the proposed scheme can significantly improve the uplink vehicular network utility in vehicular networks to meet the URLLC requirements.

• 전자통신동향분석
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• 제36권4호
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• pp.34-47
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• 2021

To realize remote surgery from hundreds of kilometers away, a new communication environment with ultra-low latency and high-precision features is required. Thus, ultra-high precision networking technology that guarantees the maximum latency and jitter of end-to-end traffic on an Internet-scale wide area network is in development as part of 6G network research. This paper describes the current status of various networking technologies in ITU-T, ETSI, IEEE, and IETF to ensure ultra-low latency and high precision in wired networks.

• International Journal of Internet, Broadcasting and Communication
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• 제15권1호
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• pp.157-163
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• 2023

Recently, as businesses and data types become more complex and diverse, efficient data analysis using machine learning is required. However, since communication in the cloud environment is greatly affected by network latency, data analysis is not smooth if information delay occurs. In this paper, SPT (Safe Proper Time) was applied to the cluster-based machine learning data analysis agent proposed in previous studies to solve this delay problem. SPT is a method of remotely and directly accessing memory to a cluster that processes data between layers, effectively improving data transfer speed and ensuring timeliness and reliability of data transfer.

• 한국인터넷방송통신학회논문지
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• 제18권2호
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• pp.55-62
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• 2018

VANET은 급격히 부상하고 있는 서비스 영역으로 수 ms 수준의 엄격한 latency 요구사항을 가진다. 이러한 수준의 낮은 latency를 보장하기 위해 latency가 보장되면서 coordinator에 의한 scheduling 없이 join/leave가 자유로운 Autonomous TDMA(ATDMA)가 제안된 바 있다. 본 연구에서는 hidden node, 채널 페이딩, 노드 밀집도 변이 등이 존재하는 non-perfect decoding 환경에서 동작하도록 ATDMA를 확장한 ATDMA revision(ATDMA-R)을 고안하였다. 또한 시뮬레이션을 통해 ATDMA와 ATDMA-R의 성능을 비교하여 ATDMA 대비 ATMDMA-R이 다양한 실제적 환경에서 강인성을 보이는 것을 확인하였다.

• 방송공학회논문지
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• 제26권7호
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• pp.855-861
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• 2021

Neural Architecture Search (NAS) is cutting-edge technology in the machine learning community. NAS Without Training (NASWOT) recently has been proposed to tackle the high demand of computational resources in NAS by leveraging some indicators to predict the performance of architectures before training. The advantage of these indicators is that they do not require any training. Thus, NASWOT reduces the searching time and computational cost significantly. However, NASWOT only considers high-performing networks which does not guarantee a fast inference speed on hardware devices. In this paper, we propose a multi objectives reward function, which considers the network's latency and the predicted performance, and incorporate it into the Reinforcement Learning approach to search for the best networks with low latency. Unlike other methods, which use FLOPs to measure the latency that does not reflect the actual latency, we obtain the network's latency from the hardware NAS bench. We conduct extensive experiments on NAS-Bench-201 using CIFAR-10, CIFAR-100, and ImageNet-16-120 datasets, and show that the proposed method is capable of generating the best network under latency constrained without training subnetworks.

• 한국컴퓨터정보학회논문지
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• 제27권10호
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• pp.105-113
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• 2022

본 논문에서는 5G 시스템과 IEEE 시간 민감형 네트워킹(TSN)에 대해서 소개 분석하고 초저지연 네트워크를 지원하기 위하여 5G-TSN에서 시간 민감형 통신을 위한 새로운 이동성 관리 방안을 제안한다. 시간 민감형 네트워킹(TSN)은 이더넷 기반의 저지연, 높은 신뢰성, 결정형 통신을 제공할 수 있는 핵심 요소 기술로써 산업 자동화와 산업용 사물인터넷(IIoT) 분야의 유망한 미래 기술이다. TSN 지원 단말이 TSN 비서비스 영역에서 TSN 서비스 영역으로 이동했을 때, 단말은 관련 이동성 관리가 적절히 수행되지 못하기 때문에 신속하게 TSN 서비스를 받을 수 없다. TSN 서비스 영역의 이동성 상황의 경우, 제안하는 방안은 기존 5G 이동통신망에서의 방안과 비교하여 TSN 서비스 및 초저지연 통신을 즉시 제공받기 위해서 TSN 서비스 사용 가능성을 네트워크에 알리고, 초기 등록을 동작시킨다.

• 정보처리학회논문지:컴퓨터 및 통신 시스템
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• 제10권2호
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• pp.29-38
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• 2021

모바일 네트워크 및 인터넷의 발전은 물리적인 거리의 한계를 극복하고 원격지의 정보를 제공하거나 획득하는데 기여하고 있다. 그러나 영상 전송을 주요 정보 제공 수단으로 사용하는 시스템은 여전히 고대역폭과 저지연 전송을 요구하고 있으며, 전송된 영상을 기반으로 상황을 판단하고 실시간 피드백을 제공하기 위해서는 전송된 영상의 품질뿐만 아니라 데이터 신뢰성과 전송 지연시간 문제는 극복해야할 중요한 부분이다. 5세대 모바일 네트워크의 출현은 이전 세대의 기술에서 경험할 수 없었던 고대역폭과 정밀한 위치 인식 등의 특성을 제공하여, 원격 진료 및 수술, 사회안전망을 위한 무선 원격 비디오 감시 시스템, 차량의 자율 주행 뿐만 아니라 UAV/UGV의 비가시권 제어를 실현할 수 있는 기반이 되고 있다. 또한 모바일 네트워크의 특성을 고려하여 네트워크 지연 시간을 최소화하는 Mobile Edge Computing 기술은 기존의 스마트 단말과 고가용성 서버 시스템으로 구성되던 시스템 아키텍처에 대한 변화를 요구하고 있다. 그러나 여전히 무선 구간에서 발생하는 네트워크 불확실성은 고해상도 영상을 전송할 때 영상 품질의 문제로 이어지며, 캐시를 활용한 전통적인 해결 방법은 지연 시간의 증가로 이어지게 되어 5G-MEC로 극복한 문제에 대한 근본적인 해결책이 되지 못한다. 본 연구에서는 Foward Error Correction과 Fast Retransmission을 이용하는 SRT 프로토콜을 기반으로 초저지연 고화질 영상 전송 시스템을 제안하고 각 시스템 컴포넌트를 5G-MEC의 특성을 고려하여 배치하여 4K 영상 전송시에도 종단간 지연시간을 1초 이하로 제한할 수 있음을 실험 결과로 제시하고 있다. 또한 실시간 고화질 영상 전송시 고려해야하는 요소로, 영상의 품질과 카메라-사용자 간의 최종 지연 시간 및 지연시간에 영향을 미치는 구간을 분석하고 추가적으로 개선할 수 있는 부분을 찾아 제시하도록 한다.

• 한국멀티미디어학회논문지
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• 제20권8호
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• pp.1369-1378
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• 2017

Pub/Sub (Publish/Subscribe) paradigm is a simple and easy to use model for interconnecting applications in a distributed environment. In general, subscribers register their interests in a topic or a pattern of events and then asynchronously receive events matching their interest, regardless of the events' publisher. In order to build a low latency lightweight pub/sub system for Internet of Things (IoT) services, we propose a GQSFPS (Group Quorum System-based Fog Pub/Sub) system that is a core component in the event-driven service oriented architecture framework for IoT services. The GQSFPS organizes multiple installed pub/sub brokers in the fog servers into a group quorum based P2P (peer-to-peer) topology for the efficient searching and the low latency accessing of events. Therefore, the events of IoT are cached on the basis of group quorum, and the delay-sensitive IoT applications of edge devices can effectively access the cached events from group quorum fog servers in low latency. The performance of the proposed GQSFPS is evaluated through an analytical model, and is compared to the GQPS (grid quorum-based pud/sub system).