• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2008년도 추계종합학술대회 B
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• pp.894-897
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• 2008

본 논문에서는 버스트 홈 네트워크 채널에서 패킷 데이터 전송을 위한 SR-ARQ (Selective Repeat-Automatic Repeat Request) 기법의 처리율 성능을 분석한다. 홈 네트워크 전송에서는 데이터 전송에 의한 에러를 극복하기 위하여 강력한 에러 제어 기술이 필요하다. 기본적으로 ARQ와 FEC기법이 주로 사용되며 ARQ 기법은 신뢰성 있는 데이터 전송에서 주로 사용된다. 버스트 채널에서 SR-ARQ를 사용한 패킷 데이터 전송의 성능을 분석하고 처리율 분석을 위한 간단한 방식을 제시한다. 분석을 통하여 적은 크기의 패킷 데이터 전송은 버스트 홈 네트워크 채널에서 우수한 성능을 얻을 수 있었다.

• 스마트미디어저널
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• 제4권1호
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• pp.25-32
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• 2015

Powering wireless sensors with energy harvested from the environment is coming of age due to the increasing power densities of both storage and harvesting devices and the electronics performing energy efficient energy conversion. In order to maximize the functionality of the wireless sensor network, minimize missing packets, minimize latency and prevent the waste of energy, problems like congestion and inefficient energy usage must be addressed. Many sleep-awake protocols and efficient message priority techniques have been developed to properly manage the energy of the nodes and to minimize congestion. For a WSN that is operating in a strictly energy constrained environment, an energy-efficient transmission strategy is necessary. In this paper, we present a novel transmission priority decision scheme for a heterogeneous body sensor network composed of normal nodes and an energy harvesting node that acts as a cluster head. The energy harvesting node's decision whether or not to clear a normal node for sending is based on a set of metrics which includes the energy harvesting node's remaining energy, the total harvested energy, the type of message in a normal node's queue and finally, the implementation context of the wireless sensor network.

• 대한임베디드공학회논문지
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• 제15권2호
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• pp.79-85
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• 2020

IIoT stands for Industrial Internet of Things used in manufacturing, healthcare, and transportation in networked smart factories. Recently, IIoT's environment requires an automated control system through intelligent cognition to improve efficiency. In particular, IIoT can be applied to automatic calibration of production equipment for improved management in industrial environments. Such automation systems require a wireless network for transmitting industrial data. Self-calibration systems in laser transmission paths using wireless networks can save resources and improve production quality by real-time monitoring and remote control of laser transmission path. In this paper, we propose a wireless networked system for self-calibration of laser equipment that requires a laser transmission path, and we show the results of the prototype evaluation. The self-calibration system of laser equipment measures the coordinates of the laser points with sensors and sends them to the host using the proposed application protocol. We propose a wireless network service for the wired motor controller to align the laser coordinates. Using this wireless network, the host controls the motor by sending a control command of the motor controller in an HTTP message based on the received coordinate values. Finally, we build a prototype system of the proposed design to verify the detection performance and analyze the network performance.

• 한국인터넷방송통신학회논문지
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• 제13권4호
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• pp.23-28
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• 2013

본 논문에서는 네트워크 코딩 및 파운 테인 코드를 사용한 간단한 양방향 전송 프로토콜을 제안한다. 특히, 제안된 기법의 경우, 두 소스는 중계기의 도움으로 서로에게 메시지를 전송하기위해 디지털 파운틴 코드를 사용한다. 또한, 중계기는 파운틴 코드와 네트워크 코딩을 사용하여 수신 받은 소스의 메시지를 서로의 소스에게 전송한다. 제안된 프로토콜의 성능을 평가하기위해 레일리 페이딩 채널에서 다양한 몬테-카를로 시뮬레이션을 통하여 전체 평균 처리량을 확인한다. 그 결과 제안된 프로토콜은 높은 SNR 영역에서 네트워크 코딩 기술을 사용하지 않는 두 방향 릴레이 전송 프로토콜보다 우수함을 확인하였다.

• 전자공학회논문지CI
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• 제41권3호
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• pp.37-45
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• 2004

본 논문에서는 이동 에드-혹 네트워크에서 조합가중치 클러스터링 알고리즘을 적용하여 강건하고 신뢰성 있는 클러스터 기반의 그룹 멀티캐스트 방식을 제안한다. 에드-혹 네트워크는 고정된 통신 하부 구조의 도움 없이 이동 단말기로만 구성된 무선 네트워크이다. 제한된 대역폭과 높은 이동성으로 인하여 에드-혹 네트워크에서의 라우팅 프로토콜은 강건하고, 간단하면서 에너지 소비를 최소화하여야 한다. WCGM(Weighted Cluster Group Multicast)방식은 조합 가중치 다중 클러스터 기반 구조를 이용하고 기존의 FGMP(Forwarding Group Multicast Protocol)방식의 장점인 제한적인 플러딩에 의한 데이터 전달방식은 유지하면서 클러스터 헤드 선출 시 조합가중치를 적용한다. 이것은 안정적이며 강건한 데이터 전달 구조를 가지기 때문에 데이터 전달 구조를 유지하기 위한 오버헤드(Overhead)와 데이터 전달을 위한 오버헤드를 모두 줄이는 효과를 시뮬레이션을 통하여 검증하였다.

• Journal of Communications and Networks
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• 제18권3호
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• pp.493-501
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• 2016

In-network storage is an effective technique for avoiding network congestion and reducing power consumption in continuous data collection in wireless sensor networks. In recent years, network coding based storage design has been proposed as a means to achieving ubiquitous access that permits any query to be satisfied by a few random (nearby) storage nodes. To maintain data consistency in continuous data collection applications, the readings of a sensor over time must be sent to the same set of storage nodes. In this paper, we present an efficient approach to updating data at storage nodes to maintain data consistency at the storage nodes without decoding out the old data and re-encoding with new data. We studied a transmission strategy that identifies a set of storage nodes for each source sensor that minimizes the transmission cost and achieves ubiquitous access by transmitting sparsely using the sparse matrix theory. We demonstrate that the problem of minimizing the cost of transmission with coding is NP-hard. We present an approximation algorithm based on regarding every storage node with memory size B as B tiny nodes that can store only one packet. We analyzed the approximation ratio of the proposed approximation solution, and compared the performance of the proposed coding approach with other coding schemes presented in the literature. The simulation results confirm that significant performance improvement can be achieved with the proposed transmission strategy.

• Journal of Electrical Engineering and Technology
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• 제9권3호
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• pp.970-977
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• 2014

In this paper, the artificial neural network is used to predict the junction temperature of the IGBT power module, by measuring the temperature sensitive electrical parameters (TSEP) of the module. An experiment circuit is built to measure saturation voltage drop and collector current under different temperature. In order to solve the nonlinear problem of TSEP approach as a junction temperature evaluation method, a Back Propagation (BP) neural network prediction model is established by using the Matlab. With the advantages of non-contact, high sensitivity, and without package open, the proposed method is also potentially promising for on-line junction temperature measurement. The Matlab simulation results show that BP neural network gives a more accuracy results, compared with the method of polynomial fitting.

• 한국통신학회논문지
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• 제16권11호
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• pp.1167-1178
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• 1991

전투지역 환경의 특징을 조사하고 요구되는 네트워크 성질을 고려하여 그 성질에 적합한 네트워크 제어구조를 설계한다. 또한 네트워크의 제어구조를 구성하며 제어구조에서 형성된 근간 네트워크에서의 전송계획을 작성하기 위한 분산 제어 알고리즘을 설계한다. 전투지역에서 변화하는 네트워크의 연결성 유사와 노드의 파괴로 인한 네트워크의 즉각적인 재구성을 신뢰성 있게 하기 위한 분산 알고리즘과 또한 공통 채널을 이용하는 네트워크에서 노드간에 전송충돌이 없는 전송 계획은 작성하기 위한 분산 알고리즘을 제안한다. 특히 중요한 노드가 파괴 및 사라질 때 되도록 적은 지연을 통해 네트워크가 동작할 수 있는 방법을 제안한다. 그리고 제안된 분신 알고리즘을 시뮬레이션을 통해 검증하고 네트워크 동작에 관해 설명한다.

• 제어로봇시스템학회논문지
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• 제10권11호
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• pp.1077-1081
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• 2004

In this Paper we discuss an algorithm for a real-time transmission of moving color image on the TCP/IP network using wavelet transform and neural network. The Image frames received from the camera are two-level wavelet-transformed in the server, and are transmitted to the client on the network. Then, the client performs the inverse wavelet-transform using only the received pieces of each image frame within the prescribed time limit to display the moving images. When the TCP/IP network is busy, only a fraction of each image frame will be delivered. When the line is free, the whole frame of each image will be transferred to the client. The receiver warns the sender of the condition of traffic congestion in the network by sending a special short frame for this specific purpose. The sender can respond to this information of warning by simply reducing the data rate which is adjusted with a neural network or fuzzy logic. In this way we can send a stream of moving images adaptively adjusting to the network traffic condition.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권12호
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• pp.3071-3095
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• 2013

Configuring optimization of wireless sensor networks, which can improve the network performance such as utilization efficiency and network lifetime with minimal energy, has received considerable attention in recent years. In this paper, a cross layer optimal approach is proposed for multi-source linear network and grid network under Rayleigh block-fading channels, which not only achieves an optimal utility but also guarantees the end-to-end reliability. Specifically, in this paper, we first strictly present the optimization method for optimal nodal number $N^*$, nodal placement $d^*$ and nodal transmission structure $p^*$ under constraints of minimum total energy consumption and minimum unit data transmitting energy consumption. Then, based on the facts that nodal energy consumption is higher for those nodes near the sink and those nodes far from the sink may have remaining energy, a cross layer optimal design is proposed to achieve balanced network energy consumption. The design adopts lower reliability requirement and shorter transmission distance for nodes near the sink, and adopts higher reliability requirement and farther transmission distance for nodes far from the sink, the solvability conditions is given as well. In the end, both the theoretical analysis and experimental results for performance evaluation show that the optimal design indeed can improve the network lifetime by 20-50%, network utility by 20% and guarantee desire level of reliability.