• The Journal of the Korea institute of electronic communication sciences
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• v.11 no.9
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• pp.917-922
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• 2016

There are many researches related on the brain wave signals to monitor the state of human health. Especially, some patients in the medical hospital need to be monitored in case of emergencies such as a seizure, an epilepsy and so on. To support QoS of the brain wave network in the hospital is a vital issue and the Opnet simulator is used for this experiment. So the efficient network topology is required for the stability of the brain wave network service. The brain waves of the patients are collected from the sensor devices in the network. Two different sensor network topologies are suggested and simulated for the comparison of the network performance. One topology is localized and the other is non-localized network. The simulation is operated with the Opnet simulator.

• Journal of the Korea Society for Simulation
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• v.15 no.4
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• pp.29-39
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• 2006

Sensor networks consist of small nodes with sensing, computation, and wireless communications capabilities. A number of routing protocols to transmit the data between the base station and sensor nodes have been proposed. Intanagonwiwat et al. proposed the directed diffusion in which the base station sends interest messages and waits for data from the nodes in the specific regions. Since the directed diffusion propagates every interest message to whole nodes in the network, it causes energy dissipation of nodes. In this paper, we propose a novel data propagation method, which limits the data transmission area according to a threshold value for reducing the energy consumption in the network. A fuzzy logic is exploited to determine the threshold value by considering the energy and density of all the deployed nodes. The simulation models are designed and implemented based on DEVS formalism which is theoretically well grounded means of expressing discrete event simulation models.

• Proceedings of the Korea Society for Simulation Conference
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• 1998.03a
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• pp.21-26
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• 1998

본 연구는 Zeigler가 제시한 DEVS 모델링 및 시뮬레이션 방법론에 전문가 시스템 및 기호적 시뮬레이션기법등 다양한 추론기법들을 결합시킴에 의해, 캠퍼스 네트워크의 설계 및 성능분석 자동화 방법론과 도구의 개발을 주 목적으로 한다. 이를 위하여, 본 연구에서는 SES/MB를 이용하여 정보시스템의 구성설계 및 성능분석 자동화 방법론을 제시하였고, 캠퍼스 네트워크에 대한 사례 연구를 통하여 그 적용 가능성을 검토하였다. 기존의 연구들과의 차별성은 다음과 같이 요약된다; 첫째, 구성 전문가의 지식베이스를 활용한 구성 설계 자동화, 둘째, 해석적 기법이 아닌 시뮬레이션 기법을 이용한 성능분석, 셋째, 요구조전 및 제약조건들에 따른 행동궤적의 자동생성 및 이를 이용한 성능분석 자동화등을 들 수 있다.

• Journal of the Korea Society for Simulation
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• v.17 no.4
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• pp.113-122
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• 2008

Emerging of wireless sensor networks results in several modeling and design issues on the network simulations. In previous works, most researchers have used three evaluation approaches such as analysis method, computer simulation and real test-bed measurement in order to verify the performance of wireless sensor networks. Among these approaches, analysis method is widely used since the other approaches have significant drawbacks such as limitation of network power, computational problem of distribute processing and complication of debugging process. However, the analysis method also shows poor performance when it deals with complex operations in huge wireless sensor networks. Thus, in this paper, we design and develop SMAC and AODV protocols by using Ptolemy tool in order to improve the simulation performance. The developed Ptolemy actor can be easily adapted to compare and evaluate the various protocols for wireless sensor networks.

• Proceedings of the Korea Society for Simulation Conference
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• 2005.05a
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• pp.15-20
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• 2005

급속한 정보 기술의 발전에 따라 인터넷 서비스의 고속화에 대한 요구가 급증하고 있다. 이에 따라 인터넷 관련 네트워크 장비들의 수요가 앞으로도 지속적으로 증대할 것으로 쉽게 예상할 수 있다. 하지만 국내 네트워크 관련 장비들은 아직도 외산에 많이 의존하는 실정이며, 특히 인터넷 망을 구성하는 핵심 요소인 인터넷 서버는 외산에 절대적으로 의존을 하고 있다. 따라서 개인용 컴퓨터 생산기술, 중대형 컴퓨터 설계 개발 기술, 메모리 설계 생산 기술 등 국내 산업계가 보유하고 있는 우수한 기술을 바탕으로 지속적인 연구 개발이 이루어져야 할 것이다. 본 논문은 인터넷 기반에서 1Gbps의 전송속도를 갖는 스트리밍 서버의 핵심 구성요소인 네트워크 스토리지 서브시스템의 구조를 제안한다. 본 연구를 통하여 국내에서도 중대형시스템을 위한 컴퓨터시스템의 구조에 대한 연구가 활성화되기를 기대한다.

• Journal of the Korea Society for Simulation
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• v.21 no.3
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• pp.71-78
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• 2012

This research discusses the application of the control variables to achieve a more precise estimation for the target response in queueing network simulation. The efficiency of control variable method in estimating the response depends upon how we choose a set of control variables strongly correlated with the response and how we construct a function of selected control variables. For a class of queuing network simulations, the random variables that drive the simulation are basically the service-time and routing probability random variables. Most of applications of control variable method focus on utilization of the service time random variables for constructing a controlled estimator. This research attempts to suggest a controlled estimator which uses these two kinds of random variables and explore the efficiency of these estimators in estimating the reponses for computer network system. Simulation experiments on this model show the promising results for application of routing probability control variables. We consider the applications of the routing probability control variables to various simulation models and combined control variables using information of service time and routing probability together in constructing a control variable as future researches.

• Journal of the Korea Society for Simulation
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• v.18 no.4
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• pp.127-136
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• 2009

Modeling and Simulation, especially in mobile ad hoc network(MANET), are the most effective way to analyze performance or optimize system parameters without establishing real network environment. Focusing mainly on overall network behaviors in MANET concerns dynamics of network transport operations, which can efficiently be characterized with event based system states rather than execution details of protocols. We thus consider the network as a discrete event system to analyze dynamics of network transport performance. Zeigler's set-theoretic DEVS(Discrete Event Systems Specification) formalism can support specification of a discrete event system in hierarchical, modular manner. The DEVSim++ simulation environment can not only provide a rigorous modeling methodology based on the DEVS formalism but also support modelers to develop discrete event models using the hierarchical composition methodology in object-orientation. This environment however hardly supports to specify connection paths of network nodes, which are continuously altered due to mobility of nodes. This paper proposes a DEVS-based modeling and simulation methodology of enabling node mobility, and develops DEVS models for the mobile ad hoc network. We also simulate developed models with the DEVSim++ engine to verify the proposal.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04a
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• pp.172-174
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• 2002

Ethernet PON(Passive Optical Network)은 최근 들어 활발하게 연구되고 있는 경제적이고 효율적인 가입자망 구조이다. 본 논문에서는 OPNET 시뮬레이션 도구를 사용하여 Ethernet PON 시뮬레이션 모델을 구현하고, 시뮬레이션 한다. OLT(Optical Line Termination)에 연결되는 ONU(Optical Network Unit)의 개수, 트래픽 및 네트워크 파라미터에 대한 ONU의 버퍼 크기(buffer size)를 분석하고, 이 결과로서 실제 네트워크에 적용할 효율적이고 적정한 ONU의 버퍼 크기를 제안한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.1293-1295
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• 2011

DEVS(Discrete Event System Specification)형식론은 계층적이고 모듈화 된 형태로 이산사건 시스템을 기술하는 수학적 이론이다. DEVS 형식론에 기반한 모델링과 시뮬레이션은 여러 시뮬레이션시스템에 적용되고 있으며, 보통 단일서버에 단일 프로세스로 구현되고 있다(3). 본 연구는 DEVS 모델을 네트워크기반의 여러 분산서버에 나누어서 모델링하며, 이를 시뮬레이션 하기 위한 처리 기법에 관한 것이다.

• Journal of KIISE:Computing Practices and Letters
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• v.8 no.4
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• pp.457-467
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• 2002

In order to simulate cyber attacks and predict network behavior by attacks, we should represent attributes of network components in the simulation model, and should express characteristics of systems that carry out various cyber attacks and defend from these attacks. To simulate how network load may change under the cyber attacks, we extended SSF[9, 10] that is process-based event-oriented simulation system. We added a firewall class and a packet manipulator into the SSFNet that is a component of SSF. The firewall class, which is related to the security, is to simulate cyber attacks, and the packet manipulator is a set of functions to write attack programs for the simulation. The extended SSFNet enables to simulate a network with the security systems and provides advantages that make easy to port already exsiting attack programs and apply them to the simulation evironment. We made a vitual network model to verify operations of the added classes, and simulated a smurf attack that is a representative denial of sevive attack, and observed the network behavior under the smurf attack. The results showed that the firewall class and packet manipulator developed in this paper worked normaly.