• Proceedings of the Korea Society for Simulation Conference
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• 2005.11a
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• pp.108-112
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• 2005

유비쿼터스 컴퓨팅의 기반 설비인 센서 네트워크는 많은 수의 센서 노드들로 구성되며, 각 센서 노드의 하드웨어는 매우 작은 규모이다. 또한 센서 네트워크는 구축 목적에 따라 네트워크 토폴로지 및 라우팅 방식이 결정되어야 하고, 이와 더불어 센서 노드의 하드웨어와 소프트웨어도 필요에 따라 다양하게 변경되어야 한다. 따라서 센서 네트워크가 구현되기 전에 시스템 동작과 성능을 예측할 수 있는 센서 네트워크 시뮬레이터가 필요하다. 기존의 센서 네트워크 시뮬레이터들은 특별한 응용을 위한 특정 기반의 하드웨어와 운영체제에 국한되어 개발되었기 때문에 다양한 센서 네트워크 환경을 지원하기에는 한계가 있으며, 센서 네트워크 설계상의 주요 요소인 전력소모량과 실행 시간에 대한 분석이 포함되지 않았다. 따라서 본 연구에서는 특정한 응용이나 운영체제에 제한을 받지 않으면서 다양하게 센서 네트워크 환경을 설계 및 검증할 수 있고, 더불어 전력소모량과 실행시간 추정도 가능한 시뮬레이터를 개발하는 것을 목표로 하였다. 이를 위해 본 연구에서 개발한 시뮬레이터는 기계명령어-레벨(machine instruction-level)의 이산-사건 시뮬레이션(discrete-event simulation) 기법을 이용함으로써 실제 센서 노드의 프로그램 실행 및 관련 동작들을 세부적으로 예측하는 데 사용될 수 있도록 하였다. 시뮬레이션의 작업부하(workload)인 명령어 트레이스(instruction trace)로는 ATmega128L 마이크로컨트롤러용으로 크로스 컴파일된 인텔 핵스-레코드(.hex) 형식을 사용한다.

• Proceedings of the Korean Information Science Society Conference
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• 2008.06d
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• pp.383-386
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• 2008

기존 개발되어 왔던 센서 네트워크 시뮬레이터는 외부 환경적인 영향요소를 고려하지 않고 네트워크 중심적으로 설계 및 구현되어 왔다. 하지만 센서 네트워크의 사용 목적이 다양해지면서 센서 네트워크를 실내뿐만 아니라 실외 환경에도 적용하려 하고 있다. 실내보다 실외 환경에 센서 네트워크를 구축할 경우 가장 먼저 고려해야 할 사항은 초소형, 저전력의 특징을 가지고 있는 센서들을 배치하는 것이기 때문에 센서가 배치되는 지리적 요소를 고려해야 한다. 따라서 기존 센서 네트워크 시뮬레이터는 지리적 요소가 배제되어 있기 때문에 외부 환경에 적용하여 센서 네트워크를 시뮬레이션하게 되면 상당히 많은 차이점을 보일 수 밖에 없다. 따라서 본 연구에서는 외부 환경에 센서 네트워크를 구축 시 고려되는 핵심 영향요소 중 지리적 요소를 고려하여, 시뮬레이터에 접목시킬 수 있도록 세분화 및 분석하였다. 이를 통해 외부 환경에 센서 네트워크 구축 시 효율적으로 센서를 배치할 수 있도록 앞에서 분석한 지형 정보를 고려하여 센서 탐지 영역 감소율 분석을 위한 시뮬레이터 모듈을 설계한다.

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.11
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• pp.1021-1030
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• 2010

In the sensor network, many tiny nodes construct Ad-Hoc network using wireless interface. As this type of system consists of thousands of nodes, managing each sensor node in real world after deploying them is very difficult. In order to install the sensor network successfully, it is necessary to verify its software using a simulator beforehand. In fact Sensor network simulators require high fidelity and timing accuracy to be used as a design, implementation, and evaluation tool of wireless sensor networks. Cycle-accurate, instruction-level simulation is the known solution for those purposes. In this paper, we developed an instruction-level sensor network simulator for Telos sensor node as named TeloSlM. It consists of MSP430 and CC2420. Recently, Telos is the most popular mote because MSP430 can consume the minimum energy in recent motes and CC2420 can support Zigbee. So that TeloSlM can provide the easy way for the developers to verify software. It is cycle-accurate in instruction-level simulator that is indispensable for OS and the specific functions and can simulate scalable sensor network at the same time. In addition, TeloSlM provides the GUI Tool to show result easily.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.743-746
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• 2013

Most of existing simulator for wireless sensor networks (WSNs) models the battery-based sensor and provides the MAC and routing protocols designed for the battery-based WSNs. Recently, however, as the energy harvesting sensor systems are studied widely, the require of the simulator for them is getting increased; but the related work is insignificant. Unlike the existing simulators, the simulator for the energy-harvesting WSNs requires the new energy model which is integrated with the energy-harvesting model, rechargeable battery model and energy-consuming model. Additionally, it should provide the well-known MAC and routing protocols designed for the energy-harvesting WSNs, and also provide the user-friendly interface for the convenient usage. In this work, we analysis the existing Castalia simulator and revise it for the user-friendly simulator for the solar energy harvesting WSNs.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2008.05a
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• pp.845-848
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• 2008

In case of application test in wireless sensor network, there are many difficulties in power supplying to wireless sensor node, installing and deploying of sensor nodes, maintaining and debugging. For efficient development and maintenance of wireless sensor network-based application, a simulator is essentially needed. However, the existing wireless sensor network simulators are focused to distribution of MAC address, routing, power management, it is not suitable to test the function of application in host which processes message through sink node. In this paper, we designed and implemented a log-based simulator for application running in host connected sink node.

• Proceedings of the Korean Information Science Society Conference
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• 2006.06a
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• pp.169-171
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• 2006

센서네트워크의 전력소모를 최소화, 최적화하기 위해서는 센서노드들을 실제 환경에 설치하기 이전에 시뮬레이터를 이용하여 센서네트워크의 전력상황을 정확히 추정해야 한다. 이러한 시뮬레이터를 위해서는 센서노드의 소모에너지를 정확히 분석할 수 있는 전력모델이 반드시 요구된다. 본 논문은 센서노드의 소비전력을 정확하게 측정할 수 있는 환경과 방법을 제시하며, 이 환경과 방법을 이용하여 센서노드의 소모전력을 명령어기반과 동작상태기반으로 정확히 측정 분석하고, 센서네트워크 시뮬레이터에 적용할 수 있는 전력모델 개발과정에 대해 소개한다. 전력모델링에 사용된 센서노드는 ATmega128L과 CC2420으로 구성된 Nano-24노드이다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.3
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• pp.733-739
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• 2011

Recently, a lots of research proposals and results on mobile sensor network are actively announced. The most of such works are based on general-purposed network simulators such as ns-2, mathlab, etc. But, It is not easy to model and simulate the detail activities of each sensor node, data deliveries between them, and its cost such as power consumption and resource utilization, so that the simulation results of those simulators show the limited aspects of overall networks features or performance metrics. In this paper proposed, power consumption of each node, performance, mobility, and location information in operation-level of the network that can simulate a wireless sensor network simulator platform. Because the network routing algorithm analysis of being developed in an existing becomes available, the proposed simulator can usability in the new network routing algorithm development.

• Journal of KIISE:Computing Practices and Letters
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• v.13 no.6
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• pp.358-370
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• 2007

Software simulations have been widely used for the design and application development of a wireless sensor network that is an infrastructure of ubiquitous computing. In this study, we develop a sensor network simulator that can verify the behavior of sensor network applications, estimate execution time and power consumption, and simulate a large-scale sensor network. To implement the simulator, we use an instruction-level parallel discrete-event simulation method. Instruction-level simulation uses executable images loaded into a real sensor board as workload, such that it results in the high degree of details. Parallel simulation makes simulation of a large-scale sensor network possible by distributing workload into multiple computers. The simulator can predict the amount of power consumption based on operating time of modules in a sensor node and counting the number of executed instructions by kind. Also it can simulate ubiquitous applications with various scenarios and debug programs. Instruction traces used as workload for simulations are executable images produced by the cross-compiler for ATmega128L microcontroller.

• Journal of Korea Multimedia Society
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• v.16 no.3
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• pp.354-365
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• 2013

Node deployment is one of the important problems in achieving good quality of service in wireless sensor network. The purpose of this paper is to develop an interactive system that supports user's decision makings in designing sensor fields. The system provides grid-based initial deployment algorithm supporting three types of node deployment pattern, area-fill, path-cover, and barrier-cover deployment pattern. After initial deployment, an iterative refinement algorithm can be applied, which takes care of the irregularity of the deployment area and the heterogeneity of sensors. The proposed system helps users to effectively deploy nodes in the sensor field, analyse the detection performance of the deployment, and perform network simulations. The developed system can be utilized as a part of the development environment of the surveillance sensor network system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.2
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• pp.477-485
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• 2015

Most existing simulators for wireless sensor networks(WSNs) are modeling battery-based sensors and providing MAC and routing protocols designed for battery-based WSNs. However, recently, as energy harvesting sensor systems have been studied more extensively, there is an increasing need for appropriate simulators, but few related studies have employed such simulators. Unlike existing simulators, simulators for energy harvesting WSNs require a new energy model that is integrated with the energy-harvesting model, rechargeable battery model, and energy-consuming model. Additionally, it should enable the applications of the well-known MAC and routing protocols designed for energy-harvesting WSNs, as well as a user-friendly interface for convenience. In this work, we design and implement a user-friendly simulator for solar energy-harvesting WSNs.