• 한국ITS학회:학술대회논문집
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• 2002.11a
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• pp.55-58
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• 2002

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.6
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• pp.2504-2526
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• 2016

Wireless sensors are always deployed in brutal environments, but as we know, the nodes are powered only by non-replaceable batteries with limited energy. Sending, receiving and transporting information require the supply of energy. The essential problem of wireless sensor network (WSN) is to save energy consumption and prolong network lifetime. This paper presents a new communication protocol for WSN called Dynamical Threshold Control Algorithm with three-parameter Particle Swarm Optimization and Ant Colony Optimization based on residual energy (DPA). We first use the state of WSN to partition the region adaptively. Moreover, a three-parameter of particle swarm optimization (PSO) algorithm is proposed and a new fitness function is obtained. The optimal path among the CHs and Base Station (BS) is obtained by the ant colony optimization (ACO) algorithm based on residual energy. Dynamical threshold control algorithm (DTCA) is introduced when we re-select the CHs. Compared to the results obtained by using APSO, ANT and I-LEACH protocols, our DPA protocol tremendously prolongs the lifecycle of network. We observe 48.3%, 43.0%, and 24.9% more percentages of rounds respectively performed by DPA over APSO, ANT and I-LEACH.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.304-305
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• 2019

Wireless sensor networks are used in various applications due to the flexibility of network. In particular, the energy harvesting wireless sensor network (EH-WSN) has been introduced to solve the power limitation problem, and the application range of the sensor network is further expanded. In order to transmit the sensed data to the destination node, the MAC protocol considering the power of the nodes has been studied. The power situation and the urgency of the data are important elements of data transmission, and a medium access control protocol that comprehensively considers data urgency and power of nodes is required. In this paper, we propose a medium access control protocol which can select relay nodes according to power situation and urgency of data.

• The Journal of the Korea Contents Association
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• v.6 no.12
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• pp.136-146
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• 2006

In Wireless Sensor Network(WSN) a sensor node transfers sensing data to the base-node through multi-hop because of the limited transmission range. Also because of the limited energy of the sensor node, the sensor nodes are required to consume their energy evenly to prolong the lifetime of the network. LMPR is a routing protocol for WSN, LMPR configures the network autonomously based on level which is the depth from the base-node, and distributes the transmission and computation load of the network to each sensor node. This paper implements LMPR on TinyOS and experiments on the performance of LMPR in WSN. As the result, the average of the received rate of LMPR is 91.39% and LMPR distributes the load of the transmission and computation about 4.6 times compare to the shortest cost routing protocol. We expect LMPR evenly distributes the transmission and computation load of the network to each node, and the lifetime of the network will be longer than it used to be.

• Journal of Digital Contents Society
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• v.13 no.1
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• pp.129-139
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• 2012

Recently, the smart sensor technologies are rapidly developing in accordance with the technology of implementation in small-size, low-cost, and low power consumption. With these sensor technologies, especially with MEMS and NEMS, the researches on the WSN are actively performing. For the WSN, a network security function is essential even it requires high physical resource level. But the WSN with the smart sensor technologies could not be provided with enough resources for the function because of limited size, computing-power, low-power, and etc. In this paper, we introduce security and key-management protocols of WSN.

• Journal of the Korea Society for Simulation
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• v.25 no.4
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• pp.43-52
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• 2016

Wireless sensor network (WSN) technology has been implemented using commercial off-the-shelf microcontrollers (MCUs), In this paper, we propose a simulation environment to realize the physical evaluation of FPGA-based node by considering vertically cross-layered WSN in terms of physical node device and network interconnection perspective. The proposed simulation framework emulates the physical FPGA-based sensor nodes to interoperate with the NS3 through the runtime infrastructure (RTI). For the emulation and interoperation of FPGA-based nodes, we extend a vendor-providing FPGA design tool from the host computer and a script to execute the interoperation procedures. The standalone NS-3 is also revised to perform interoperation through the RTI. To resolve the different time-advance mechanisms between the FPGA emulation and event-driven NS3 simulation, the pre-simulation technique is applied to the proposed environment. The proposed environment is applied to IEEE 802.15.4-based low-rate, wireless personal area network communication.

• The Journal of the Korea institute of electronic communication sciences
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• v.6 no.5
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• pp.783-788
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• 2011

Most management systems that are currently in place to monitor the safety of bridges - working in conjunction with a wireless sensor network - are based on a wired infrastructure. Not only do these wired systems expensive to install, but they are expensive to replace or repair should a problem occur with the system while in operation. In an effort to address these problems, there have been many researches that attempted to use a wireless sensor network for the existing wired measurement system. However, they have been met with difficulty due to the problems of power and synchronization in actually bringing the management system to the bridges as a commercial system. This paper proposes a bridge management system based on WSN (Wireless Sensor Network) which uses wireless LAN technology. The system was tested using a testbed and when the obtained data were compared to the data collected using the existing wired counterpart it was found that they were almost the same.

• Journal of Information Processing Systems
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• v.6 no.3
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• pp.295-306
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• 2010

Network lifetime is a critical issue in Wireless Sensor Networks (WSNs). In which, a large number of sensor nodes communicate together to perform a predetermined sensing task. In such networks, the network life time depends mainly on the lifetime of the sensor nodes constituting the network. Therefore, it is essential to balance the energy consumption among all sensor nodes to ensure the network connectivity. In this paper, we propose an energy-efficient data routing protocol for wireless sensor networks. Contrary to the protocol proposed in [6], that always selects the path with minimum hop count to the base station, our proposed routing protocol may choose a longer path that will provide better distribution of the energy consumption among the sensor nodes. Simulation results indicate clearly that compared to the routing protocol proposed in [6], our proposed protocol evenly distributes the energy consumption among the network nodes thus maximizing the network life time.

• IEMEK Journal of Embedded Systems and Applications
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• v.1 no.2
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• pp.37-42
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• 2006

In this paper, we study a problem of providing reliable data transmission in wireless sensor network(WSN). A system with forward error correction9FEC) can provide an objective reliability while using less transmission power than a system without FEC. We propose the use of LDPC codes of various code rate (0.53, 0.81, 0.91) of FEC for WSN. Node-node-node interference is considered in the simulation in addition to AWGN in the channel. It is shown that the rate of 0.91 LDPC coded system obtained 7dB gain in signal to noise ratio over a system without FEC.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.37-38
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• 2018

최근 인터넷 기술의 발달로 다수의 센서 노드로 구성된 Wireless Sensor Network (WSN) 환경이 증가하고 있으며, 이에 따라 무선으로 연결된 수많은 노드에 의해 생성되는 데이터의 양이 방대해지고 있지만, 데이터의 특성 및 패턴이 불규칙하여 기존 정적 분류 기법으로는 한계가 있다. 따라서 본 논문에서는 이러한 WSN 환경에서 생성되는 방대한 양의 데이터를 효율적으로 처리하기 위해 기계학습을 이용한 데이터 마이닝(Data mining) 기법에 대해 서술한다. 데이터 마이닝이란 데이터의 패턴 및 데이터 간의 관계를 이용하여 의사결정에 필요한 정보를 추출하는 것으로 다양한 기계 학습 알고리즘이 존재한다.