• Journal of the Korea Society of Computer and Information
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• v.13 no.4
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• pp.127-132
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• 2008

Wireless sensor network technologies applicable to various industrial fields are rapidly growing. Because it is difficult to change a battery for the once distributed wireless sensor network, energy efficient design is very critical. In order to achieve this purpose in network design, a number of studies have been examining the energy efficient routing protocol. The sensor network consumes energy in proportion to the distance of data transmission and the data to send. Cluster-based routing Protocols such as LEACH-C achieve energy efficiency through minimizing the distance of data transmission. In LEACH-C, however, the total distance between the nodes consisting the clusters are considered important in constructing clustering. This paper examines the cluster-head-selection-algorithm that reflect the distance between the base station and the cluster-head having a big influence on energy consumption. The Proposed method in this paper brought the result that the performance improved average $4{\sim}7%$ when LEACH-C and the base station are located beyond a certain distance. This result showed that the distance between cluster-head and the base station had a substantial influence on lifetime performance in the cluster-based routing protocol.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10a
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• pp.616-618
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• 2003

최근 급속하게 성장하고 있는 무선 이동 통신 분야중의 한 분야가 Ad hoc 네트워크 분야일 것이다. Ad hoc 네트워크는 기존의 고정된 네트워크의 한계를 뛰어 넘는 네트워크이다. 본 연구에서는 Ad hoc 네트워크의 클러스터 기반의 라우팅 프로토콜에서의 인증에 대한 프로토콜을 멀티 계층으로 설계하였다. CBRP(Cluster Based Routing Protocol)의 라우팅 프로토콜에서는 클러스터간의 인증을 위하여 CH(Cluster Head)간의 인증을 통하여 인증을 하게 된다. CH간의 신뢰성을 위하여 MCH(Main Cluster Head)를 두어 CH간의 신뢰성을 보장함으로써 상호 클러스터간의 인증을 위한 프로토콜을 설계하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.2
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• pp.680-699
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• 2015

The use of web service has been increased rapidly, with an increase in the number of available services, finding the exact service is the challenging task. Service discovery is the most significant job to complete the service discoverers needs. In order to achieve the efficient service discovery, we focus on designing a cluster based service discovery model for service registering and service provisioning among all mobile nodes in a mobile ad hoc network (MANETs). A dynamic backbone of nodes (i.e. cluster heads) that forms a service repository to which MANET nodes can publish their services and/or send their service queries. The designed model is based on storing services with their service description on cluster head nodes that are found in accordance with the proposed cluster head election model. In addition to identifying and analyzing the system parameters for finding the effectiveness of our model, this paper studies the stability analysis of the network, overhead of the cluster, and bandwidth utilization and network traffic is evaluated using analytic derivations and experimental evaluation has been done.

• Journal of the Institute of Convergence Signal Processing
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• v.12 no.1
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• pp.38-43
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• 2011

Cluster-based routing is high energy consumption of cluster head nodes. A recent approach to resolving the problem is the dynamic cluster technique that periodically re-selects cluster head nodes to distribute energy consumption of the sensor nodes. However, the dynamic clustering technique has a problem that repetitive construction of clustering consumes the more energies. This paper proposes a solution to the problems described above from the energy efficiency perspective. The round-robin cluster header(RRCH) technique, which fixes the initially structured cluster and sequentially selects cluster head nodes, is suggested for solving the energy consumption problem regarding repetitive cluster construction. A simulation result were compared with the performances of two of the most widely used conventional techniques, the LEACH(Low Energy Adaptive Clustering Hierarchy) and HEED(Hybrid, Energy Efficient, Distributed Clustering) algorithms, based on energy consumption, remaining energy for each node and uniform distribution. The evaluation confirmed that in terms of energy consumption, the technique proposed in this paper was 26.5% and 20% more efficient than LEACH and HEED, respectively.

• Journal of IKEEE
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• v.20 no.4
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• pp.449-453
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• 2016

Failures would occur because of the hostile nature environment in Wireless Sensor Networks (WSNs) which is deployed randomly. Therefore, considering faults in WSNs is essential when we design WSN. This paper classified fault model in the sensor node. Especially, this paper proposed new error correcting code scheme and fault recovery algorithm in the CH(Cluster Head) node. For the range of the small size information (<16), the parity size of the proposed code scheme has the same parity length compared with the Hamming code, and it has a benefit to generate code word very simple way. This is very essential to maintain reliability in WSN with increase power efficiency.

• 전자공학회논문지 IE
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• v.46 no.2
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• pp.11-17
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• 2009

This study speak abut demerit of LEACH, EACHS, and HEED. There are demerits that LEACH, EACHS shall be rest energy of all nodes and HEED can't guarantee the number of cluster head. Proposed energy efficiency of selected cluster head guarantees the number of cluster head which is a demerit of HEED and minimizes the node of DEAD. Energy efficiency of simulation is compared by MA TLAB.

• The Research Journal of the Costume Culture
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• v.13 no.2 s.55
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• pp.200-208
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• 2005

This study was aimed to provide the measurement data and shape classification of the head of the Korean female children for the headwear sizing systems. Four hundred nineteen female children, aged nine to twelve years, participated for this study. The 19 regions on the head and height, weight of the subjects were directly measured by the expert experimenters. Factor analysis, cluster analysis, GLM analysis and Tukey HSD test were performed using these data. Through factor analysis, five factors were extracted upon factor scores and those factors comprised $71.318\%$ for the total variances. Three clusters as their head shape were categorized using fiver factor scores by cluster analysis. Type 1 was characterized by the widest head width, Bitragion arc, and shortest head length, and medium height and weight. Type 2 had the longest head length and the widest side head width and the highest head circumference, and highest height and largest weight. Type 3 was characterized by the medium head length, smallest head circumstance, narrowest head width and side head width, and smallest height and weight.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.38C no.11
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• pp.1060-1073
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• 2013

In this paper, we present a cluster-based routing scheme for efficiently delivering data to group mobile users by extracting and clustering mobile user group simply from beacon message information in wireless ad-hoc networks. First, we propose an online-clustering mechanism that uses a local neighbor table on each node by recursively transmitting to neighbor nodes, and forms a group table where a set of listed nodes are classified as group members, without incurring much overhead. A node that appears the most frequently from neighbor tables throughout the network is selected as the cluster-head node, serving as a data gateway for the intra-cluster. Second, we design an inter-cluster routing that delivers data from stationary data sources to the selected cluster-head node, and a intra-cluster routing to deliver from the cluster-head node to users. Simulation results based on ns-2 in the ad-hoc networks consisting of 518 stationary nodes and 20 mobile nodes show that our proposed clustering mechanism achieves high clustering accuracy of 96 % on average. Regarding routing performance, our cluster-based routing scheme outperforms a naive one-to-one routing scheme without any clustering by reducing routing cost up to 1/20. Also, our intra-cluster routing utilizing a selected cluster-head node reduces routing cost in half as opposed to a counterpart of the intra-cluster routing through a randomly-selected internal group member.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.12
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• pp.4991-4996
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• 2010

Clustering method in wireless sensor network is the technique that forms the cluster to aggregate the data and transmit them at the same time that they can use the energy efficiently. Even though cluster group model is based on clustering, it differs from previous method that reducing the total energy consumption by separating energy overload to cluster group head and cluster head. In this thesis, I calculate the optimal cluster group number and cluster number in this kind of cluster group model according to threshold of energy consumption model. By using that I can minimize the total energy consumption in sensor network and maximize the network lifetime. I also show that proposed cluster group model is better than previous clustering method at the point of network energy efficiency.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.47 no.6
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• pp.154-161
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• 2010

The properties of sensor node having a restricted energy in WSN have a difficult in various application fields to apply. Our paper proposed the cluster head selection which is an effective energy in order to manage in wireless sensor network. The proposed algorithm improves an energy efficient and is applied to various network environment considering energy capacity between cluster head and nodes and distance between cluster head and base station(sink node). By using the ns-2 simulator, we evaluate the performance of the proposed scheme in comparison with the original LEACH-C. Experimental results validate our scheme, showing a better performance than original LEACH-C in terms of the number of outliving nodes and the quantity of energy consumption as time evolves.