• Proceedings of the Korean Information Science Society Conference
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• 2007.06d
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• pp.310-314
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• 2007

WiBro는 IEEE 802.16에 이동성을 추가한 것으로서 현재 IPv4만을 지원하는데, IPv6를 적용할 경우 발생할 수 있는 문제점들은 최근에 이르러서야 이슈가 되고 있다. WiBro MAC은 IP 프로토콜 설계시 기본이 되는 이더넷과 많은 차이점이 존재한다. 망 구성요소들의 점대다(point-to-multipoint) 연결 형태와 상향링크 멀티캐스트 불가능으로 인해 정상적인 IP 멀티캐스팅/브로드캐스팅 동작이 어렵기 때문이다. 또한 이더넷과 같이 48비트 MAC 주소를 사용하는 것이 아니라 16비트 CID를 사용하기 때문에 IPv6를 적용할 경우 IPv6 Address Auto-Configuration, Neighbor Discovery, Duplicate Address Detection, Multicast Listener Discovery 등에서 정상적인 동작이 불가능하다. 이에 본 논문은 WiBro의 IPv6에서 MLD 프로토콜 적용방안과 무선자원을 효과적으로 사용하는 방법을 제시한다.

• Information and Communications Magazine
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• v.28 no.12
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• pp.69-82
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• 2011

In recent years, the employment of directional antennas in ad hoc networks has significantly increased. MAC protocols for ad hoc networks with directional antennas have the potentiality of spatial reuse, large coverage range and network capacity, which mitigates the negative effects associated with omnidirectional antenna systems. However, they suffer from some issues such as hidden terminal problems, deafness, neighbor discovery, flaws with directional carrier sensing, etc. In this paper, we have surveyed the MAC protocols for ad hoc networks with directional antennas, which have been published in the literature, and compared them qualitatively in terms of major characteristics and network performances.

• Communications for Statistical Applications and Methods
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• v.12 no.2
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• pp.509-520
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• 2005

Data fusion is defined as the process of combining data and information from different sources for the effectiveness of the usage of useful information contents. In this paper, we propose a data fusion algorithm using k-means clustering method for data enrichment to improve data quality in knowledge discovery in database(KDD) process. An empirical study was conducted to compare the proposed data fusion technique with the existing techniques and shows that the newly proposed clustering data fusion technique has low MSE in continuous fusion variables.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.848-849
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• 2012

IEEE 802.15.3c 는 IEEE 802.15.3 WPAN 에 mmWave(millimeter wave) 기반 물리 계층의 표준화를 하는 것을 목적으로 하며, 사용 대역의 특성상 지향성(directional) 안테나를 이용해서 통신을 한다. 또한 하나의 노드를 중심으로 피코넷을 형성하고 그 피코넷 내에서 peer 노드들 간 직접 통신을 위해서 peer 노드를 발견하는 효율적인 기법이 요구된다. 본 논문에서는 지향성 안테나를 사용하는 IEEE 802.15.3c 의 특성을 고려한 효율적인 이웃 발견 기법을 제안한다.

• Journal of KIISE:Information Networking
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• v.31 no.6
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• pp.673-684
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• 2004

As the wireless mobile communication is being widespread, mobile technologies will have important roles in the communication with the explosive growth of demanding for wireless portable devices. Among the mobile technologies, a great deal of interest has been taken in mobile ad hoc network (MANET), which is a collection of wireless mobile nodes forming a temporary network without the aid of stationary infrastructure in recent. Furthermore, considering characteristic of ad hoc networks, the design of efficient routing protocols is an important issue. In recent years, on-demand protocols among routing protocols have noticed because of the low routing overhead. However, on-demand protocols suffer from production of the enormous query Packets by broadcasting in order to setup routes, that is, a flooding scheme. The flooding scheme is very costly and results in serious problem, which we refer as the broadcast storm problem. In this paper, we propose a Dynamic Adaptation Query flooding Using Neighbor Topology (NT-DAQ) scheme, in order to resolve the broadcast storm Problem. When a route discovery is in progress, each mobile node decides on the basis of neighbor topology information whether discovery process participates or not. Therefore, our proposed scheme enables to improve network performance in which minimize the number of query rackets. We evaluate the efficiency of our proposed scheme through simulation.

• The KIPS Transactions:PartC
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• v.12C no.6 s.102
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• pp.809-816
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• 2005

MANET(mobile ad hoc network) cn be one of the access networks of BcN(broadband convergence network), and an user node requires address auto-configuration protocol for mu14i-hop environment. Some address auto-configuration protocols are proposed for independent MANET, but they don't consider BcN-accessable MANET environment. In this paper, new address auto-configuration protocol for wireless nodes is proposed. With this proposal, they ran configure their global addresses automatically in hybrid MANETs as BcN access networks. The autoconfiguration protocol modifies IPv6 NDP(neighbor discovery protocol) messages to deliver global prefix information to all wireless nodes, and avoids message boradcasting to minimize network overhead.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.34 no.7B
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• pp.668-676
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• 2009

Hierarchical Mobile 1Pv6(HM1Pv6) have been proposed by IETF(Internet Engineering Task Force) beginning from Mobile 1Pv6 for mobility support in IP networks, however these researches relying on client based mobility support have not been drawn attention due to excessive consumption of wireless resources and long handover delay. In this paper, we propose the Router-based Binding Update(RBU) scheme to solve problems in existing client-based mobility support schemes. The router registers location information of mobile nodes through Neighbor Discovery protocol without additional codes for the RBU scheme to a terminal operated by existing HMlPv6. By using this the RBU scheme is designed so that it can support partial nupport based mobility and reduce handover latency rather than using HMIPv6. It is analysed and compared with existing HMIPv6 to verify efficiency of the RBU scheme. As a result, the RBU scheme has outperformed existing HMIPv6 by 15% in terms of macro handover delay especially when long delay on wireless links exists.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.31 no.11A
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• pp.1147-1158
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• 2006

Clustering algorithm is an essential element to implement a hierarchical routing protocol, especially for a large-scale wireless sensor network. In this paper, we propose a new type of energy-efficient clustering algorithm, which maximizes the physical distance between cluster head and gateway by a neighbor node discovery mechanism. Furthermore, a slave/master patching scheme is introduced as a useful means of further improving the energy-efficiency. It has been shown that the number of cluster heads can be reduced by as many as 21% as compared with the existing clustering algorithms.

• Journal of Information Technology Application
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• v.1
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• pp.173-211
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• 1999

The task of classification permeates all walks of life, from business and economics to science and public policy. In this context, nonlinear techniques from artificial intelligence have often proven to be more effective than the methods of classical statistics. The objective of knowledge discovery and data mining is to support decision making through the effective use of information. The automated approach to knowledge discovery is especially useful when dealing with large data sets or complex relationships. For many applications, automated software may find subtle patterns which escape the notice of manual analysis, or whose complexity exceeds the cognitive capabilities of humans. This paper explores the utility of a collaborative learning approach involving integrated models in the preprocessing and postprocessing stages. For instance, a genetic algorithm effects feature-weight optimization in a preprocessing module. Moreover, an inductive tree, artificial neural network (ANN), and k-nearest neighbor (kNN) techniques serve as postprocessing modules. More specifically, the postprocessors act as second0order classifiers which determine the best first-order classifier on a case-by-case basis. In addition to the second-order models, a voting scheme is investigated as a simple, but efficient, postprocessing model. The first-order models consist of statistical and machine learning models such as logistic regression (logit), multivariate discriminant analysis (MDA), ANN, and kNN. The genetic algorithm, inductive decision tree, and voting scheme act as kernel modules for collaborative learning. These ideas are explored against the background of a practical application relating to financial fraud management which exemplifies a binary classification problem.

• The KIPS Transactions:PartC
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• v.15C no.3
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• pp.213-220
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• 2008

A MANET is an autonomous, infrastructureless system that consists of mobile nodes. In MANET, on-demand routing protocols are usually used because network topology changes frequently. The current approach in case of broken routes is to flag an error and re-initiate route discovery either at the source or at the intermediate node. Repairing these broken links is a costly affair in terms of routing overhead and delay involved. Therefore, this paper propose a NAODV(Neighbor-aware AODV) protocol that stands on the basis of an AODV. It sets up the route rapidly if it operates for setting the route directly by using sequence number of neighbor nodes without re-search the route when the route to destination node is broken. Also, it reduces loss of packets. We use NS-2 for the computer simulation and validate that the proposed scheme is better than general AODV in terms of packet delivery ratio and average end-to-end delay. Also, when the proposed protocol is applied to the large ad-hoc network with multiple nodes, the performance is more efficient.