• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2010.04a
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• pp.299-300
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• 2010

This paper presents experimental results on frequency interference phenomena between WiFi and ZogBee communication systems which are used for wireless communication in a port. When communication systems use a frequency band in a region, it hurts communication reliability. Hence, understanding and analysis on frequency interference phenomena through experiments. With various experiments between WiFi and ZigBee, we find out that 26th channel of ZigBee collides with WiFi communication channels, which is unknown result yet.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.6
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• pp.1327-1332
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• 2015

In this paper, we studied several aspects that affect the quality of VoIP using WiFi network. It's clear that the background data traffic within an AP, the end-to-end delay and the traffic loss of TCP/IP network gives serious effects on the voice quality. A kind of access control for the VoIP connection within an AP should be done for the acceptable voice quality.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06d
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• pp.280-282
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• 2012

Wi-Fi P2P는 Wi-Fi Alliance에 의해 제정된 표준 규격으로 근접 거리에 위치한 장치들간의 효율적이고 빠른 데이터 송수신을 위해 IEEE 802.11n을 이용하고 있다. 근접거리 통신을 위한 기존 블루투스 등의 규격이 갖는 단점을 보완했다는 점에 있어 높은 평가를 받고 있으며, 모바일 디바이스용 플랫폼인 Android ICS 버전부터 공식적으로 지원됨에 따라 널리 사용될 것으로 전망된다. 한편, 한국전자통신연구원(ETRI)에서는 오랫동안 PAN 수준의 네트워킹을 연구해왔으며 그 일환으로 PAN 및 M2M에 적합한 통신 수단으로 여겨지는 Wi-Fi P2P에 대한 연구도 진행 중에 있다. 이에 본 논문에서는 ETRI가 과제를 수행하면서 부수적으로 연구한 Wi-Fi P2P를 위한 Linux용 플랫폼 구조를 공유하고자 한다. 특히 Linux Wireless 프로젝트인 hostap에 속한 wpa_supplicant를 이용해 실제로 동작하는 Wi-Fi P2P 커넥션 매니저를 설계하고 구현하는 방법을 설명함으로써 Android 플랫폼이 아닌 일반적인 Linux 장치에서 Wi-Fi P2P를 사용할 수 있는 방법에 대해 논한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.407-409
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• 2011

최근 Smart Phone에서 WiFi Zone의 활용도가 증가되고 있다. WiFi Zone의 무선 인터넷은 무선이 가지고 있는 취약점을 그대로 가지고 있기 때문에 보안에 대한 취약점이 존재하고 침해사고에 대비한 연구가 필요하다. 본 논문에서는 WiFi Zone에서 암호가 설정된 무선 AP의 패킷을 수집하여 분석하고, 해당 무선 AP의 access 암호를 알아낸다. 암호분석과 WiFi Zone의 취약점을 분석하여 War Driving 기술을 사용하여 무선 인터넷의 취약점을 분석하고, 무선 AP에 대한 공격과 ARP Spoofing 공격을 하여 해당 무선 AP를 마비시키거나 위장 무선 AP를 설정하여 정보를 취득 하였다. 본 논문 연구를 통하여 Smart Phone과 무선 네트워크 보안성을 강화하는 연구 자료로 사용할 것이다.

• Journal of Digital Contents Society
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• v.14 no.3
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• pp.349-356
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• 2013

Products of Wi-Fi devices in recent years offer higher throughput and have longer signal coverage which also bring unnecessary signal interference to neighboring wireless networks, and result in decrease of network throughput. Signal interference is an inevitable problem because of the broadcast nature of wireless transmissions. However it could be optimized by reducing signal coverage of wireless devices. On the other hand, smaller signal coverage also means lower transmission power and lower data throughput. Therefore, in this paper, we analyze the relationship among signal strength, coverage and interference of Wi-Fi networks, and as a tradeoff between transmission power and data throughput, we propose a range-aware Wi-Fi network scheme which controls transmission power according to positions and RSSI(Received Signal Strength Indication) of Wi-Fi devices and analyze the efficiency of the proposed scheme by simulation.

• Journal of Aerospace System Engineering
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• v.13 no.2
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• pp.10-18
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• 2019

In this paper, we present the results of a developed LTE/Wi-Fi-based video transmission system which can be applied in small unmanned aerial vehicles of 25kg or less. The developed video transmission system comprised of airborne datalink terminal, ground datalink terminal, and used LTE and Wi-Fi wireless data communication technologies to transmit videos of resolution higher than HD (720p/30fps, 1080p/30fps) taken by small UAV. The airborne device is designed to efficiently transmit real-time streaming video through the incorporation of H.264 video processing board. Ground tests and evaluation indicated the possibility of the developed system to transmit real-time videos from close distance in regards to non-line-of-sight area.

• The Journal of the Korea Contents Association
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• v.11 no.1
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• pp.34-41
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• 2011

At present wireless internet access service is available through the 3G network, mobile WiMAX and WiFi anytime and anywhere. In this environment where there are various networks, users should be able to select specific networks depending on different situations. And it is necessary to provide mobility support between homogeneous and between heterogenous networks. Given this situation, the many proposals have been presented to link 3G, which has the largest service area among various networks, with mobile WiMAX(IEEE 802.16e), or with WiFi(IEEE 802.11). But, recently, with the increasing volume of wireless internet use and wireless internet data, due to the advents of net-book, e-book and smart phone, the service area of WiFi and mobile WiMAX has rapidly expanded. Especially, the availability of real-time application such as internet phone has led to the relative shrinking of the proportion of 3G mobile communication network giving conventional voice service, and enlargement of those of wireless internet access networks like WiFi and mobile WiMAX. This paper suggests a handover scheme based on PMIPv6, whitch support mobility between WiFi and mobile WiMAX, and minimizes handover delay. In this scheme, the mobile node has a dual stack structure composed of two interfaces-WiFi and mobile WiMAX. Since WiFi dose not support mobility, it is suggested that the mobile node have the capacity to deal with handover signaling between gateway in case of handover between homogeneous networks. This handover scheme, suggested comparing with current handovers between homogeneous networks, has proved, in its analytic evaluation, to be able to reduce handover, transmission, and signaling overhead.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.458-459
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• 2021

Recently, researches using deep learning technology based on Wi-Fi fingerprints have been conducted for accurate services in indoor location-based services. Among the deep learning models, an RNN model that can store information from the past can store continuous movements in indoor positioning, thereby reducing positioning errors. At this time, continuous sequential data is required as training data. However, since Wi-Fi fingerprint data is generally managed only with signals for a specific location, it is inappropriate to use it as training data for an RNN model. This paper proposes a path generation method through prediction of a moving path based on Wi-Fi fingerprint data extended to region data through clustering to generate sequential input data of the RNN model.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.456-457
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• 2021

Recently, in order to more accurately provide indoor location-based services, technologies using Wi-Fi fingerprints and deep learning are being studied. Among the deep learning models, an RNN model that can store information from the past can store continuous movements in indoor positioning, thereby reducing positioning errors. When using an RNN model for indoor positioning, the collected training data must be continuous sequential data. However, the Wi-Fi fingerprint data collected to determine specific location information cannot be used as training data for an RNN model because only RSSI for a specific location is recorded. This paper proposes a region clustering technique for sequential input data generation of RNN models based on Wi-Fi fingerprint data.

• Journal of Communications and Networks
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• v.18 no.3
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• pp.476-483
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• 2016

Super Wi-Fi is a Wi-Fi-like service exploiting TV white space (WS) which is expected to achieve larger coverage than today's Wi-Fi thanks to its superior propagation characteristics. Super Wi-Fi has been materialized as an international standard, IEEE 802.11af, targeting indoor and outdoor applications, and is undergoing worldwide field tests. This paper demonstrates the true potential of indoor Super Wi-Fi, by experimentally comparing the signal propagation characteristics of Super Wi-Fi and Wi-Fi in the same indoor environment. Specifically, we measured the wall and floor attenuation factors and the path-loss distribution at 770MHz, 2.401 GHz, and 5.540 GHz, and predicted the downlink capacity of Wi-Fi and Super Wi-Fi. The experimental results have revealed that TVWS signals can penetrate up to two floors above and below, whereas Wi-Fi signals experience significant path loss even through a single floor. It has been also shown that Super Wi-Fi mitigates shaded regions of Wi-Fi by providing almost-homogeneous data rates within its coverage, performs comparable to Wi-Fi utilizing less bandwidth, and always achieves better spectral efficiency than Wi-Fi. The observed phenomena imply that Super Wi-Fi is suitable for indoor applications and has the potential of extending horizontal and vertical coverage of today's Wi-Fi.