• 대한기계학회논문집A
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• 제38권2호
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• pp.149-156
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• 2014

최근 들어, 다층 건물 내 층간 위치 측위(Floor Determination)는 다양한 위치 기반 응용 서비스를 만족하기 위해 빠르게 해결해야 되는 문제가 되었다. 본 논문에서는 다층 건물 환경에서 Wi-Fi 신호를 기반으로 한 저복잡도 층간 위치 측위 기법을 제안한다. 제안 기법에서는 WAP(Wireless Access Point)에 대한 자세한 좌표 정보가 필요 없이, 사용자 단말기에 나온 각 WAP의 층수와 각 WAP의 수신 신호 세기(Received Signal Strength) 값만을 이용한다. 제안 기법의 성능을 검증하기 위해 본 논문에서는 Multi-Wall-Floor 모델을 사용하였으며, 모의실험 결과를 통해 각층의 WAP 배치 밀도가 충분히 높을 경우 제안 기법의 정확도가 100%에 도달함을 보였다. 그리고 각층의 WAP 수가 적은 경우에서도 우수한 층간 위치 측위 성능을 보였으며, 특히 심지어 WAP 가 하나도 없는 층이 있어도 층간 위치 측위가 가능한 것을 보임으로써 제안된 기법의 우수성을 확인하였다.

• Journal of information and communication convergence engineering
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• 제12권4호
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• pp.221-227
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• 2014

In this paper, we analyze the effect of the coherence bandwidth of wireless channels on leakage suppression methods for discrete Fourier transform (DFT)-based channel estimation in orthogonal frequency division multiplexing (OFDM) systems. Virtual carriers in an OFDM symbol cause orthogonality loss in DFT-based channel estimation, which is referred to as the leakage problem. In order to solve the leakage problem, optimal and suboptimal methods have already been proposed. However, according to our analysis, the performance of these methods highly depends on the coherence bandwidth of wireless channels. If some of the estimated channel frequency responses are placed outside the coherence bandwidth, a channel estimation error occurs and the entire performance worsens in spite of a high signal-to-noise ratio.

• Journal of information and communication convergence engineering
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• 제22권3호
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• pp.207-214
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• 2024

In wireless sensor networks, the implementation of routing protocols is crucial owing to their limited computational capacities. Tree routing is a suitable method in wireless sensors owing to its minimal routing overhead. However, single-hop metric schemes, such as hop count, cause congestion at specific nodes, whereas multiple metric schemes cannot control dynamically changing network environments. To address these issues, we propose a scheme to implement enhanced tree routing with adaptive metrics based on hop count. This approach assigns different weights to metrics to select suitable parent nodes based on hop count. The parent-selection algorithm utilizes hop count, buffer occupancy, and received signal strength indicator (RSSI) as metrics. This study evaluates the performance through simulation scenarios to analyze whether improvements can be made to address problems encountered in traditional tree routing. The performance metrics include packet delivery speed, throughput, and end-to-end delay, which vary depending on the volume of network traffic.

• 한국통신학회논문지
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• 제31권7B호
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• pp.652-659
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• 2006

애드 혹 네트워크에서 라우팅 알고리즘은 매우 중요한 연구 분야중의 하나이다. 기존의 라우팅 알고리즘은 현재의 네트워크 토폴로지 상황만을 고려하여 라우팅 경로를 설정하기 때문에 안정적인 라우팅 경로를 설정하는데 많은 어려움이 있다. 이와 같은 문제점을 해결하기 위해 수신 신호 세기를 이용하여 라우팅을 수행하는 알고리즘들이 제안되었지만, 이들은 평균 수신 신호 세기만을 고려하였기 때문에 라우팅 프로토콜의 성능 향상에는 한계가 있다. 따라서 본 논문에서는 평균 수신 신호 세기와 수신 신호 세기의 변화를 고려한 링크 안정성 기반의 라우팅 알고리즘을 제안하였다. 제안된 알고리즘의 성능을 분석하기 위해 다양한 환경에서의 모의실험을 수행하였으며, 그 결과 기존의 알고리즘보다 우수한 성능을 보임을 확인하였다.

• Journal of Positioning, Navigation, and Timing
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• 제10권3호
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• pp.207-214
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• 2021

A new positioning technique for positioning of LTE base stations is proposed. The positioning information of the base station is absolutely necessary for model-based wireless positioning, and is required in some of the various merhodologies for estimating signals in an uncorrected area when construnting a database for fingerprinting-based positioning. Using the acquired location-based Reference Signal Received Power (RSRP) information to estimate the location of the base station, it is impossible with the existing trilateration methods. Therefore, in this paper, a method using reference particles is proposed. Particles are randomly generated in the application area, and signal propagation modeling is performed assuming that a base station is located in each particle. Based on this, the errors of measurements are calculated. The particle group with the minimum measurement errors is selected, the position of the base station is estimated through weighted summation, and the signal propagation model of the corresponding base station is built at the same time. The performance of the proposed technology is verified using data acquired in Seocho-dong, Seoul.

• Journal of Positioning, Navigation, and Timing
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• 제12권1호
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• pp.43-49
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• 2023

In modern wireless communication systems including beamformers or location-based services (LBS), which employ multiple antenna elements, estimating the number of signals is essential for accurately determining the quality of the communication service. Representative signal number estimation algorithms including the Akaike information criterion (AIC) and minimum description length (MDL) algorithms, which are information theoretical criterion models, determine the number of signals based on a reference value that minimizes each criterion. In general, increasing the number of elements mounted onto the array antenna enhances the performance of estimating the number of signals; however, it increases the computational complexity of the estimation algorithm. In addition, various configurations of array antennas for the increased number of antenna elements should be considered to efficiently utilize them in a limited location. In this paper, we introduce an efficient signal number estimation algorithm based on the beamspace based AIC and MDL techniques that reduce the computational complexity by reducing the dimension of a uniform circular array antenna. Since this algorithm is based on a uniform circular array antenna, it presents the advantages of a circular array antenna. The performance of the proposed signal number estimation algorithm is evaluated through computer simulation examples.

• Industrial Engineering and Management Systems
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• 제16권1호
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• pp.92-102
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• 2017

In this paper, we consider a typical health care system via the help of Wireless Sensor Network (WSN) for wireless patient tracking. The wireless patient tracking module of this system performs localization out of samples of Received Signal Strength (RSS) variations and tracking through a Particle Filter (PF) for WSN assisted by multiple transmit-power information. We propose a modified PF, Kullback-Leibler Distance (KLD)-resampling PF, to ameliorate the effect of RSS variations by generating a sample set near the high-likelihood region for improving the wireless patient tracking. The key idea of this method is to approximate a discrete distribution with an upper bound error on the KLD for reducing both location error and the number of particles used. To determine this bound error, an optimal algorithm is proposed based on the maximum gap error between the proposal and Sampling Important Resampling (SIR) algorithms. By setting up these values, a number of simulations using the health care system's data sets which contains the real RSSI measurements to evaluate the location error in term of various power levels and density nodes for all methods. Finally, we point out the effect of different power levels vs. different density nodes for the wireless patient tracking.

• Journal of Advanced Marine Engineering and Technology
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• 제32권6호
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• pp.989-996
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• 2008

Recently, a few types of fish-cage in open sea are researched. This fish-cage has to operate monitoring system for keeping an optimum living condition for fish. The most efficient monitoring system is WVMS(Wireless Vision Monitoring System) for fish-cage in open sea. WVMS should be able to transmit video signal and communicate with each controller. So. it needs to be based on WLAN(Wireless LAN) which has characteristic of higher transfer-rate, In this paper, we propose a structure of WVMS using WLAN equipments for maritime environment and prove its effectiveness. We present the propagation loss model of WVMS's communication channel. measured by field test, and discuss its validity compared with the predictive value based on the Friss propagation model and Plane earth reflection model. We present the number of frames that is received from WLAN modem connecting with underwater-camera in field test spots. As a result, we confirmed that proposed WVMS is suitable for maritime environment and it is possible to be applied to fish-cage in open sea on 'seogwipo'.

• 한국통신학회논문지
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• 제29권3A호
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• pp.293-302
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• 2004

무선랜은 무선으로 근거리 단말들을 연결하는 통신 기술로, 일반적인 무선랜의 구성은 하나의 AP와 하나 이상의 단말 기기가 BSS를 구성한다. 무선랜 서비스 영역에서 AP와 거리가 가까운 단말은 고속의 데이터 전송률을 보장받을 수 있지만 AP에서 거리가 멀리 떨어진 단만은 신호의 세기가 약해지므로 고속데이터 전송률의 보장을 받을 수 없는 단점을 가지고 있다. 본 논문에서는 무선 단말 중 일부를 중계 단말로 이용함으로써 그룹화를 통해 고속데이터 전송을 가능하게 하는 방법을 제안하고, 시뮬레이션을 통해 무선 단말의 그룹화를 위해 제안한 깊이우선탐색 알고리즘과 넓이우선탐색 알고리즘을 비교, 분석하였다. 그 결과 넓이우선탐색 알고리즘이 무선 단말을 위한 그룹화에 보다 효과적인 알고리즘임을 보였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권10호
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• pp.4835-4855
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• 2018

In this paper, we study the sparse signal recovery that uses information of both support and amplitude of the sparse signal. A convergent iterative algorithm for sparse signal recovery is developed using Majorization-Minimization-based Non-convex Optimization (MM-NcO). Furthermore, it is shown that, typically, the sparse signals that are recovered using the proposed iterative algorithm are not globally optimal and the performance of the iterative algorithm depends on the initial point. Therefore, a modified MM-NcO-based iterative algorithm is developed that uses prior information of both support and amplitude of the sparse signal to enhance recovery performance. Finally, the modified MM-NcO-based iterative algorithm is used to estimate the time-varying sparse wireless channels with temporal correlation. The numerical results show that the new algorithm performs better than related algorithms.