• Journal of information and communication convergence engineering
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• v.9 no.6
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• pp.676-682
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• 2011

Sybil attack can disrupt proper operations of wireless sensor network by forging its sensor node to multiple identities. To protect the sensor network from such an attack, a number of countermeasure methods based on RSSI (Received Signal Strength Indicator) and LQI (Link Quality Indicator) have been proposed. However, previous works on the Sybil attack detection do not consider the fact that Sybil nodes can change their RSSI and LQI strength for their malicious purposes. In this paper, we present a Sybil attack detection method based on a transmission power range. Our proposed method initially measures range of RSSI and LQI from sensor nodes, and then set the minimum, maximum and average RSSI and LQI strength value. After initialization, monitoring nodes request that each sensor node transmits data with different transmission power strengths. If the value measured by monitoring node is out of the range in transmission power strengths, the node is considered as a malicious node.

• Journal of information and communication convergence engineering
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• v.16 no.1
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• pp.6-11
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• 2018

It is important to find the random estimation points in wireless sensor network. A link quality indicator (LQI) is part of a network management service that is suitable for a ZigBee network and can be used for localization. The current quality of the received signal is referred as LQI. It is a technique to demodulate the received signal by accumulating the magnitude of the error between ideal constellations and the received signal. This proposed model accepts any number of random estimation point in the network and calculated its nearest anchor centroid node pair. Coordinates of the LQI sphere are calculated from the pair and are added iteratively to the initially estimated point. With the help of the LQI and weighted centroid localization, the proposed system finds the position of target node more accurately than the existing system by solving the problems related to higher error in terms of the distance and the deployment of nodes.

• 한국정보통신설비학회:학술대회논문집
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• 2009.08a
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• pp.3-6
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• 2009

IEEE 802.15.4 기반의 무선 PAN(WPAN: Wireless Personal Area Network)환경에서 기존에 제안된 전송 전력 제어(TPC: Transmission Power Control) 알고리즘은 수신 신호의 세기를 기반으로 반복 전송을 통하여 적합한 최소 전송 전력을 결정하는 방법으로 진행되어 왔다. 이러한 방법은 통신 채널의 변화가 잦은 지역에서는 재전송률이 높아지고 전송 품질이 떨어지는 단점을 가지고 있다. 따라서 본 논문에서는 IEEE 80215.4에서 제공하는 링크 품질 지표(LQI: Link quality indicator)값을 바탕으로 최소 전송 전력을 결정하여 재전송률을 줄이고, 통신 채널 변화에 보다 능동적으로 대응할 수 있는 새로운 전송 진력 제어 방법을 제안하고자 한다.

• Proceedings of the Korean Information Science Society Conference
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• 2006.10d
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• pp.595-599
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• 2006

센서 네트워크는 주로 물리적인 공간의 모니터링이나 위치 추적과 같은 주변의 정보를 얻고자 하는 환경에 사용되며, 이러한 정보는 비대칭적이고 비신뢰적인 무선 링크로 인해 불필요한 재전송을 요구하고 많은 손실이 발생한다. 이 때문에 신뢰적이고 에너지 효율적인 링크를 선택하기 위해 RSSI(Received Signal Strength Indicator), LQI(Link Quality Indicator)를 이용하여 무선 링크에 대한 품질을 추정하는 기법이 필요하다. 본 논문에서는 그 일차적인 단계로써 단일 홉 무선 센서 네트워크에서 MICAZ에 구현된 RSSI, LQI 값을 이용하여 노드간 무선 링크 품질을 모니터링하는 응용을 구현하였다. 구현 시나리오는 무선 링크의 비대칭성을 고려하기 위해, 순방향 링크 품질의 경우 센서 플랫폼이 BS로부터 수신한 요구 메시지의 RSSI, LQI 값을 응답 메시지에 캡슐화하여 BS로 전송하도록 하였고, 역방향 링크 품질의 경우 BS가 센서 플랫폼으로부터 수신한 응답 메시지의 RSSI, LQI 값을 기반으로 하였다. 또한 BS로 취합된 이러한 두 링크 품질을 PC상에 시각적으로 표시하기 위해 자바 기반의 링크 품질을 모니터링하는 응용을 구현하였다. 간단한 실험을 통해 RSSI, LQI로 얻은 무선 링크의 품질과 특성을 확인하였다.

• Journal of Advanced Marine Engineering and Technology
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• v.39 no.2
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• pp.179-186
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• 2015

In the indoor location estimation system, which has recently been actively studied, the received signal strength indicator contains a high level of noise when measuring the signal strength in the range between two nodes consisting of a receiver and a transceiver. To minimize the noise level, this paper proposes an improved adaptive smoothing filter that provides different exponential weights to the current value and previous averaged one of the data that were obtained from the nodes, because the characteristic signal attenuation of the received signal strength indicator generally has a log distribution. The proposed method can effectively decrease the noise level by using a feedback filter that can provide different weights according to the noise level of the obtained data and thus increase the accuracy in the distance and location without an additional filter such as the link quality indicator, which can verify the communication quality state to decrease the range errors in the indoor location recognition using ZigBee based on IEEE 802.15.4. For verifying the performance of the proposed improved adaptive smoothing filter, actual experiments are conducted in three indoor locations of different spatial sections. From the experimental results, it is verified that the proposed technique is superior to other techniques in range measurement.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.11
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• pp.3218-3226
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• 2009

A number of on-demand routing protocols for sensor networks have been proposed yet. However, the majority of proposed on-demand routing protocols for sensor networks are not suitable for a relatively poor wireless environment and sensor applications requiring reliable data transmission due to using a hop-count metric for their protocols. In this paper, we proposed a minimum LQI(Link Quality Indicator) based on-demand sensor network routing protocol that is suitable for a relatively poor wireless environment and implemented the proposed routing protocol on a TinyOS. We also compared the implemented protocol with typical hop count based routing protocol by carrying out performance experiments on a multi-hop testbed. The results from these experiments showed that the successful transmission rate of the proposed routing protocol is higher than that of typical hop count based routing protocol over a poor wireless link.

• Journal of Advanced Navigation Technology
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• v.16 no.2
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• pp.271-277
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• 2012

In this paper, we propose a dynamic tree formation protocol for multiple UAV which is gathering data or accomplishing a mission such as disaster monitoring, environment monitoring, and disaster relief. Especilly, we designed Hop-LQI Weight algorithm to form optimal tree in wireless dynamic environment applying situation of radio signal attenuation over distance and implemented our algorithm in MSP 430 K-mote sensor platform using TinyOS codes. We verified performance of our algorithm by comparing average link setup time by the number of nodes with minimum LQI, link cost calculation method in wireless communication.

• 한국정보통신설비학회:학술대회논문집
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• 2009.08a
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• pp.162-164
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• 2009

IEEE 802.15.4에서 채널 간 충돌을 회피하기 위해 제안된 CSMA/CA 알고리듬은 수신되는 신호의 상관관계를 나타내는 지표인 LQI (Link Quality Indicator) 값과 수신되는 신호의 크기를 나타내는 지표인 RSSI (Received Signal Strength Indicator) 값을 이용한다. 지그비 모듈에서 측정되는 LQI 값은 수신되는 신호의 크기에 따라 변화하는데, 그 상관관계가 매우 부정확한 문제가 있어 왔다. 본 논문에서는 CC2430과 CC2591을 이용해 제작된 지그비 모듈을 기반으로 수신 신호의 크기와 LQI 값을 실험적으로 측정하여 RSSI 값에 따른 LQI 값의 상관관계를 분석하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.6
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• pp.1848-1868
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• 2014

Multiple-in multiple-out (MIMO) in long-term evolution (LTE) is an essential factor in achieving high speed data rates and spectral efficiency. The unexpected growth in data rate demand has pushed researchers to extend the benefits of multi-user MIMO. The multi-user MIMO system can take full advantage of channel conditions by employing efficient adjustment techniques for scheduling, and by assigning different modulation and coding rates. However, one of the critical issues affecting this feature is the appropriate estimation of channel quality indicator (CQI) to manage the allocated resources to users. Therefore, an accurate CQI estimation scheme is required for the multi-user MIMO transmission to obtain significant improvements on spectral efficiency. This paper presents overviews of multi-user MIMO in LTE/LTE-advanced systems. The link adaptation, scheduling process, and different factors that affect the reliability of CQI measurements are discussed. State-of-the-art schemes for the post-processing CQI estimation, and the comparisons of various CQI estimation schemes to support multi-user MIMO are also addressed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.7
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• pp.1609-1617
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• 2013

TFRC(TCP-Friendly Rate Control) has a performance degradation in wireless networks because it performs congestion control by judging all the losses occurred in wireless networks as a congestion indicator. It is also degraded by the increased Round Trip Time(RTT) due to packet retransmission and contention overhead in the link layer. In this paper, we propose an adaptive rate control scheme based on cross-layer to improve the quality of streaming services in the wireless networks. It provides new RTT estimation and loss discrimination methods to improve transmission rate of TFRC. The simulation results show that the proposed scheme can improve the performance of TFRC.