• KIISE Transactions on Computing Practices
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• v.24 no.1
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• pp.1-9
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• 2018

Low-power long-range networks (LoRa) has a comprehensive coverage of up to 30 km, so that long-range positioning is possible. However, the position error in the current LoRa environment is over 500 m. This makes it difficult to use practical location services in the LoRa environment. In this paper, we propose a method to improve the position accuracy by correcting an inaccurate visual error when sending a signal from a mobile node to a gateway through the reference node of each zone in the LoRa environment. Experiments were carried out using MATLAB, and a radio propagation algorithm, the Hata model, was used to cancel out the stationary noise and to evaluate the environmental noise. Experimental results showed that the error range decreased as the number of reference nodes increased and a mobile node approach the reference node.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.06a
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• pp.364-367
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• 2007

We combined CC2431(Chipcon, Norway), as the platform for the Indoor Location Tracking, which follows Zigbee/IEEE802.15.4 standards in RSSI (Received Signal Strength Indicator) and Base Station Node and then, embodied Indoor Location Tracking System. CC2431 is composed of the Reference Node that transfer its current position at the designated place and the Blind Node. The Blind node receives the current position(X and Y coordinates) of the Reference Node fields which are being contiguous and also, calculates its current position and transfers it to the Base Station Node. The base station node is used for receiving the current position of blind node and passing its data to the PC as a gateway. We can make sure where is the Blind Node not only from the out-of-the-way place of the server side but from the outside in a real-time.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.1384-1387
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• 2010

최근 무선인터넷의 기술을 이용한 스마트폰의 활용도가 높아짐에 따라 새로운 서비스의 연구분야로 단말기를 이용하여 이동객체의 위치정보를 제공받는 위치 기반 서비스 기술에 관심이 높아지고 있다. 하지만 현재 기술은 GPS를 이용한 위치추적으로 외부의 이동객체를 추적하는 기술로 많이 활용되고 있다. 그리고 고정된 레퍼런스 노드 또는 마스터 노드에 의존하고 있는 문제점과 위치 계산을 위한 기준이 대부분 홉스나 RF신호의 수신강도에 의한 거리차를 이용하는데 전파 특성에 따른 회절 및 반사, 다중 경로 등에 의한 신호감쇠현상으로 정확도를 보장하지 못하는 문제점이 있다. 따라서 본 논문에서는 GPS와 WiFi를 이용하여 고정된 레퍼런스 노드에 의존하지 않고 이동식 GPS-AP를 이용하여 건물내부에 위치하는 특정 단말기의 위치정보를 제공할 수 있는 시스템을 제안한다.

• Journal of the Korea Society of Computer and Information
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• v.12 no.4
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• pp.269-277
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• 2007

Wireless sensor network system is expected to get high attention in research for now and future owing to the advanced hardware development technology and its various applicabilities. Among variety of sensor network systems, the seashore and marine sensor network, which are extended to get sampling of marine resources, environmental monitoring to prevent disaster and to be applied to the area of sea route guidance. For these marine applications to be available, however, the provision of precise location information of every sensor nodes is essential. In this paper, the sequential localization algorithm for obtaining the location information of marine sensor nodes. The sequential localization is done with the utilization of a small number of beacon nodes along the seashore and gets the location of nodes by controling the sequences of localization and also minimizes the error accumulation. The key idea of this algorithm for localization is that the localization priority of each sensor nodes is determined by the number of reference nodes' information. This sequential algorithm shows the improved error performance and also provide the increased coverage of marine sensor network by enabling the maximum localization of sensor nodes as possible.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.47 no.5
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• pp.40-52
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• 2010

A mobile ad hoc network is instant and heuristic, and it is also vulnerable and volatile. Since topology and route changes are frequent, no single routing protocol designed for a conventional network performs well. Some protocols suffer from significant performance degradation when the number of nodes increases, or when nodes become highly mobile. In this paper we investigate a way to adaptively select a routing protocol that fits to the real-time network conditions. The first phase of our study is to analyze the performances of two classes of routing protocols under various network scenarios. The second phase consists of constructing a routing protocol selection reference. All nodes continue to monitor the status of neighbor nodes and control packets exchanged. Then, the aggregated information is periodically compared against the protocol selection reference. The selected routing protocol is maintained throughout the network until the network property changes substantially. The performance of the proposed algorithm is verified by a set of computer simulations using the OPNET modeler. The experimental results show that selectively changing routing protocol adaptive to the network conditions greatly improves the efficacy of bandwidth utilization.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.1264-1267
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• 2011

시퀀싱 기술의 발달로 최근에는 비교적 저렴한 비용으로 개인의 유전체 시퀀싱 데이터를 산출할 수 있게 되었다. 하지만 이를 기반으로 하는 기존의 분석 방법은 매우 고가의 컴퓨팅 환경을 요구하기 때문에 분석을 위한 비용이 매우 높은 문제가 있다. 본 논문에서 클라우드 컴퓨팅 환경의 병렬 CNV 검출알고리즘을 제안한다. 제안하는 방법은 모양 기반의 CNV 검출 알고리즘인 CNV_shape을 MapReduce 기법으로 개발한 것으로 시퀀싱 데이터를 레퍼런스 서열에 매핑한 결과로부터 리드 커버리지 (read coverage)를 계산하여 커버리지가 감소하거나 증가하는 일정 길이 이상의 영역을 검출하는 방법이다. 클라우드 컴퓨팅 환경에 적용하고 노드의 밸런싱 유지를 위한 방법으로 파티셔닝 기법을 사용하였다. 또한 실 데이터를 이용한 실험을 통해 제안하는 방법의 효율적 데이터 처리를 보인다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.10a
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• pp.473-476
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• 2007

Location determination of mobile user via RSSI approach has received ample attention from researchers lately. However, it remains a challenging issue due to the complexities of RSSI signal propagation characteristics, which are easily exacerbated by the mobility of user. Hence, a segmentation-based linear spline interpolation method is proposed to cater for the dynamic fluctuation pattern of radio signal in complex environment. This optimization algorithm is proposed in addition to the current radiolocation's (CC2431, Chipcon, Norway) algorithm, which runs on IEEE802.15.4 standard. The enhancement algorithm involves four phases. First phase consists of calibration model in which RSSI values at different static locations are collected and processed to obtain the mean and standard deviation value for the predefined distance. RSSI smoothing algorithm is proposed to minimize the dynamic fluctuation of radio signal received from each reference node when the user is moving. Distances are computed using the segmentation formula obtain in the first phase. In situation where RSSI value falls in more than one segment, the ambiguity of distance is solved by probability approach. The distance probability distribution function(pdf) for each distances are computed and distance with the highest pdf at a particular RSSI is the estimated distance. Finally, with the distances obtained from each reference node, an iterative trilateration algorithm is used for position estimation. Experiment results obtained position the proposed algorithm as a viable alternative for location tracking.