• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2015년도 춘계학술발표대회
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• pp.212-213
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• 2015

Data aggregation is a fundamental problem in wireless sensor networks that has attracted great attention in recent years. On constructing a robust algorithm for minimizing data aggregation delay in wireless sensor networks, we consider limited transmission range sensors and approximate the minimum-delay data aggregation tree which can only be built in networks of unlimited transmission range sensors. The paper proposes an adaptive method that can be applied to maintain the network structure in case of a sensor node fails. The data aggregation tree built by the proposed scheme is therefore self-healing and robust. Intensive simulations are carried out and the results show that the scheme could adapt well to network topology changes compared with other approaches.

• Smart Structures and Systems
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• 제18권5호
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• pp.885-909
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• 2016

Advances in low-cost wireless sensing have made instrumentation of large civil infrastructure systems with dense arrays of wireless sensors possible. A critical issue with regard to effective use of the information harvested from these sensors is synchronized sensing. Although a number of synchronization methods have been developed, most provide only clock synchronization. Synchronized sensing requires not only clock synchronization among wireless nodes, but also synchronization of the data. Existing synchronization protocols are generally limited to networks of modest size in which all sensor nodes are within a limited distance from a central base station. The scale of civil infrastructure is often too large to be covered by a single wireless sensor network. Multiple independent networks have been installed, and post-facto synchronization schemes have been developed and applied with some success. In this paper, we present a new approach to achieving synchronized sensing among multiple networks using the Pulse-Per-Second signals from low-cost GPS receivers. The method is implemented and verified on the Imote2 sensor platform using TinyOS to achieve $50{\mu}s$ synchronization accuracy of the measured data for multiple networks. These results demonstrate that the proposed approach is highly-scalable, realizing precise synchronized sensing that is necessary for effective structural health monitoring.

• 센서학회지
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• 제19권3호
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• pp.184-190
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• 2010

In this paper, a remote submersion warning system based on multi-mode optical fiber(MMF) sensors and a wireless sensor network(WSN) are proposed. To improve the reliability and stability of the sensors, the dual optical fiber sensors combined to the optical coupler are demonstrated. A slave zigbee as a wireless sensor module was used as a platform to monitor and record the signal from the MMF sensors and then transmits these information to a master zigbee wirelessly. The monitoring system running the $LabVIEW^{(R)}$ software was connected to the internet to support the short message service(SMS) through extensible markup language(XML) web service. No matter where the managers are, they can always receive the real-time remote-monitoring data for safety check.

• 정보과학회 논문지
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• 제42권3호
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• pp.399-407
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• 2015

무선 센서네트워크는 다양한 응용 프로그램들을 위하여 주변 환경으로부터 데이터수집 또는 처리를 위하여 사용된다. 무선 센서네트워크는 저 수준 계산 능력, 제한적인 배터리 용량, 낮은 네트워크 대역폭을 기반으로 운영되므로, 무선센서 네트워크의 구조 모델은 응용 프로그램의 성능에 큰 영향을 미친다. 응용 프로그램이 높은 계산 복잡도를 요구하거나, 실시간 처리를 필요로 하는 경우, 무선센서 네트워크의 중앙 집중 형 구조는 데이터 처리에 있어서 지연을 발생하게 되므로, 응용 프로그램의 성능 요구사항을 만족시키지 못하는 결과를 가져온다. 반면에, 응용 프로그램이 단순한 데이터 수집을 장기간 수행하는 경우, 분산 형으로 무선센서 네트워크를 구성한다면, 무선 센서들에서 불필요한 에너지 소모를 피할 수 없게 된다. 이 논문에서는 중앙집중 형 구조와 분산 형 구조에서 에너지 소모와 데이터 처리 지연을 분석, 평가한다. 또한, 본 논문에서는 무선 센서 네트워크를 위한 새로운 융합 형 구조를 제안하고 평가한다 제안된 방식은 응용 프로그램의 특성에 따라서 무선센서 네트워크에서 최적의 무선센서 노드 개수를 찾을 수 있게 한다.

• 정보통신설비학회논문지
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• 제8권3호
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• pp.116-121
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• 2009

A novel method for improving the reliability of sensing data using multi-sensors in wireless sensor network systems is presented in this paper. This method is successfully applied a fog monitoring system in the mountain area.

• 한국정보통신학회논문지
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• 제18권11호
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• pp.2640-2644
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• 2014

최근의 기술발전과 함께 무선 센서 네트워크 (Wireless Sensor Network, WSN)는 수많은 작고 저렴한 센서 노드로 구성된 센서네트워크이다. 무선 센서 네트워크는 공동으로 배치된 지역 내에서 정보감지, 수집, 처리 및 전송임무를 수행한다. 또한, 지능형교통, 의료구조, 환경감시, 정밀농업 및 공업 자동화 등 다양한 방면에 응용할 수 있다. 그래서 센서 네트워크 환경에서 데이터 유지관리 기술은 센서 네트워크의 핵심 기술 중 하나이다. 본 논문은 현재 무선 센서 네트워크 데이터 관리를 위한 기술을 분석하고 이들의 문제점에 대해 살펴보았다. 향후 본 연구를 통해 센서 네트워크의 체계적인 개발 접근을 시도해볼 수 있을 것이다.

• International Journal of Contents
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• 제3권4호
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• pp.1-7
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• 2007

There has been increased interest in wireless sensors in the last few years. This paper provides insight into the properties that make these sensors so attractive, specifically considering their efficiency, data reliability, and the ability to verify the data generated. Some advantages a wireless network presents over traditional information sensing are discussed as well. The paper considers how the environmental field can benefit from using these networks. Some of the possible challenges this industry will face in adopting this new method of data sampling and collection are also considered. A project we conducted raised concern over measures needed for the integrity of the communication system to be maintained, thus ensuring the integrity of the data being collected. From results of an experimental project conducted in York University, the reliability and usefulness of a sensor network is discussed.

• 한국멀티미디어학회논문지
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• 제13권11호
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• pp.1657-1666
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• 2010

수중 센서 네트워크(UWSN: Underwater Wireless Sensor Networks)는 수중 센서 노드들의 에너지 자원의 제약이 심하고, 제한된 통신 대역폭과 다양한 전파지연 등의 환경적인 특성 때문에 효율적이고 안정적인 데이터전송 방법이 요구된다. 본 논문에서는 수중 센서 네트워크의 센서 노드들이 해양 바닥에 고정된 2차원 구조(2D: two-dimensional underwater wireless sensor network model)에서 이상적인 셀 크기의 육각 모자이크 구조를 이용한 향상된 하이브리드 전송 방법을 설명하고, 또한 센서 노드를 해양 바닥의 닻에 매달아 움직임이 가능한 3차원 구조(3D: three-dimensional underwater wireless sensor network model)에서 효과적인 데이터전송을 위한 에너지 효율적인 인식 및 통신범위를 확장하는 방법을 제안한다. 2D 및 3D 구조에서 제안된 방법들은 시뮬레이션 결과에 의해 기존의 전송 방법보다 높은 에너지 효율성을 가지는 것이 확인되었다.

• 전기전자학회논문지
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• 제11권4호
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• pp.322-330
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• 2007

Recent advances in wireless networks and low-cost, low-power design have led to active research in large-scale networks of small, wireless, low power sensors and actuators, In large-scale networks, lots of timing-synchronization protocols already exist (such as NTP, GPS), In ad-hoc networks, especially wireless sensor networks, it is hard to synchronize all nodes in networks because it has no infrastructure. In addition, sensor nodes have low-power CPU (it cannot perform the complex computation), low batteries, and even they have to have active and inactive section by periods. Therefore, new approach to time synchronization is needed for wireless sensor networks, In this paper, I propose Energy-Efficient Time Synchronization (EETS) protocol providing network-wide time synchronization in wireless sensor networks, The algorithm is organized two phase, In first phase, I make a hierarchical tree with sensor nodes by broadcasting "Level Discovery" packet. In second phase, I synchronize them by exchanging time stamp packets, And I also consider send time, access time and propagation time. I have shown the performance of EETS comparing Timing-sync Protocol for Sensor Networks (TPSN) and Reference Broadcast Synchronization (RBS) about energy efficiency and time synchronization accuracy using NESLsim.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제5권2호
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• pp.247-268
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• 2011

Due to the application-specific nature of wireless sensor networks, the sensitivity to such a requirement as data reporting interval varies according to the type of application. Such considerations require an application-specific, parameter tuning paradigm allowing us to maximize energy conservation prolonging the operational network lifetime. In this paper, we propose a reporting interval adaptive, sensor control platform for energy-saving data gathering in wireless sensor networks. The ultimate goal is to extend the network lifetime by providing sensors with high adaptability to application-dependent or time-varying, reporting interval requirements. The proposed sensor control platform is based upon a two phase clustering (TPC) scheme which constructs two types of links within each cluster - namely, direct link and relay link. The direct links are used for control and time-critical, sensed data forwarding while the relay links are used only for multi-hop data reporting. Sensors opportunistically use the energy-saving relay link depending on the user reporting, interval constraint. We present factors that should be considered in deciding the total number of relay links and how sensors are scheduled for sensed data forwarding within a cluster for a given reporting interval and link quality. Simulation and implementation studies demonstrate that the proposed sensor control platform can help individual sensors save a significant amount of energy in reporting data, particularly in dense sensor networks. Such saving can be realized by the adaptability of the sensor to the reporting interval requirements.