• 전자공학회논문지CI
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• 제46권3호
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• pp.123-129
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• 2009

무선 센서 네트워크에 대한 연구에서 노드에 대한 위치를 추정하는 것은 중요하다. 본 논문에서는 무선 센서 네트워크에서 인접 노드에 대한 정보와 신호의 세기를 이용해서 노드의 위치를 추정하는 기법을 제안한다. 제안한 방법을 이용하면 노드가 알고 있는 정보를 이용해서 쉽게 노드의 위치를 찾을 수 있다. 더욱이 위치를 알고 있는 앵커 노드를 기준으로 위치를 모르는 미지 노드에 대한 상대적인 위치를 찾을 수 있어서 전체적인 노드에 대한 맵을 만들 수 있다. 또한 무선 센서 네트워크에서 노드가 적절하게 배치되었는지도 확인할 수 있다. 제안한 기법에 대한 검증을 통해서 제안한 방법을 사용해서 추정된 노드의 위치가 작은 오차를 가지고 검증을 위해 배치한 노드를 찾아내고 있음을 확인하였다.

• 한국컴퓨터정보학회논문지
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• 제14권5호
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• pp.141-148
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• 2009

무선 센서 네트워크는 다양한 센서 기술의 발전으로 환경 분석이나 산업현자에서 다양하게 적용되고 있다. 또한 무선 센서 네트워크는 설치된 지역에서의 센서를 자동적으로 모니터링 한다. 특히 매우 작은 센서들은 최근환경 분석을 위해 보다 많은 전은을 요구하며 개발되고 있다. 이러한 이유로 보다 상세한 측정 방법을 위해 다양한 재료와 어플리케이션에 의해 개발되었다. 또한 센서노드들은 저가의 저전력을 요구하는 필드를 위해 적은 전원으로 동작한다. 전원 효율은 무선 센서 네트워크의 생존시간에 매우 중요한 요소이다. 때문에 센서 노드들은 복구되기 어렵고 광범위한지역에 설치된다. 본 논문에서는 저전력과 효율을 고려한 센서 노드에 적용된 무선 센서 네트워크 알고리즘을 제안하였다.

• ETRI Journal
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• 제33권6호
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• pp.924-934
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• 2011

Sensor networks play an important role in making the dream of ubiquitous computing a reality. With a variety of applications, sensor networks have the potential to influence everyone's life in the near future. However, there are a number of issues in deployment and exploitation of these networks that must be dealt with for sensor network applications to realize such potential. Localization of the sensor nodes, which is the subject of this paper, is one of the basic problems that must be solved for sensor networks to be effectively used. This paper proposes a probabilistic support vector machine (SVM)-based method to gain a fairly accurate localization of sensor nodes. As opposed to many existing methods, our method assumes almost no extra equipment on the sensor nodes. Our experiments demonstrate that the probabilistic SVM method (PSVM) provides a significant improvement over existing localization methods, particularly in sparse networks and rough environments. In addition, a post processing step for PSVM, called attractive/repulsive potential field localization, is proposed, which provides even more improvement on the accuracy of the sensor node locations.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제8권2호
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• pp.126-131
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• 2008

Wireless Sensor Network(WSNs) consists of small sensor nodes with sensing, computation, and wireless communication capabilities. It has new information collection scheme and monitoring solution for a variety of applications. Faults occurring to sensor nodes are common due to the limited resources and the harsh environment where the sensor nodes are deployed. In order to ensure the network quality of service it is necessary for the WSN to be able to detect the faulty sensors and take necessary actions for the reconstruction of the lost sensor data caused by fault as earlier as possible. In this paper, we propose an recursive PCA-based fault detection and lost data reconstruction algorithm for sensor networks. Also, the performance of proposed scheme was verified with simulation studies.

• 한국시뮬레이션학회논문지
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• 제17권1호
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• pp.9-16
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• 2008

싱크의 이동성은 센서 네트워크에서 보다 많은 라우팅 변화를 발생시킨다. 능동적인 싱크의 이동으로 필요한 정보에 대한 적극적인 수집이 가능할 것이며, 이는 네트워크의 효용성을 더욱 높일 것이다. 하지만 고정된 싱크와 달리 싱크가 이동성을 가지게 되면 센서 노드와의 통신 연결이 지속적으로 변경될 수 있다. 라우팅 변동에 의한 경로 재설정이 불가피하게 되는 것이다. 이동 싱크로의 경로 설정에는 싱크에서 노드로의 경로 설정과 노드에서 이동 싱크로의 경로 설정 두 가지가 있다. 센서 네트워크에서 노드는 많은 제약을 가지고 있다. 노드에서 싱크로의 연결 설정을 발생할 경우 경로 배정에 대한 부담을 줄이는 방안이 제시되어야 한다. 따라서 본 논문에서는 노드에서 이동 싱크로의 경로 설정을 위한 에이전트 방식을 제안한다. 에이전트 방식은 중계 노드를 통하여 경로 설정이 필요한 노드와 이동 싱크와의 신속한 연결 방안을 제공한다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.1781-1786
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• 2005

In sensor network systems, all the nodes are interconnected and the positional information of each sensor is essential. To measure the temperature, position detection and communication functions are required. Many sensor nodes are distributed to a measurement field, and these sensors have three main functions: they measure the distance to the other nodes, the data of which are used to determine the position of each node; they communicate with other nodes; and they measure the temperature of each node. A novel range measurement method using the difference between light and sound propagation speed is proposed. The experimental results show the temperature distribution as measured with the aid of the determined positions. The positions of every node were calculated with a PC program. Eight nodes were manufactured and their fundamental functions were tested. The results of the range measurement method, which takes relatively accurate measurements, contribute significantly to the accuracy of the position determination. Future studies will focus on 3-D position determination and on the architecture of appropriate sensors and actuators.

• 디지털산업정보학회논문지
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• 제4권2호
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• pp.29-37
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• 2008

Clustering allows hierarchical structures to be built on the nodes and enables more efficient use of scarce resources, such as frequency spectrum, bandwidth, and energy in wireless sensor networks (WSNs). This paper proposes a hierarchical clustering algorithm called EEHC which is more energy efficient than existing algorithms for WSNs, It introduces region node selection as well as cluster head election based on the residual battery capacity of nodes to reduce the costs of managing sensor nodes and of the communication among them. The role of cluster heads or region nodes is rotated among nodes to achieve load balancing and extend the lifetime of every individual sensor node. To do this, EEHC clusters periodically to select cluster heads that are richer in residual energy level, compared to the other nodes, according to clustering policies from administrators. To prove the performance improvement of EEHC, the ns-2 simulator was used. The results show that it can reduce the energy and bandwidth consumption for organizing and managing WSNs comparing it with existing algorithms.

• Journal of Communications and Networks
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• 제18권3호
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• pp.493-501
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• 2016

In-network storage is an effective technique for avoiding network congestion and reducing power consumption in continuous data collection in wireless sensor networks. In recent years, network coding based storage design has been proposed as a means to achieving ubiquitous access that permits any query to be satisfied by a few random (nearby) storage nodes. To maintain data consistency in continuous data collection applications, the readings of a sensor over time must be sent to the same set of storage nodes. In this paper, we present an efficient approach to updating data at storage nodes to maintain data consistency at the storage nodes without decoding out the old data and re-encoding with new data. We studied a transmission strategy that identifies a set of storage nodes for each source sensor that minimizes the transmission cost and achieves ubiquitous access by transmitting sparsely using the sparse matrix theory. We demonstrate that the problem of minimizing the cost of transmission with coding is NP-hard. We present an approximation algorithm based on regarding every storage node with memory size B as B tiny nodes that can store only one packet. We analyzed the approximation ratio of the proposed approximation solution, and compared the performance of the proposed coding approach with other coding schemes presented in the literature. The simulation results confirm that significant performance improvement can be achieved with the proposed transmission strategy.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권10호
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• pp.3793-3814
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• 2021

Most secure solutions like cryptography are software based and they are designed to mainly deal with the outside attacks for traditional networks, but such soft security is hard to be implemented in wireless sensor networks to counter the inside attacks from internal malicious nodes. To address this issue, reputation has been introduced to tackle the inside malicious nodes. Reputation is essentially a stimulating mechanism for nodes' cooperation and is employed to detect node misbehaviors and improve the trust-worthiness between individual nodes. Among the reputation models, binomial distribution based reputation has many advantages such as light weight and ease of implementation in resource-constraint sensor nodes, and accordingly researchers have proposed many insightful related methods. However, some of them either directly use the modelling results, apply the models through simple modifications, or only use the required components while ignoring the others as an integral part of the whole model, this topic still lacks a comprehensive and systematical review. Thus the motivation of this study is to provide a thorough survey concerning each detailed functional components of binomial distribution based reputation for wireless sensor networks. In addition, based on the survey results, we also argue some open research problems and suggest the directions that are worth future efforts. We believe that this study is helpful to better understanding the reputation modeling mechanism and its components for wireless sensor networks, and can further attract more related future studies.

• ETRI Journal
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• 제46권4호
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• pp.604-618
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• 2024

In wireless sensor network (WSN) monitoring systems, redundant data from sluggish environmental changes and overlapping sensing ranges can increase the volume of data sent by nodes, degrade the efficiency of information collection, and lead to the death of sensor nodes. To reduce the energy consumption of sensor nodes and prolong the life of WSNs, this study proposes a dual layer intracluster data fusion scheme based on ring buffer. To reduce redundant data and temporary anomalous data while guaranteeing the temporal coherence of data, the source nodes employ a binarized similarity function and sliding quartile detection based on the ring buffer. Based on the improved support degree function of weighted Pearson distance, the cluster head node performs a weighted fusion on the data received from the source nodes. Experimental results reveal that the scheme proposed in this study has clear advantages in three aspects: the number of remaining nodes, residual energy, and the number of packets transmitted. The data fusion of the proposed scheme is confined to the data fusion of the same attribute environment parameters.