• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.141-141
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• 2023

본 연구에서는 음향센싱 기법을 활용하여 소류사량 계측이 가능한 센서인 파이프 하이드로폰을 2가지 형태로 개발하여 설치 형태에 따른 소류사량 계측 성능을 비교·분석하였다. 파이프 하이드로폰은 수리구조물 끝단에 설치하는 부착식 하이드로폰과 하천 하상에 설치 가능한 형태로 제작하였으며, 파이프 하이드로폰의 실내 실험을 위한 수리실험장치를 구축하였다. 소류사 음향 데이터를 수집 및 저장하기 위해 National Instrument사에서 개발된 LabVIEW 언어를 이용하여 데이터 분석 프로그램을 개발하였으며, 데이터를 시계열 그래프로 표출하여 센서를 통해 계측되는 소류사의 특성을 분석하였다. 분석 결과 하천 하상 설치 형태의 파이프 하이드로폰은 후류가 발생하여 센서 후면으로 소류사가 재충돌되는 현상이 발생하였으며, 이에 6~9% 정도의 과다 산출되는 것을 확인할 수 있었다. 또한 소류사가 센서에 퇴적되어 지속적인 데이터를 취득하기에는 적합하지 못할 것으로 판단되었다. 동일한 조건으로 실험한 부착식 하이드로폰은 후류로 인한 재충돌 현상 및 퇴적현상 또한 발생하지 않았으며, 소류사량 추정 결과 90.9%로 양호한 수준의 성능이 확인되었다.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.3
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• pp.24-33
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• 2009

Stream data, gathered from ubiquitous sensor networks, change continuously over time. Because they have quite different characteristics from traditional databases, we need new techniques for storing and querying/analyzing these stream data, which are research issues recently emerging. In this research, we implemented a storage manager gathering stream data and storing them into databases, which are sampled continuously from sensor networks. The storage manager cleans faulty data occurred in mobile sensors and it also reduces the size of stream data by merging repeatedly-sampled values into one and by employing the tilted time frame which stores stream data with several different sampling rates. In this research furthermore, we measured the performance of the storage manager in the context of a sensor network monitoring fires of a building. The experimental results reveal that the storage manager reduces significantly the size of storage spaces and it is effective to manage the data stream for real applications monitoring buildings and their fires.

• The Journal of the Korea Contents Association
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• v.10 no.11
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• pp.58-67
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• 2010

Data-centric storage schemes(DCS) are one of representative researches that efficiently store and manage sensor readings in sensor nodes in the sensor networks. In DCS, a sensor sends the sensed data to a specific node in order to store them. However, it has a problem that sensor nodes consume a lot of energy for transmitting their readings to remote sensor node. In this paper, we propose a novel sensor data compression algorithm to reduce communication costs for DCS. The proposed algorithm establishes a safe region and transmits the sensed data only when current measurement is out of the safe region, As a result, the proposed algorithm extends network life time and reduces data transmission. It is shown through performance evaluation that our proposed algorithm reduces energy consumption by about 60% over the conventional algorithm.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.33 no.5B
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• pp.326-333
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• 2008

In wireless sensor networks, a sensor node with in-network aggregation adjusts the timeout which is a waiting time to receive messages from child nodes. This paper proposes a novel timeout scheduling scheme for data aggregation in wireless sensor networks, which adaptively configures its timeout according to changing data patterns in order to improve energy efficiency and data accuracy during data aggregation. The proposed scheme decreases the timeout when the temporal difference of collected data(data variation) from children is lower than a pre-defined threshold because there is no occurrence of critical events. Conversely, it increases the timeout when the data variation is higher than the pre-defined threshold in order to fulfill more accurate data aggregation. Extensive simulation reveals that the proposed scheme outperforms the cascading-based scheme in terms of energy consumption and data accuracy.

• Spatial Information Research
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• v.20 no.1
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• pp.91-103
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• 2012

Recently, there has been much interest in the middleware that can smoothly acquire and analyze Geosensor information which includes sensor readings, location, and its surrounding spatial information. In relation to development of the middleware, researchers have proposed various algorithms for energy-efficient information filtering in Geosensor networks and have proposed Geosensor web technologies which can efficiently mash up sensor readings with spatial information on the web, also. The filtering algorithms and Geosensor Web technologies have contributions on energy-efficiency and OpenAPI, however the algorithms and technologies could not support easy and rapid development of u-GIS applications that need various Geosensor networks. Therefore, we propose a new Geosensor network middleware that can dramatically reduce the time and cost required for development of u-GIS applications that integrate heterogeneous Geosensor networks. The proposed middleware has several merits of being capable of acquiring heterogeneous Geosensor information using the standard SWE and an extended SQL, optimally performing various attribute and spatial operators, and easily integrating various Geosensor networks. Finally, we clarify our middleware's distinguished features by developing a prototype that can monitor environmental information in realtime using spatial information and various sensor readings of temperature, humidity, illumination, imagery, and location.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.40-44
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• 2009

Data-centric storage schemes(DCS) are one of representative researches that efficiently store and manage sensor readings in sensor nodes in the sensor networks. In DCS, a sensor sends the sensed data to a specific node in order to store them. However, it has a problem that sensor nodes consume a lot of energy for transmitting their readings to remote sensor node. In this paper, we propose a novel sensor data compression algorithm to reduce communication costs. The proposed algorithm does not transmit all the sensed data and establishes a safe region. It transmits the sensed data only when current measurement is out of the safe region, As a result, the propposed algorithm extends network life time and reduces data transmission. It is shown through performance evaluation that our proposed algorithm reduces energy consumption by about 60% over the conventional algorithm.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.97-100
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• 2015

In this paper, we propose an efficient method of transmitting data according to size using the Zigbee and Wifi in a wireless sensor network. In existing wireless sensor network using Zigbee and Wifi, Zigbee transmits text and Wifi transmits image and video. Existing research methods in this way is caused a problem that the transmission by selecting a transmission method according to data type. In the case of aggregated data, Zigbee is less efficient than Wifi in some case because of limitation of zigbee's transmission rate, even if data type is text. In this paper, we propose a method for selecting a transmission method by considering the size of the data and transfer efficiency not by data type. It was obtained results that appear to be convenient, according to the linkage algorithm structure of the image and sensing data by selecting a transmission method from data size, not the type of the given data.

• Journal of Internet Computing and Services
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• v.8 no.2
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• pp.43-54
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• 2007

The effective power consumption is the primary issue in a sensor network which consists of the sensor nodes with limited battery power. So, most of the MAC protocols in sensor networks have been designed with the consideration of energy efficiency. Generally, these protocols make use of the listen and sleep mode periodically. However, this approach inevitably causes a long transmission delay on the data forwarding path, which is mainly resulted from the sleep time of the receiver node. This paper deals with a design of DT-MAC(Data Transmission centric MAC) protocol, with minimizes the data transmission delay while it forces each node to consume its energy efficiently. Thus, a node received a packet converts its remained sleep time to the pseudo_listen time, in which the node is able to transmit a packet. With benefit of the pseudo_listen period, the data transmission delay along with the data forwarding path will be shortened as much as it possible. Therefore, DT-MAC protocol is very suitable to the various applications which require a real time sensing data such as disaster and fire alarm.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.324-325
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• 2016

The sensor network-based service collects data by using the sensor, the data is aware of the situation via the analysis, and the service provider provides a service suitable for the user via the context-awareness. However, this data is generated, it is difficult to match the metadata and standard units. The data integration is required to use the data generated by the different specifications of the sensor efficiently. Accordingly, in this paper we propose a method using an ontology as a method to integrate the data generated by the existing sensors and the new sensor. The ontology is mapping to the standard item and sensors, also include a type and structural difference. The mapping is comprised of two:data mapping, and metadata mapping. There are standard items that are created in this way, type of data exchange between services. This can solve the heterogeneous problem generated by sensors.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.1
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• pp.113-119
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• 2020

Large sensor networks require the collection and analysis of data from a large number of sensors. The number of sensors that can be controlled per micro controller is limited. In this paper, we propose how to aggregate sensor data from a large number of sensors using a large number of microcontrollers and multiple bridge nodes, and design and implement an efficient communication system for sensor data collection. Bridge nodes aggregate data from multiple microcontrollers using SPI communication, and transfer the aggregated data to PC servers using wireless TCP/IP communication. In this paper, the communication system was constructed using the Open H/W Aduo Mini and ESP8266 and performance of the system was analyzed. The performance analysis results showed that more than 30 sensing data can be collected per second from more than 700 sensors.