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에너지 수집형 무선 센서 네트워크에서 선택적 데이터 압축을 통한 동적 센싱 주기 제어 기법
윤익준,이준민,정세미,전준민,노동건,Yoon, Ikjune,Yi, Jun Min,Jeong, Semi,Jeon, Joonmin,Noh, Dong Kun 대한임베디드공학회 2016 대한임베디드공학회논문지 Vol.11 No.2
In wireless sensor networks, increasing the sensing rate of each node to improve the data accuracy usually incurs a decrease of network lifetime. In this study, an energy-adaptive data compression scheme is proposed to efficiently control the sensing rate in an energy-harvesting wireless sensor network (WSN). In the proposed scheme, by utilizing the surplus energy effectively for the data compression, each node can increase the sensing rate without any rise of blackout time. Simulation result verifies that the proposed scheme gathers more amount of sensory data per unit time with lower number of blackout nodes than the other compression schemes for WSN.
도시 컴퓨팅 파일 시스템에서 미리 읽기 성능 향상을 위한 자료구조
윤익준(Ikjune Yoon),고광진(Kwangjin Ko),신현식(Heonshik Shin) 한국정보과학회 2012 한국정보과학회 학술발표논문집 Vol.39 No.1A
도시 컴퓨팅에서의 파일 시스템은 하나의 메타 데이터 서버와 여러 개의 데이터 저장 서버로 구성되어 있다. 이 데이터 저장 서버의 자료구조를 사용자의 두 가지 질의에 맞게 구성함으로써 미리 읽기의 성능을 향상 시킨다. 또한 데이터의 손실을 방지하기 위해 복사본을 만들 때, 두 가지의 형태로 바꿔 저장함으로써 데이터의 손실을 막고 여러 질의에 대응하여 좋은 성능을 낼 수 있다.
Ikjune Yoon(윤익준) 한국컴퓨터정보학회 2017 韓國컴퓨터情報學會論文誌 Vol.22 No.5
Solar-powered wireless sensor nodes can use extra energy to obtain additional data to increase the precision. However, if the amount of data sensed is increased indiscriminately, the overhead of relay nodes may increase, and their energy may be exhausted. In this paper, we introduce a sensing and compression rate selection scheme to increase the amount of data obtained while preventing energy exhaustion. In this scheme, the neighbor nodes of the sink node determine the limit of data to be transmitted according to the allocated energy and their descendant nodes, and the other nodes select a compression algorithm appropriate to the allocated energy and the limitation of data to be transmitted. A simulation result verifies that the proposed scheme gathers more data with a lower number of blackout nodes than other schemes. We also found that it adapts better to changes in node density and the amount of energy harvested.
에너지 수집형 무선 센서 네트워크를 위한 에너지 적응형 데이터 압축 및 전송 범위 결정 기법
이준민,오엄지,노동건,윤익준,Yi, Jun Min,Oh, Eomji,Noh, Dong Kun,Yoon, Ikjune 대한임베디드공학회 2016 대한임베디드공학회논문지 Vol.11 No.4
Energy-harvesting nodes in wireless sensor networks(WSNs) can be exhausted due to a heavy workload even though they can harvest energy from their environment. On contrast, they can sometimes fully charged, thus waste the harvested energy due to the limited battery-capacity. In order to utilize the harvested energy efficiently, we introduce a selective data compression and transmission range control scheme for energy-harvesting nodes. In this scheme, if the residual energy of a node is expected to run over the battery capacity, the node spends the surplus energy to exploit the data compression or the transmission range expansion; these operations can reduce the burden of intermediate nodes at the expanse of its own energy. Otherwise, the node performs only basic operations such as sensing or transmitting so as to avoid its blackout time. Simulation result verifies that the proposed scheme gathers more data with fewer number of blackout nodes than other schemes by consuming energy efficiently.