• 제목/요약/키워드: Partition of energy

검색결과 121건 처리시간 0.023초

Prolong life-span of WSN using clustering method via swarm intelligence and dynamical threshold control scheme

  • Bao, Kaiyang;Ma, Xiaoyuan;Wei, Jianming
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권6호
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    • pp.2504-2526
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    • 2016
  • Wireless sensors are always deployed in brutal environments, but as we know, the nodes are powered only by non-replaceable batteries with limited energy. Sending, receiving and transporting information require the supply of energy. The essential problem of wireless sensor network (WSN) is to save energy consumption and prolong network lifetime. This paper presents a new communication protocol for WSN called Dynamical Threshold Control Algorithm with three-parameter Particle Swarm Optimization and Ant Colony Optimization based on residual energy (DPA). We first use the state of WSN to partition the region adaptively. Moreover, a three-parameter of particle swarm optimization (PSO) algorithm is proposed and a new fitness function is obtained. The optimal path among the CHs and Base Station (BS) is obtained by the ant colony optimization (ACO) algorithm based on residual energy. Dynamical threshold control algorithm (DTCA) is introduced when we re-select the CHs. Compared to the results obtained by using APSO, ANT and I-LEACH protocols, our DPA protocol tremendously prolongs the lifecycle of network. We observe 48.3%, 43.0%, and 24.9% more percentages of rounds respectively performed by DPA over APSO, ANT and I-LEACH.

드론과 무선 센서 네트워크 연동에서 랑데부 노드 선정 (Rendezvous Node Selection in Interworking of a Drone and Wireless Sensor Networks)

  • 민홍;정진만;허준영;김봉재
    • 한국인터넷방송통신학회논문지
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    • 제17권1호
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    • pp.167-172
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    • 2017
  • 무선 센서 네트워크의 수명 연장을 위해서 이동 노드를 활용하는 방법들이 제안되었고 최근 드론 기술의 발달로 드론을 활용한 데이터 수집에 관련된 연구들이 활발하게 진행되고 있다. 지상의 무선 센서 네트워크와 드론을 연동할 경우 데이터 수집의 실시간성과 효율성이 높아지는 장점이 있다. 그러나 기존의 연구들은 드론의 에너지 소모를 줄이기 위해 비행 거리를 최소화하는 문제만을 집중하고 있어 노드들의 에너지 소모가 균일하지 못하는 문제를 발생 시킨다. 이러한 불균형적인 노드의 에너지 소모는 각 네트워크의 단절을 가속화하고 이로 인해 드론의 비행거리가 증가하는 문제가 발생한다. 본 논문에서는 이러한 문제를 해결하기 위해 각 클러스터의 내용을 수집하여 드론과 직접 통신하는 랑데부 노드 선정 시 드론의 예상 비행거리와 노드의 수명을 고려한 기법을 제안하였다.

마산만의 Tributyltin 거동 및 물질수지 산정 (Estimation of Transport and Mass balance of Tributyltin in Masan Bay)

  • 김동명
    • 한국해양환경ㆍ에너지학회지
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    • 제5권4호
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    • pp.48-56
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    • 2002
  • 마산만에 대하여 stella 프로그램을 이용한 Tributyltin모델을 구축하였으며, 민감도 분석 및 물질수지를 산정하여 수질관리의 기초자료로 제공하였다. 민감도 분석결과 수층과 유기 입자내 Tributyltin의 경우는 침강속도와 분배계수에 가장 큰 영향을 받는 것으로 나타났으며, 식물플랑크톤 체내의 Tributyltin의 경우는 식물플랑크톤의 생물농축계수가 가장 큰 영향을 미치는 인자로 나타났다. 따라서 추후의 Tributyltin에 대한 모델 적용 시에는 이들 계수에 대한 정밀한 고찰이 필요할 것으로 사료된다. 대상해역의 Tributyltin 현존량은 수층의 Tributyltin량이 3.29×10⁴g, 플랑크톤 체내의 Tributyltin량이 1.16×10²g, 입자상 유기물내의 Tributyltin량이 3.17×10³g로 나타났다 상간의 전환경로는 입자상 유기물로 분배되는 경로가 1.64×10³g/day로 가장 크게 나타났으며, 다음이 저질로의 침전으로 1.52×10³/g/4ay이었으며 외해로의 유출이 1.32×10³g/4ay로 나타났다.

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공유형 태양 에너지 기반 센서 시스템을 위한 효율적인 에너지 관리 기법 (Efficient Energy Management for Shared Solar-powered Sensor System)

  • 노동건
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2010년도 추계학술대회
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    • pp.531-534
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    • 2010
  • 본 논문에서는 공유형 태양 에너지 기반 센서 시스템을 위한 가상 에너지 시스템의 개념을 이용한 효율적인 에너지 관리 기법을 소개한다. 가상 에너지 시스템은 한 센서 노드에서 동시에 수행되는 여러 응용들이 각각 자신이 사용할 에너지양을 예약하여 사용할 수 있게 하는 추상화 계층이다. 이렇게 함으로서 응용과 시스템의 수정 없이, 수집되는 태양 에너지를 각 응용에서 조화롭게 사용할 수 있고, 따라서 태양 에너지의 효율적 사용이 가능하게 된다. 실험 결과는 가상 에너지 시스템이 효율적이고 안정적으로 동작하여, 한 센서 노드에서 여러 응용이 조화롭게 실행됨을 보여주고 있다.

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Near infrared spectroscopy for classification of apples using K-mean neural network algorism

  • Muramatsu, Masahiro;Takefuji, Yoshiyasu;Kawano, Sumio
    • 한국근적외분광분석학회:학술대회논문집
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    • 한국근적외분광분석학회 2001년도 NIR-2001
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    • pp.1131-1131
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    • 2001
  • To develop a nondestructive quality evaluation technique of fruits, a K-mean algorism is applied to near infrared (NIR) spectroscopy of apples. The K-mean algorism is one of neural network partition methods and the goal is to partition the set of objects O into K disjoint clusters, where K is assumed to be known a priori. The algorism introduced by Macqueen draws an initial partition of the objects at random. It then computes the cluster centroids, assigns objects to the closest of them and iterates until a local minimum is obtained. The advantage of using neural network is that the spectra at the wavelengths having absorptions against chemical bonds including C-H and O-H types can be selected directly as input data. In conventional multiple regression approaches, the first wavelength is selected manually around the absorbance wavelengths as showing a high correlation coefficient between the NIR $2^{nd}$ derivative spectrum and Brix value with a single regression. After that, the second and following wavelengths are selected statistically as the calibration equation shows a high correlation. Therefore, the second and following wavelengths are selected not in a NIR spectroscopic way but in a statistical way. In this research, the spectra at the six wavelengths including 900, 904, 914, 990, 1000 and 1016nm are selected as input data for K-mean analysis. 904nm is selected because the wavelength shows the highest correlation coefficients and is regarded as the absorbance wavelength. The others are selected because they show relatively high correlation coefficients and are revealed as the absorbance wavelengths against the chemical structures by B. G. Osborne. The experiment was performed with two phases. In first phase, a reflectance was acquired using fiber optics. The reflectance was calculated by comparing near infrared energy reflected from a Teflon sphere as a standard reference, and the $2^{nd}$ derivative spectra were used for K-mean analysis. Samples are intact 67 apples which are called Fuji and cultivated in Aomori prefecture in Japan. In second phase, the Brix values were measured with a commercially available refractometer in order to estimate the result of K-mean approach. The result shows a partition of the spectral data sets of 67 samples into eight clusters, and the apples are classified into samples having high Brix value and low Brix value. Consequently, the K-mean analysis realized the classification of apples on the basis of the Brix values.

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물/1,2-Dichloroethane 계면에서 Cefotiam 약물 이온의 전이 반응 연구 및 약물 센서에 응용 (Electrochemical Study on Transfer Reaction of Ionizable Cefotiam across a Water/1,2-dichloroethane Interface and Drug Sensing Applications)

  • 리우샤오원;신타제시카;이혜진
    • 공업화학
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    • 제29권5호
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    • pp.581-588
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    • 2018
  • 본 논문은 편극화된 물/1,2-dichloroethane (1,2-DCE) 계면에서 세포티암(cefotiam, CTM) 항생제 약물의 전이 반응을 전기화학적 방법으로 조사하였다. CTM 약물은 물의 pH에 따라 서로 다른 전하를 가지고 이온화되며 각 pH에서 이들 이온의 전이 반응을 연구함으로써 처음으로 CTM 약물이 좀 더 우세하게 물 또는 유기층에 분배되는 정도를 나타내는 상 분배 도표를 세웠다. 이를 바탕으로 CTM 약물의 형식 전이 전위값 및 형식 Gibbs 전이 에너지 값을 포함한 열역학적 정보와 함께 분배 계수를 포함한 중요한 약물동태학 정보를 얻었다. 특히 pH 3.0 수용액에서 양전하를 띠는 CTM 이온의 전이 반응을 순환전압전류법으로 조사한 결과 CTM 농도에 따라 측정한 전류 값이 비례하여 증가한다는 점을 확인하였다. 이를 바탕으로 CTM 이온을 정량 분석 가능한 센서를 개발하였다. 휴대성과 이동성을 보완하기 위해 polyethylene terephthalate 필름에 마이크로홀을 만들어 지지체로 사용하고, 1,2-DCE 유기용매를 polyvinylchloride-2-nitrophenyloctylether (PVC-NPOE) 유기성 젤로 대체하여 도포하는 방식으로 센서를 제작하였다. 상기 센서를 이용하여 CTM 약물을 $1{\mu}M$에서 $10{\mu}M$까지 정량 분석할 수 있었다.

방사성의약품 합성방식에 관한 연구 - 제 3 보 - $^{113}In$ cow eluate 검토실험 (Preparation of Radio-pharmaceuticals-IIl - An evaluation of the eluate from a $^{113}Sn-^{113m}In$ cow system -)

  • 김유선;김태영
    • 대한핵의학회지
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    • 제3권1호
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    • pp.69-72
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    • 1969
  • In 1968 total 94,660 mc of radioactive iodocompound were prepared and distributed to the urers. In order to obtain an effective liver scanning In-113 m colloidal of even particle size from a $^{113}Sn-^{113m}In$ cow, the eluate(pH; 1.5) was examined by a radio paper partition chromatography. It was found that the eluate was composed of two components, ionic form and colloidal form. The ionid form could be eliminated by cation exchange resine and the eluate from the ion exchange resine was of even particle size to give an excellent liver scanning result. Labelling of $^{113m}In$ to human serum albumine was attempted.

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Efficient Dual-layered Hierarchical Routing Scheme for Wireless Sensor Networks

  • Yoon, Mahn-Suk;Kim, Hyun-Sung;Lee, Sung-Woon
    • 한국산업정보학회:학술대회논문집
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    • 한국산업정보학회 2008년도 추계 공동 국제학술대회
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    • pp.507-511
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    • 2008
  • Supporting energy efficiency and load balancing in wireless sensor network is the most important issue in devising the hierarchical routing protocols. Recently, the dual layered clustering scheme with GPS was proposed for the supporting of load balancing for cluster heads but there would be many collided messages in the overlapped area between two layers. Thereby, the purpose of this paper is to reduce the collision rate in the overlapped layer by concisely distinguish them with the same number of nodes in them. For the layer partition, this paper uses an equation $x^2+ y^2{\le}(\frac{R}{\sqrt{2\pi}})^2$ to distinguish layers. By using it, the scheme could efficiently distinguish two layers and gets the balanced number of elements in them. Therefore, the proposed routing scheme could prolong the overall network life cycle about 10% compared to the previous two layered clustering scheme.

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비겹침 구형 모델을 이용한 세공 박막 내 수소 기체의 분산 및 확산 특성 (Partitioning and Diffusion Properties of Hydrogen Gases In Porous Membranes Using the Nonoverlapping Sphere Model)

  • 서승혁;하기룡
    • 한국수소및신에너지학회논문집
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    • 제9권3호
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    • pp.119-125
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    • 1998
  • The modified statistical-mechanical theory for dense fluid mixtures of rigid spheres has been applied to rigid sphere fluids in the nonoverlapping pore model. The resulting expressions for the partition coefficient and diffusivity illustrate the influence of steric hindrance on the thermodynamic and transport properties in such systems. The open membrane model without the size-exclusion and shielding effects shows considerable overestimation of the diffusion flux when the effective mean pore radii of the order of $20{\AA}$ or less are involved. Theoretical predictions investigated here were also compared with experimental data for hydrogen gases in inorganic porous membranes and it was observed a qualitative agreement in the low pressure limit.

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Interference-free Clustering Protocol for Large-Scale and Dense Wireless Sensor Networks

  • Chen, Zhihong;Lin, Hai;Wang, Lusheng;Zhao, Bo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권3호
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    • pp.1238-1259
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    • 2019
  • Saving energy is a big challenge for Wireless Sensor Networks (WSNs), which becomes even more critical in large-scale WSNs. Most energy waste is communication related, such as collision, overhearing and idle listening, so the schedule-based access which can avoid these wastes is preferred for WSNs. On the other hand, clustering technique is considered as the most promising solution for topology management in WSNs. Hence, providing interference-free clustering is vital for WSNs, especially for large-scale WSNs. However, schedule management in cluster-based networks is never a trivial work, since it requires inter-cluster cooperation. In this paper, we propose a clustering method, called Interference-Free Clustering Protocol (IFCP), to partition a WSN into interference-free clusters, making timeslot management much easier to achieve. Moreover, we model the clustering problem as a multi-objective optimization issue and use non-dominated sorting genetic algorithm II to solve it. Our proposal is finally compared with two adaptive clustering methods, HEED-CSMA and HEED-BMA, demonstrating that it achieves the good performance in terms of delay, packet delivery ratio, and energy consumption.