• 제목/요약/키워드: Sensor clustering

검색결과 516건 처리시간 0.03초

Interactive Region Segmentation Method Using Agglomerative Clustering

  • Park, Sanghyun
    • 한국정보기술학회 영문논문지
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    • 제8권2호
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    • pp.89-99
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    • 2018
  • Due to global warming, various natural disasters such as floods and droughts are increasing. If we can detect the possibility of natural disasters in advance, we can prevent massive damages caused by natural disasters. Recent advances in visual sensor technologies have enabled remote monitoring of a variety of natural environments, including lakes, rivers, and shores. In this paper, we propose a method to segment an image obtained from video sensor networks into regions in order to monitor the environment effectively. In the proposed method, we first partition the image into superpixels and model the connections between superpixels as a graph. Then, initial seeds for each region are set by using the prior information, and the initial seeds are expanded to form regions using agglomerative clustering. Experimental results show that the proposed method extracts the regions from natural environment images easily and accurately.

센서 네트워크의 균등분포 클러스터 기반 멀티홉 라우팅 (Balanced Cluster-based Multi-hop Routing in Sensor Networks)

  • 우매리
    • 한국멀티미디어학회논문지
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    • 제19권5호
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    • pp.910-917
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    • 2016
  • Sensors have limited resources in sensor networks, so efficient use of energy is important. Representative clustering methods, LEACH, LEACHC, TEEN generally use direct transmission methods from cluster headers to the sink node to pass collected data. However, the communication distance of the sensor nodes at low cost and at low power is not long, it requires a data transfer through the multi-hop to transmit data to the sink node. In the existing cluster-based sensor network studies, cluster process and route selection process are performed separately in order to configure the routing path to the sink node. In this paper, in order to use the energy of the sensor nodes that have limited resources efficiently, a cluster-based multi-hop routing protocol which merges the clustering process and routing process is proposed. And the proposed method complements the problem of uneven cluster creation that may occur in probabilistic cluster methods and increases the energy efficiency of whole sensor nodes.

공작기계 열오차 모델의 최적 센서위치 선정 (Selection of Optimal Sensor Locations for Thermal Error Model of Machine tools)

  • 안중용
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 1999년도 추계학술대회 논문집 - 한국공작기계학회
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    • pp.345-350
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    • 1999
  • The effectiveness of software error compensation for thermally induced machine tool errors relies on the prediction accuracy of the pre-established thermal error models. The selection of optimal sensor locations is the most important in establishing these empirical models. In this paper, a methodology for the selection of optimal sensor locations is proposed to establish a robust linear model which is not subjected to collinearity. Correlation coefficient and time delay are used as thermal parameters for optimal sensor location. Firstly, thermal deformation and temperatures are measured with machine tools being excited by sinusoidal heat input. And then, after correlation coefficient and time delays are calculated from the measured data, the optimal sensor location is selected through hard c-means clustering and sequential selection method. The validity of the proposed methodology is verified through the estimation of thermal expansion along Z-axis by spindle rotation.

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무선 센서 네트워크에서 가상 이종성 제공 (Virtual Heterogeneity Provision for Wireless Sensor Networks)

  • 배시규
    • 한국멀티미디어학회논문지
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    • 제20권11호
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    • pp.1776-1784
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    • 2017
  • There are two types of WSN(wireless sensor networks) in terms of sensor node's capability, that is, homogeneous or heterogeneous WSN. Even though the latter has better performance than the former, it requires some overhead for deploying nodes or clustering the network. In this paper, we propose a new scheme, called VHS(Virtual Heterogenous Sensor-Network), which uses a homogeneous WSN regarding energy in a heterogeneous way. The proposed scheme's performance has been evaluated and compared with other homogeneous schemes by simulation. The results are shown to be better than the other existing homogeneous schemes used in a sample sensor network application.

계층적 클러스터링을 기반으로 하는 무선 센서 네트워크의 Throughput 과 Availability 평가 (Assessing Throughput and Availability based on Hierarchical Clustering in Wireless Sensor Networks)

  • 이준혁;오영환
    • 한국신뢰성학회지:신뢰성응용연구
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    • 제5권4호
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    • pp.465-486
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    • 2005
  • A unreliable network system results in unsatisfied performance. A performance criterion of a network is throughput and availability. One of the most compelling technological advances of this decade has been the advent of deploying wireless networks of heterogeneous smart sensor nodes for complex information gathering tasks, The advancement and popularization of wireless communication technologies make more efficiency to network devices with wireless technology than with wired technology. Recently, the research of wireless sensor network has been drawing much attentions. In this paper, We evaluate throughput and availability of wireless sensor network, which have hierarchical structure based on clustering and estimate the maximum hroughput, average throughput and availability of the network considering several link failure patterns likely to happen at a cluster consisted of sensor nodes. Also increasing a number of sensor nodes in a cluster, We analysis the average throughput and availability of the network.

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EERA: ENHANCED EFFICIENT ROUTING ALGORITHM FOR MOBILE SENSOR NETWORK

  • Hemalatha, S;Raj, E.George Dharma Prakash
    • International Journal of Computer Science & Network Security
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    • 제22권9호
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    • pp.389-395
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    • 2022
  • A Mobile Sensor Network is widely used in real time applications. A critical need in Mobile Sensor Network is to achieve energy efficiency during routing as the sensor nodes have scarce energy resource. The nodes' mobility in MWSN poses a challenge to design an energy efficient routing protocol. Clustering helps to achieve energy efficiency by reducing the organization complexity overhead of the network which is proportional to the number of nodes in the network. This paper proposes"EERA: Energy Efficient Routing Algorithm for Mobile Sensor Network" is divided into five phases. 1, Cluster Formation 2.Cluster head and Transmission head selection 3.Path Establishment / Route discovery and 4,Data Transmission. Experimental Analysis has been done and is found that the proposed method performs better than the existing method with respect to four parameters.

센서 네트워크 환경에서 스카이라인 질의를 이용한 효율적인 동적 예측 클러스터링 기법 (An Efficient Dynamic Prediction Clustering Algorithm Using Skyline Queries in Sensor Network Environment)

  • 조영복;최재민;이상호
    • 한국컴퓨터정보학회논문지
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    • 제13권7호
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    • pp.139-148
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    • 2008
  • 센서네트워크는 다양한 분야에서 활용되고 있다. 센서네트워크 노드들이 모바일 환경으로 진화함에 따라 클러스터를 구축하고 클러스터 헤더를 선정함에 있어 이에 적합한 방법으로 구축해야 한다. 본 논문에서는 동적 스카이라인 질의 속성 중 방향, 앵글, 홉을 메트릭스로 이용한 동적 예측클러스터링 알고리즘을 제안한다. 제안 알고리즘은 이동 센서노드를 중심으로 클러스터를 형성하고 클러스터 헤더를 선정하는 알고리즘이다. 제안 알고리즘에서는 "Adv"메시지 발생으로 이동 센서노드의 불필요한 에너지 낭비를 줄이고 효율적인 클러스터링을 위한 센서노드의 밀집도에 따라 동적 클러스터를 형성하여 센서노드의 평균 에너지를 2.9배 줄여 네트워크 생명주기를 연장해 준다. 또한 동적 클러스터를 유지함으로 클러스터 내 홉 수를 최적화하여 노드의 평균 에너지 소비율이 14% 감소하였다.

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Performance Evaluation of Distributed Clustering Protocol under Distance Estimation Error

  • Nguyen, Quoc Kien;Jeon, Taehyun
    • International Journal of Internet, Broadcasting and Communication
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    • 제10권1호
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    • pp.11-15
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    • 2018
  • The application of Wireless Sensor Networks requires a wise utilization of limited energy resources. Therefore, a wide range of routing protocols with a motivation to prolong the lifetime of a network has been proposed in recent years. Hierarchical clustering based protocols have become an object of a large number of studies that aim to efficiently utilize the limited energy of network components. In this paper, the effect of mismatch in parameter estimation is discussed to evaluate the robustness of a distanced based algorithm called distributed clustering protocol in homogeneous and heterogeneous environment. For quantitative analysis, performance simulations for this protocol are carried out in terms of the network lifetime which is the main criteria of efficiency for the energy limited system.

EETCA: Energy Efficient Trustworthy Clustering Algorithm for WSN

  • Senthil, T.;Kannapiran, Dr.B.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권11호
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    • pp.5437-5454
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    • 2016
  • A Wireless Sensor Network (WSN) is composed of several sensor nodes which are severely restricted to energy and memory. Energy is the lifeblood of sensors and thus energy conservation is a critical necessity of WSN. This paper proposes a clustering algorithm namely Energy Efficient Trustworthy Clustering algorithm (EETCA), which focuses on three phases such as chief node election, chief node recycling process and bi-level trust computation. The chief node election is achieved by Dempster-Shafer theory based on trust. In the second phase, the selected chief node is recycled with respect to the current available energy. The final phase is concerned with the computation of bi-level trust, which is triggered for every time interval. This is to check the trustworthiness of the participating nodes. The nodes below the fixed trust threshold are blocked, so as to ensure trustworthiness. The system consumes lesser energy, as all the nodes behave normally and unwanted energy consumption is completely weeded out. The experimental results of EETCA are satisfactory in terms of reduced energy consumption and prolonged lifetime of the network.

최적화된 pRBF 뉴럴 네트워크에 의한 정적 상황 인지 시스템에 관한 연구 (A Study on Static Situation Awareness System with the Aid of Optimized Polynomial Radial Basis Function Neural Networks)

  • 오성권;나현석;김욱동
    • 전기학회논문지
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    • 제60권12호
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    • pp.2352-2360
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    • 2011
  • In this paper, we introduce a comprehensive design methodology of Radial Basis Function Neural Networks (RBFNN) that is based on mechanism of clustering and optimization algorithm. We can divide some clusters based on similarity of input dataset by using clustering algorithm. As a result, the number of clusters is equal to the number of nodes in the hidden layer. Moreover, the centers of each cluster are used into the centers of each receptive field in the hidden layer. In this study, we have applied Fuzzy-C Means(FCM) and K-Means(KM) clustering algorithm, respectively and compared between them. The weight connections of model are expanded into the type of polynomial functions such as linear and quadratic. In this reason, the output of model consists of relation between input and output. In order to get the optimal structure and better performance, Particle Swarm Optimization(PSO) is used. We can obtain optimized parameters such as both the number of clusters and the polynomial order of weights connection through structural optimization as well as the widths of receptive fields through parametric optimization. To evaluate the performance of proposed model, NXT equipment offered by National Instrument(NI) is exploited. The situation awareness system-related intelligent model was built up by the experimental dataset of distance information measured between object and diverse sensor such as sound sensor, light sensor, and ultrasonic sensor of NXT equipment.