• 제목/요약/키워드: Clustering scheme

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효율적인 개념 클러스터링 기법 (An Efficient Conceptual Clustering Scheme)

  • 양기철
    • 한국엔터테인먼트산업학회논문지
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    • 제14권4호
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    • pp.349-354
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    • 2020
  • 본 논문에서는 개체를 자유롭게 설명하고 효율적으로 클러스터링을 수행 할 수 있는 개념 그래프 기반의 새로운 클러스터링 체계 Clustering scheme Based on Conceptual graphs(CBC)를 제안한다. 개념적 클러스터링은 기계 학습 기술 중 하나이다. 개념 클러스터링에서 개체 간의 유사성은 개체의 의미나 환경을 고려하지 않고 유사성을 결정하는 일반적인 클러스터링 체계와 달리 개념 구성원의 자격에 따라 결정된다. 이 논문에서는 다양한 개체를 개념 그래프로 자유롭게 설명하여 효율적인 개념 클러스터링을 수행 할 수 있는 새로운 개념 클러스터링 체계인 CBC를 소개한다.

무선 센서 네트워크를 위한 데이터 중심의 에너지 인식 재클러스터링 기법 (Data-centric Energy-aware Re-clustering Scheme for Wireless Sensor Networks)

  • 최동민;이지섭;정일용
    • 한국멀티미디어학회논문지
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    • 제17권5호
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    • pp.590-600
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    • 2014
  • In the wireless sensor network environment, clustering scheme has a problem that a large amount of energy is unnecessarily consumed because of frequently occurred entire re-clustering process. Some of the studies were attempted to improve the network performance by getting rid of the entire network setup process. However, removing the setup process is not worthy. Because entire network setup relieves the burden of some sensor nodes. The primary aim of our scheme is to cut down the energy consumption through minimizing entire setup processes which occurred unnecessarily. Thus, we suggest a re-clustering scheme that considers event detection, transmitting energy, and the load on the nodes. According to the result of performance analysis, our scheme reduces energy consumption of nodes, prolongs the network lifetime, and shows higher data collection rate and higher data accuracy than the existing schemes.

Zigbee 환경에서 그룹 크기 조정에 의한 에너지 효율적인 클러스터링 기법 (An energy efficient clustering scheme by adjusting group size in zigbee environment)

  • 박종일;이경화;신용태
    • 센서학회지
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    • 제19권5호
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    • pp.342-348
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    • 2010
  • The wireless sensor networks have been extensively researched. One of the issues in wireless sensor networks is a developing energy-efficient clustering protocol. Clustering algorithm provides an effective way to extend the lifetime of a wireless sensor networks. In this paper, we proposed an energy efficient clustering scheme by adjusting group size. In sensor network, the power consumption in data transmission between sensor nodes is strongly influenced by the distance of two nodes. And cluster size, that is the number of cluster member nodes, is also effected on energy consumption. Therefore we proposed the clustering scheme for high energy efficiency of entire sensor network by controlling cluster size according to the distance between cluster header and sink.

무선 센서네트워크에서 네트워크수명 극대화 방안 (A New Scheme for Maximizing Network Lifetime in Wireless Sensor Networks)

  • 김정삼
    • 디지털산업정보학회논문지
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    • 제10권2호
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    • pp.47-59
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    • 2014
  • In this paper, I propose a new energy efficient clustering scheme to prolong the network lifetime by reducing energy consumption at the sensor node. It is possible that a node determines whether to participate in clustering with certain probability based on local density. This scheme is useful under the environment that sensor nodes are deployed unevenly within the sensing area. By adjusting the probability of participating in clustering dynamically with local density of nodes, the energy consumption of the network is reduced. So, the lifetime of the network is extended. In the region where nodes are densely deployed, it is possible to reduce the energy consumption of the network by limiting the number of node which is participated in clustering with probability which can be adjusted dynamically based on local density of the node. Through computer simulation, it is verified that the proposed scheme is more energy efficient than LEACH protocol under the environment where node are densely located in a specific area.

무선 애드 혹 네트워크상에서 라우팅 성능 향상을 위한 퍼지 적합도 기반 클러스터링 (Fuzzy Relevance-Based Clustering for Routing Performance Enhancement in Wireless Ad-Hoc Networks)

  • 이종득
    • 한국항행학회논문지
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    • 제14권4호
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    • pp.495-503
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    • 2010
  • 클러스터링은 모바일 노드들에 대한 정보를 효율적으로 제공해 주며, 라우팅, 대역폭 할당과 같은 처리성능을 향상시키는 중요한 메카니즘이다. 본 논문에서 우리는 이동성(mobility)으로 인한 동적 속성, 평면구조 구조상에서 발생하는 노드 분산 등과 같은 문제를 효과적으로 해결하고 라우팅 성능을 향상시키기 위한 퍼지 적합도 기반의 클러스터링 기법을 제안한다. 제안된 기법은 FSV(Fuzzy_State_Viewing) 구조를 이용하여 퍼지 적합도${\alpha}$를 수행한다. 퍼지 적합도${\alpha}$는 FSV 구조에서 클러스터링을 수행하기 위한 클러스터헤드 CH(ClusterHead)를 선정하는 역할을 수행한다. 본 논문에서는 이와 같이 제안된 클러스터링 기법을 통해서 기존의 1-홉 클러스터 및 2-hop 클러스터에서 발생되는 문제를 해결하도록 하였다. 제안된 기법의 성능을 알아보기 위하여 우리는 NS-2 시뮬레이터를 이용하여 시뮬레이션을 수행하였다. 우리는 시뮬레이션 평가를 위해 기존의 Lowest-ID, MOBIC, SCA 기법 그리고 제안된 기법과의 성능을 비교하였다. 시뮬레이션 결과 제안된 기법의 성능이 Lowest-ID, MOBIC, SCA 기법에 비해서 우수함을 알 수 있다.

User Clustering Scheme for Downlink of NOMA System

  • Li, Li;Feng, Zhenghui;Tang, Yanzhi;Peng, Zhangjie;Wang, Lisen;Shao, Weilu
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제14권3호
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    • pp.1363-1376
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    • 2020
  • An improved clustering scheme based on user group is proposed. Every two users are grouped among N-users in the allowed system according to their link gain from large to small. Each user group is numbered sequentially. Two user clusters are obtained according to the principle of maximizing link gain difference for the users in the first and last user groups. The remaining user groups are added to the two existing user clusters according to the parity of the group number. The clustering should be clustered again among the users in either user cluster if the throughput summation of a user cluster in NOMA is less than that of these users in orthogonal multiple access. The simulation results show that the proposed clustering scheme can increase the system throughput by about 8% compared with the hybrid clustering scheme when the number of users requiring service is 12.

Min-Distance Hop Count based Multi-Hop Clustering In Non-uniform Wireless Sensor Networks

  • Kim, Eun-Ju;Kim, Dong-Joo;Park, Jun-Ho;Seong, Dong-Ook;Lee, Byung-Yup;Yoo, Jae-Soo
    • International Journal of Contents
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    • 제8권2호
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    • pp.13-18
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    • 2012
  • In wireless sensor networks, an energy efficient data gathering scheme is one of core technologies to process a query. The cluster-based data gathering methods minimize the energy consumption of sensor nodes by maximizing the efficiency of data aggregation. However, since the existing clustering methods consider only uniform network environments, they are not suitable for the real world applications that sensor nodes can be distributed unevenly. To solve such a problem, we propose a balanced multi-hop clustering scheme in non-uniform wireless sensor networks. The proposed scheme constructs a cluster based on the logical distance to the cluster head using a min-distance hop count. To show the superiority of our proposed scheme, we compare it with the existing clustering schemes in sensor networks. Our experimental results show that our proposed scheme prolongs about 48% lifetime over the existing methods on average.

무선 센서 네트워크에서 노드 밀도를 고려한 효율적인 클러스터링 기법 (An Efficient Clustering Scheme Considering Node Density in Wireless Sensor Networks)

  • 김창현;이원주;전창호
    • 전자공학회논문지CI
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    • 제46권4호
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    • pp.79-86
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    • 2009
  • 본 논문에서는 노드 밀도를 고려하여 클러스터를 형성함으로써 데이터 병합 효과를 최대화하고, 에너지 소모를 줄일 수 있는 새로운 클러스터링 기법을 제안한다. 이 기법은 최적의 데이터 병합율을 보장할 수 있도록 클러스터 크기를 결정하기 때문에 메시지 전송 반경을 줄이고, 클러스터간의 간섭을 최소화할 수 있다. 또한 지역적으로 인접한 다수의 노드들을 클러스터로 구성하고 멤버 노드로부터 수신된 데이터를 병합하여 전송함으로써 에너지 소모를 줄인다. 시뮬레이션을 통하여 센서 네트워크를 구성하는 노드의 에너지 소모를 최소화하면 센서 네트워크의 생존시간을 연장할 수 있음을 검증한다. 또한 제안한 클러스터링 기법이 기존의 LEACH 클러스터링 기법에 비해 성능이 우수함을 보인다.

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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클러스터링을 이용한 경험적 태스크 할당 기법 (A Heuristic Task Allocation Scheme Based on Clustering)

  • 김석일;전중남;김관유
    • 한국정보처리학회논문지
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    • 제6권10호
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    • pp.2659-2669
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    • 1999
  • This paper a heuristic, clustering based task allocation scheme applicable to non-directed task graph on a distributed system. This scheme firstly builds a task-machine graph, and then applies a clustering process where in a pair of tasks that are connected to the highest cost edge is merged into a big one or a task is allocated to a machine. During the process, the proposed scheme figure out a machine onto which the task allocation may cause deduction of large communication overhead that has incurred between the task and tasks that are already allocated to the machine while the computation costs is slightly increased in the machine. Simulation for the various task graphs shows that the scheduling using the proposed scheme result far better than ones by using the traditional schemes. A comparison with optimal task scheduling also promises that our scheme derives optimal results more occasionally than the traditional schemes do.

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