• Title/Summary/Keyword: Nodes Clustering

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Communication Protocol to Support Mobile Sinks by Multi-hop Clusters in Wireless Sensor Networks (무선 센서 네트워크에서 멀티-홉 클러스터를 통한 이동 싱크 지원 통신 프로토콜)

  • Oh, Seung-Min;Jung, Ju-Hyun;Lee, Jeong-Cheol;Park, Ho-Sung;Yim, Yong-Bin;Kim, Sang-Ha
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.3A
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    • pp.287-295
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    • 2010
  • In wireless sensor networks(WSNs), the studies that support sink mobility without global position information exploit a Backbone-based Virtual Infrastructure (BVI) which considers one-hop clusters and a backbone-based tree. Since the clusters of a sink and a source node are connected via flooding into the infrastructure, it causes high routing cost. Although the network could reduce the number of clusters via multi-level clusters, if the source nodes exist at nearest clusters from the cluster attached by the sink and they are in different branches of the tree, the data should be delivered via detour paths on the tree. Therefore, to reduce the number of clusters, we propose a novel multi-hop cluster based communication protocol supporting sink mobility without global position information. We exploit a rendezvous cluster head for sink location service and data dissemination but the proposed protocol effectively reduces data detour via comparing cluster hops from the source. Simulation shows that the proposed protocol is superior to the existing protocols in terms of the data delivery hop counts.

Energy Efficient Clustering Scheme for Mobile Wireless Sensor Network (이동 무선 센서 네트워크에서의 에너지 효율적인 클러스터링 기법)

  • Lee, Eun-Hee;Kim, Hyun-Duk;Choi, Won-Ik;Chae, Jin-Seok
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.4A
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    • pp.388-398
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    • 2011
  • In this paper, we introduce an EMSP(Efficient Mobility Support Protocol) for mobile sensor network with mobility-aware. We propose virtual cluster and node split scheme considering movements of mobile nodes. The existing M-LEACH protocol suffers from communication cost spent on JOIN request information during invitation phase. To address this issue, the large boundary of the cluster in LUR-tree can reduce superfluous update cost. In addition to the expansion of the cluster, the proposed approach exploits node split algorithms used in R-tree in order to uniformly form a cluster. The simulated results show that energy-consumption has less up to about 40% than LEACH-C and 8% than M-LEACH protocol. Finally, we show that the proposed scheme outperforms those of other in terms of lifetime of sensor fields and scalability in wireless sensor network.

Virtual Address Routing Protocol for The Shortest Path Transmission of Data (데이터의 최단 거리 전송을 위한 가상 주소 라우팅 프로토콜)

  • Kim, Jiwon;Cho, Taehwan;Choi, Sangbang
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.42 no.1
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    • pp.50-63
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    • 2017
  • In the wireless sensor networks, a sensor node has limited resources such as battery or memory. Hence, the routing protocol used in the wireless sensor networks is required efficient use of resources. In this paper, the VAP(Virtual Address Protocol), ensures the shortest transmission path for data transmission between the sink node and sensor node, is proposed. The VAP is assigned each node virtual address and sub address related with its neighboring nodes. The shortest transmission path to the destination node will be choose by comparing to each other address of its neighboring node. The comparison with other existing routing protocol shows that transmission path and usage of memory resource are minimized. Also transmission delay time of data was reduced.

Cluster-head-selection-algorithm in Wireless Sensor Networks by Considering the Distance (무선 센서네트워크에서 거리를 고려한 클러스터 헤드 선택 알고리즘)

  • Kim, Byung-Joon;Yoo, Sang-Shin
    • Journal of the Korea Society of Computer and Information
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    • v.13 no.4
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    • pp.127-132
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    • 2008
  • Wireless sensor network technologies applicable to various industrial fields are rapidly growing. Because it is difficult to change a battery for the once distributed wireless sensor network, energy efficient design is very critical. In order to achieve this purpose in network design, a number of studies have been examining the energy efficient routing protocol. The sensor network consumes energy in proportion to the distance of data transmission and the data to send. Cluster-based routing Protocols such as LEACH-C achieve energy efficiency through minimizing the distance of data transmission. In LEACH-C, however, the total distance between the nodes consisting the clusters are considered important in constructing clustering. This paper examines the cluster-head-selection-algorithm that reflect the distance between the base station and the cluster-head having a big influence on energy consumption. The Proposed method in this paper brought the result that the performance improved average $4{\sim}7%$ when LEACH-C and the base station are located beyond a certain distance. This result showed that the distance between cluster-head and the base station had a substantial influence on lifetime performance in the cluster-based routing protocol.

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Improvement of Classification Rate of Handwritten Digits by Combining Multiple Dynamic Topology-Preserving Self-Organizing Maps (다중 동적 위상보존 자기구성 지도의 결합을 통한 필기숫자 데이타의 분류율 향상)

  • Kim, Hyun-Don;Cho, Sung-Bae
    • Journal of KIISE:Software and Applications
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    • v.28 no.12
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    • pp.875-884
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    • 2001
  • Although the self organizing map (SOM) is widely utilized in such fields of data visualization and topology preserving mapping, since it should have the topology fixed before trained, it has some shortcomings that it is difficult to apply it to practical problems, and classification capability is quite low despite better clustering performance. To overcome these points this paper proposes the dynamic topology preserving self-organizing map(DTSOM) that dynamically splits the output nodes on the map and trains them, and attempts to improve the classification capability by combining multiple DTSOMs K-Winner method has been applied to combine DTSOMs which produces K outputs with winner node selection method. This produces even better performance than the conventional combining methods such as majority voting weighting, BKS Bayesian, Borda, Condorect and reliability sum. DTSOM remedies the shortcoming of determining the topology in advance, and the classification rate increases significantly by combing multiple maps trained with different features. Experimental results with handwritten digit recognition indicate that the proposed method works out to problems of conventional SOM effectively so to improve the classification rate to 98.1%.

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An Efficient Data Distribution Method on a Distributed Shared Memory Machine (분산공유 메모리 시스템 상에서의 효율적인 자료분산 방법)

  • Min, Ok-Gee
    • The Transactions of the Korea Information Processing Society
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    • v.3 no.6
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    • pp.1433-1442
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    • 1996
  • Data distribution of SPMD(Single Program Multiple Data) pattern is one of main features of HPF (High Performance Fortran). This paper describes design is sues for such data distribution and its efficient execution model on TICOM IV computer, named SPAX(Scalable Parallel Architecture computer based on X-bar network). SPAX has a hierarchical clustering structure that uses distributed shared memory(DSM). In such memory structure, it cannot make a full system utilization to apply unanimously either SMDD(shared Memory Data Distribution) or DMDD(Distributed Memory Data Distribution). Here we propose another data distribution model, called DSMDD(Distributed Shared Memory Data Distribution), a data distribution model based on hierarchical masters-slaves scheme. In this model, a remote master and slaves are designated in each node, shared address scheme is used within a node and message passing scheme between nodes. In our simulation, assuming a node size in which system performance degradation is minimized,DSMDD is more effective than SMDD and DMDD. Especially,the larger number of logical processors and the less data dependency between distributed data,the better performace is obtained.

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Adaptive OFDMA with Partial CSI for Downlink Underwater Acoustic Communications

  • Zhang, Yuzhi;Huang, Yi;Wan, Lei;Zhou, Shengli;Shen, Xiaohong;Wang, Haiyan
    • Journal of Communications and Networks
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    • v.18 no.3
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    • pp.387-396
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    • 2016
  • Multiuser communication has been an important research area of underwater acoustic communications and networking. This paper studies the use of adaptive orthogonal frequency-division multiple access (OFDMA) in a downlink scenario, where a central node sends data to multiple distributed nodes simultaneously. In practical implementations, the instantaneous channel state information (CSI) cannot be perfectly known by the central node in time-varying underwater acoustic (UWA) channels, due to the long propagation delays resulting from the low sound speed. In this paper, we explore the CSI feedback for resource allocation. An adaptive power-bit loading algorithm is presented, which assigns subcarriers to different users and allocates power and bits to each subcarrier, aiming to minimize the bit error rate (BER) under power and throughput constraints. Simulation results show considerable performance gains due to adaptive subcarrier allocation and further improvement through power and bit loading, as compared to the non-adaptive interleave subcarrier allocation scheme. In a lake experiment, channel feedback reduction is implemented through subcarrier clustering and uniform quantization. Although the performance gains are not as large as expected, experiment results confirm that adaptive subcarrier allocation schemes based on delayed channel feedback or long term statistics outperform the interleave subcarrier allocation scheme.

A Cluster-Based Top-k Query Processing Algorithm in Wireless Sensor Networks (무선 센서 네트워크에서 클러스터 기반의 Top-k 질의 처리)

  • Yeo, Myung-Ho;Seong, Dong-Ook;Yoo, Jae-Soo
    • Journal of KIISE:Databases
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    • v.36 no.4
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    • pp.306-313
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    • 2009
  • Top-k queries are issued to find out the highest (or lowest) readings in many sensor applications. Many top-k query processing algorithms are proposed to reduce energy consumption; FILA installs a filter at each sensor node and suppress unnecessary sensor updates; PRIM allots priorities to sensor nodes and collects the minimal number of sensor reading according to the priorities. However, if many sensor reading converge into the same range of sensor values, it leads to a problem that many false positives are occurred. In this paper, we propose a cluster-based approach to reduce them effectively. Our proposed algorithm operates in two phases: top-k query processing in the cluster level and top-k query processing in the tree level. False positives are effectively filtered out in each level. Performance evaluations show that our proposed algorithm reduces about 70% false positives and achieves about 105% better performance than the existing top-k algorithms in terms of the network lifetime.

Design and Implementation of an SCI-Based Network Cache Coherent NUMA System for High-Performance PC Clustering (고성능 PC 클러스터 링을 위한 SCI 기반 Network Cache Coherent NUMA 시스템의 설계 및 구현)

  • Oh Soo-Cheol;Chung Sang-Hwa
    • Journal of KIISE:Computer Systems and Theory
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    • v.31 no.12
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    • pp.716-725
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    • 2004
  • It is extremely important to minimize network access time in constructing a high-performance PC cluster system. For PC cluster systems, it is possible to reduce network access time by maintaining network cache in each cluster node. This paper presents a Network Cache Coherent NUMA (NCC-NUMA) system to utilize network cache by locating shared memory on the PCI bus, and the NCC-NUMA card which is core module of the NCC-NUMA system is developed. The NCC-NUMA card is directly plugged into the PCI slot of each node, and contains shared memory, network cache, shared memory control module and network control module. The network cache is maintained for the shared memory on the PCI bus of cluster nodes. The coherency mechanism between the network cache and the shared memory is based on the IEEE SCI standard. According to the SPLASH-2 benchmark experiments, the NCC-NUMA system showed improvements of 56% compared with an SCI-based cluster without network cache.

Development for Wetland Network Model in Nakdong Basin using a Graph Theory (그래프이론을 이용한 낙동강 유역의 습지네트워크 구축모델 개발)

  • Rho, Paikho
    • Journal of Wetlands Research
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    • v.15 no.3
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    • pp.397-406
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    • 2013
  • Wetland conservation plan has been established to protect ecologically important wetlands based on vegetation integrity, spatial distribution of endangered species, but recently more demands are concentrated on the landscape ecological approaches such as topological relationship, neighboring area, spatial arrangements between wetlands at the broad scale. Landscape ecological analysis and graph theory are conducted to identify spatial characteristics related to core nodes and weak links of wetland networks in Nakdong basin. Regular planar model, which is selected for wetland networks, is applied in the Nakdong basin. The analysis indicates that 5 regional groups and 4 core wetlands are extracted with 15km threshold distance. The IIC and PC values based on the binary and probability models suggest that the wetland group C composed of main stream of Nakdong river and Geumho river is the most important area for wetland network. Wetland conservation plan, restoration projected of damaged and weak links between wetlands should be proposed through evaluating the node, links, and networks from wetlands at the local to the regional scale in Nakdong basin.