• Title/Summary/Keyword: Cluster-tree topology

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A Genetic Algorithm with a New Encoding Method for Bicriteria Network Designs (2기준 네트워크 설계를 위한 새로운 인코딩 방법을 기반으로 하는 유전자 알고리즘)

  • Kim Jong-Ryul;Lee Jae-Uk;Gen Mituso
    • Journal of KIISE:Software and Applications
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    • v.32 no.10
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    • pp.963-973
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    • 2005
  • Increasing attention is being recently devoted to various problems inherent in the topological design of networks systems. The topological structure of these networks can be based on service centers, terminals (users), and connection cable. Lately, these network systems are well designed with tiber optic cable, because the requirements from users become increased. But considering the high cost of the fiber optic cable, it is more desirable that the network architecture is composed of a spanning tree. In this paper, we present a GA (Genetic Algorithm) for solving bicriteria network topology design problems of wide-band communication networks connected with fiber optic cable, considering the connection cost, average message delay, and the network reliability We also employ the $Pr\ddot{u}fer$ number (PN) and cluster string in order to represent chromosomes. Finally, we get some experiments in order to certify that the proposed GA is the more effective and efficient method in terms of the computation time as well as the Pareto optimality.

Nucleotide sequence analysis of the 5S ribosomal RNA gene of the mushroom tricholoma matsutake

  • Hwang, Seon-Kap;Kim, Jong-Guk
    • Journal of Microbiology
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    • v.33 no.2
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    • pp.136-141
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    • 1995
  • From a cluster of structural rRNA genes which has previsouly been cloned (Hwang and Kim, in submission; J. Microbiol. Biotechnol.), a 1.0-kb Eco RI fragment of DNA which shows significant homology to the 25S and rRNA s of Tricholoma matsutake was used for sequence analysis. Nucleotide sequence was bidirectionally determined using delection series of the DNA fragment. Comparing the resultant 1016-base sequence with sequences in the database, both the 3'end of 25S-rRNA gene and 5S rRNA gene were searched. The 5S rRNA gene is 118-bp in length and is located 158-bp downstream of 3'end of the 25S rRNA gene. IGSI and IGS2 (partial) sequences are also contained in the fragment. Multiple alignment of the 5S rRNA sequences was carried out with 5S rRNA sequences from some members of the subdivision Basidiomycotina obtained from the database. Polygenetic analysis with distance matrix established by Kimura's 2-parameter method and phylogenetic tree by UPGMA method proposed that T. matsutake is closely related to efibulobasidium allbescens. Secondary structure of 5S rRNA was also hypothesized to show similar topology with its generally accepted eukaryotic counterpart.

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Location-based Routing Mechanism for Route Discovery (Low-Rate WPAN에서 경로탐색을 위한 위치기반 라우팅 메카니즘)

  • Lee, Jae-Jo;Heo, Joon;Hong, Choong-Seon;Lee, Dae-Young
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.9B
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    • pp.808-817
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    • 2004
  • Many researchers are now working in the Low-Rate WPAN environment. Low-Rate WPAN has as its goal the enhancing computer use by making many sensors available throughout the physical environment, but making them effectively invisible to the user. Low-Rate WPAN environment consists of wireless sensor devices that may move often. Movement of hosts results in a change in routes and the need of some mechanism for determining new routes. This paper suggests an approach to utilize location information to improve performance of a routing mechanism for Low-Rate WPAN Environment. Accordingly, we proved that the proposed mechanism results in a significant reduction in a number of routing messages when comparing with existing mechanisms.

Comparing Two Mycobacterium tuberculosis Genomes from Chinese Immigrants with Native Genomes Using Mauve Alignments

  • Ryoo, Sungweon;Lee, Jeongsoo;Oh, Jee Youn;Kim, Byeong Ki;Kim, Young;Kim, Je Hyeong;Shin, Chol;Lee, Seung Heon
    • Tuberculosis and Respiratory Diseases
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    • v.81 no.3
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    • pp.216-221
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    • 2018
  • Background: The number of immigrants with tuberculosis (TB) increases each year in South Korea. Determining the transmission dynamics based on whole genome sequencing (WGS) to cluster the strains has been challenging. Methods: WGS, annotation refinement, and orthology assignment for the GenBank accession number acquisition were performed on two clinical isolates from Chinese immigrants. In addition, the genomes of the two isolates were compared with the genomes of Mycobacterium tuberculosis isolates, from two native Korean and five native Chinese individuals using a phylogenetic topology tree based on the Multiple Alignment of Conserved Genomic Sequence with Rearrangements (Mauve) package. Results: The newly assigned accession numbers for two clinical isolates were CP020381.2 (a Korean-Chinese from Yanbian Province) and CP022014.1 (a Chinese from Shandong Province), respectively. Mauve alignment classified all nine TB isolates into a discriminative collinear set with matched regions. The phylogenetic analysis revealed a rooted phylogenetic tree grouping the nine strains into two lineages: strains from Chinese individuals and strains from Korean individuals. Conclusion: Phylogenetic trees based on the Mauve alignments were supposed to be useful in revealing the dynamics of TB transmission from immigrants in South Korea, which can provide valuable information for scaling up the TB screening policy for immigrants.

An Adaptive Clustering Protocol Based on Position of Base-Station for Sensor Networks (센서 네트워크를 위한 싱크 위치 기반의 적응적 클러스터링 프로토콜)

  • Kook, Joong-Jin;Park, Young-Choong;Park, Byoung-Ha;Hong, Ji-Man
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.12
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    • pp.247-255
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    • 2011
  • Most existing clustering protocols have been aimed to provide balancing the residual energy of each node and maximizing life-time of wireless sensor networks. In this paper, we present the adaptive clustering strategy related to sink position for clustering protocols in wireless sensor networks. This protocol allows networks topology to be adaptive to the change of the sink position by using symmetrical clustering strategy that restricts the growth of clusters based on depth of the tree. In addition, it also guarantees each cluster the equal life-time, which may be extended compared with the existing clustering protocols. We evaluated the performance of our clustering scheme comparing to LEACH and EEUC, and observe that our protocol is observed to outperform existing protocols in terms of energy consumption and longevity of the network.

The Beacon Frame-Based Node Grouping Algorithm for Improving the Performance between MCT devices in the Home Wireless Network (가정 무선 네트워크 내 MCT 디바이스 간 성능 향상을 위한 Beacon frame 기반 노드 그룹화 알고리즘)

  • Kim, Gyu-Do;Kown, Young-Ho;Rhee, Byung-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.10a
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    • pp.787-790
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    • 2015
  • Recently, M2M (Machine to Machine) communication is possible the development of MTC (Machine Type Communication) devices becomes active. MCT devices in the form of home appliances have a low power consumption, low cost, short-range wireless communication in wireless home network. For purpose, MTC devices based on IEEE 802.15.4/Zigbee are composed in the form of cluster-tree topology, which consists of one PAN (Personal Area Network), one or other router and end of nodes. It happens that transmission delay, packet drop, and lacking data resulted from collision originated by a competition for allocating channels among MTC devices that greatly increased. At last performance of entire network can be degradated. This paper proposes that the beacon frame-based grouping algorithm using multiple channels in a MTC devices in the presence of wireless home network interference. The proposed algorithm decreases the transmission delay, dropped packet and throughput is more increase, so the proposal algorithm is more efficient than the IEEE 802.15.4/ Zigbee standard.

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