• Title/Summary/Keyword: Cluster network

Search Result 1,443, Processing Time 0.022 seconds

An Energy Efficient Clustering Algorithm in Mobile Adhoc Network Using Ticket Id Based Clustering Manager

  • Venkatasubramanian, S.;Suhasini, A.;Vennila, C.
    • International Journal of Computer Science & Network Security
    • /
    • v.21 no.7
    • /
    • pp.341-349
    • /
    • 2021
  • Many emerging mobile ad-hoc network application communications are group-oriented. Multicast supports group-oriented applications efficiently, particularly in a mobile environment that has a limited bandwidth and limited power. Energy effectiveness along with safety are 2 key problem in MANET design. Within this paper, MANET is presented with a stable, energy-efficient clustering technique. In this proposed work advanced clustering in the networks with ticket ID cluster manager (TID-CMGR) has formed in MANET. The proposed routing scheme makes secure networking the shortest route possible. In this article, we propose a Cluster manager approach based on TICKET-ID to address energy consumption issues and reduce CH workload. TID-CMGR includes two mechanism including ticket ID controller, ticketing pool, route planning and other components. The CA (cluster agent) shall control and supervise the functions of nodes and inform to TID-CMGR. The CH conducts and transfers packets to the network nodes. As the CH energy level is depleted, CA elects the corresponding node with elevated energy values, and all new and old operations are simultaneously stored by CA at this time. A simulation trial for 20 to 100 nodes was performed to show the proposed scheme performance. The suggested approach is used to do experimental work using the NS- simulator. TIDCMGR is compared with TID BRM and PSO to calculate the utility of the work proposed. The assessment shows that the proposed TICKET-ID scheme achieves 90 percent more than other current systems.

Big Data Analysis of the Women Who Score Goal Sports Entertainment Program: Focusing on Text Mining and Semantic Network Analysis.

  • Hyun-Myung, Kim;Kyung-Won, Byun
    • International Journal of Internet, Broadcasting and Communication
    • /
    • v.15 no.1
    • /
    • pp.222-230
    • /
    • 2023
  • The purpose of this study is to provide basic data on sports entertainment programs by collecting data on unstructured data generated by Naver and Google for SBS entertainment program 'Women Who Score Goal', which began regular broadcast in June 2021, and analyzing public perceptions through data mining, semantic matrix, and CONCOR analysis. Data collection was conducted using Textom, and 27,911 cases of data accumulated for 16 months from June 16, 2021 to October 15, 2022. For the collected data, 80 key keywords related to 'Kick a Goal' were derived through simple frequency and TF-IDF analysis through data mining. Semantic network analysis was conducted to analyze the relationship between the top 80 keywords analyzed through this process. The centrality was derived through the UCINET 6.0 program using NetDraw of UCINET 6.0, understanding the characteristics of the network, and visualizing the connection relationship between keywords to express it clearly. CONCOR analysis was conducted to derive a cluster of words with similar characteristics based on the semantic network. As a result of the analysis, it was analyzed as a 'program' cluster related to the broadcast content of 'Kick a Goal' and a 'Soccer' cluster, a sports event of 'Kick a Goal'. In addition to the scenes about the game of the cast, it was analyzed as an 'Everyday Life' cluster about training and daily life, and a cluster about 'Broadcast Manipulation' that disappointed viewers with manipulation of the game content.

Design of Advanced Metering Infrastructure Network Based on Multi-Channel Cluster (다중채널 클러스터 기반의 AMI 네트워크 설계)

  • Choi, Seok-Jun;Shim, Byoung-Sup;Chae, Soo-Kwon
    • The Journal of Korean Institute of Communications and Information Sciences
    • /
    • v.38B no.3
    • /
    • pp.207-215
    • /
    • 2013
  • This paper is channel assignment and scheduling techniques for efficient wireless AMI network. In AMI system, the multi-channel cluster network to be proposed defines the communication channel between NC (Network Coordinator) and CDA (Clustered Data Aggregator) as the network channel. CDA and OMD(Out Meter display) and communication channel between SMD(Smart Meter Device) are defined as the group channel. AMI network of the multi-channel cluster based in which the network channel and group channel is mixed increases the administration efficiency through the physical/logical consumer channel clustering. The reliability of inspection data through the channel use distinguished between the adjacent cluster is enhanced. In addition, the fast aggregation of data is possible and the size of a metering network is increased through the channel allocation of the multichannel cluster based.

An Energy Efficient Query Processing Mechanism using Cache Filtering in Cluster-based Wireless Sensor Networks (클러스터 기반 WSN에서 캐시 필터링을 이용한 에너지 효율적인 질의처리 기법)

  • Lee, Kwang-Won;Hwang, Yoon-Cheol;Oh, Ryum-Duck
    • Journal of the Korea Society of Computer and Information
    • /
    • v.15 no.8
    • /
    • pp.149-156
    • /
    • 2010
  • As following the development of the USN technology, sensor node used in sensor network has capability of quick data process and storage to support efficient network configuration is enabled. In addition, tree-based structure was transformed to cluster in the construction of sensor network. However, query processing based on existing tree structure could be inefficient under the cluster-based network. In this paper, we suggest energy efficient query processing mechanism using filtering through data attribute classification in cluster-based sensor network. The suggestion mechanism use advantage of cluster-based network so reduce energy of query processing and designed more intelligent query dissemination. And, we prove excellence of energy efficient side with MATLab.

Energy Efficient Cluster Routing Method Using Machine Learning in WSN (무선 센서 네트워크에서의 머신러닝을 활용한 에너지 효율적인 클러스터 라우팅 방안 연구)

  • Mi-Young, Kang
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.27 no.1
    • /
    • pp.124-130
    • /
    • 2023
  • In this paper, we intend to improve the network lifetime by improving the energy efficiency of sensor nodes in a wireless sensor network by utilizing machine learning using K-means clustering algorithm. A wireless sensor network is a wireless network composed of physical devices including batteries as physical sensors. Due to the characteristics of sensor nodes, all resources must be efficiently used to minimize energy consumption to maximize network lifetime. A cluster based approach is used to manage groups of relatively large numbers of nodes. In the proposed protocol, by improving the existing LEACH algorithm, we propose a clustering algorithm that selects a cluster head using a cluster based approach and a location based approach. The performance results to be improved were measured using Matlab simulation. Through the experimental results, K-means clustering was applied to the energy efficiency part. By utilizing K-means, it is confirmed that energy efficiency is improved and the lifetime of the entire network is extended.

A Study on Building the Regional Cluster: The Case of Fire and Emergency Industrial Cluster in Samcheok-si

  • Lee, Dong-Kyu;Yang, Gi-Geun
    • International Journal of Contents
    • /
    • v.5 no.3
    • /
    • pp.57-64
    • /
    • 2009
  • Korea has relied on top down development method, in which companies, research and education institutions move into the industrial complexes established by the government. However, to improve local competitiveness, the paradigm is shifting from the government initiated industrial complex to the clusters based on the cooperative network of the region. Representative case is 'Samcheok-si Fire & Emergency industry cluster construction project' that begun in 2007. AHP technique analysis results on first-stage showed that priority was on policy and network elements, and the results of second-stage analysis show that priority was on Policy incentives to internationalize the cluster and strengthen link,. Cluster branding, Sharing of organizational culture to cope with changes in environment, Creation of group learning culture. The subject of this research is limited to Samcheok-si's the Fire and Emergency Industry cluster formation project. Therefore, the research area and standard should be expanded to increase generality in further researches.

Failure Recovery in the Linux Cluster File System SANiqueTM (리눅스 클러스터 화일 시스템 SANiqueTM의 오류 회복 기법)

  • Lee, Gyu-Ung
    • The KIPS Transactions:PartA
    • /
    • v.8A no.4
    • /
    • pp.359-366
    • /
    • 2001
  • This paper overviews the design of SANique$^{TM}$ -a shred file system for Linux cluster based on SAN environment. SANique$^{TM}$ has the capability of transferring user data from network-attached SAN disks to client applcations directly without the control of centralized file server system. The paper also presents the characteristics of each SANique$^{TM}$ subsystem: CFM(Cluster File Manager), CVM(Cluster Volume Manager), CLM(Cluster Lock Manager), CBM(Cluster Buffer Manager) and CRM(Cluster Recovery Manager). Under the SANique$^{TM}$ design layout, then, the syndrome of '||'&'||'quot;split-brain'||'&'||'quot; in shared file system environments is described and defined. The work first generalizes and illustrates possible situations in each of which a shared file system environment may split into two or more pieces of separate brain. Finally, the work describes the SANique$^{TM}$ approach to the given "split-brain"problem using SAN disk named "split-brain" and develops the overall recovery procedure of shared file systems.

  • PDF

A Study on Attack Detection using Hierarchy Architecture in Mobile Ad Hoc Network (MANET에서 계층 구조를 이용한 공격 탐지 기법 연구)

  • Yang, Hwan Seok
    • Journal of Korea Society of Digital Industry and Information Management
    • /
    • v.10 no.2
    • /
    • pp.75-82
    • /
    • 2014
  • MANET has various types of attacks. In particular, routing attacks using characteristics of movement of nodes and wireless communication is the most threatening because all nodes which configure network perform a function of router which forwards packets. Therefore, mechanisms that detect routing attacks and defense must be applied. In this paper, we proposed hierarchical structure attack detection techniques in order to improve the detection ability against routing attacks. Black hole detection is performed using PIT for monitoring about control packets within cluster and packet information management on the cluster head. Flooding attack prevention is performed using cooperation-based distributed detection technique by member nodes. For this, member node uses NTT for information management of neighbor nodes and threshold whether attack or not receives from cluster head. The performance of attack detection could be further improved by calculating at regular intervals threshold considering the total traffic within cluster in the cluster head.

Cluster-Based Trust Evaluation Scheme in an Ad Hoc Network

  • Jin, Seung-Hun;Park, Chan-Il;Choi, Dae-Seon;Chung, Kyo-Il;Yoon, Hyun-Soo
    • ETRI Journal
    • /
    • v.27 no.4
    • /
    • pp.465-468
    • /
    • 2005
  • This paper presents a new trust evaluation scheme in an ad hoc network. To overcome the limited information about unfamiliar nodes and to reduce the required memory space, we propose a cluster-based trust evaluation scheme, in which neighboring nodes form a cluster and select one node as a cluster head. The head issues a trust value certificate that can be referred to by its non-neighbor nodes. In this way, an evaluation of an unfamiliar node's trust can be done very efficiently and precisely. In this paper, we present a trust evaluation metric using this scheme and some operations for forming and managing a cluster. An analysis of the proposed scheme over some security problems is also presented.

  • PDF

An Efficient Overlay for Unstructured P2P File Sharing over MANET using Underlying Cluster-based Routing

  • Shah, Nadir;Qian, Depei
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • v.4 no.5
    • /
    • pp.799-818
    • /
    • 2010
  • In traditional unstructured P2P file sharing network, each peer establishes connections with a certain number of randomly chosen other peers. This would lead to redundant traffic and P2P network partition in mobile ad hoc network (MANET). We propose an approach to construct an efficient unstructured P2P overlay over MANET using underlying cluster-based routing (CBRP). One of the peers in the P2P network is used as a root-peer to connect all peers. Each peer maintains connection with physically closer peers such that it can reach the root-peer. The peer constructs a minimum-spanning tree consisting of itself, its directly connected neighbor peers and 2-hop away neighbor peers to remove far away redundant links and to build an overlay closer to the physical network. Due to on-demand nature of inter-cluster routing of CBRP, the positioning algorithm for MANET is used to retrieve the file by a peer from the source peer via shorter path in the physical network. We can show by simulation that our approach performs better in comparison with the existing approach.