• 제목/요약/키워드: network selection

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농산물의 가격특성을 고려한 최적경로 선정모델 개발 (Development of An Optimal Routes Selection Model Considering Price Characteristics of Agricultural Products)

  • Suh, Kyo;Lee, Jeong-Jae;Huh, Yoo-Man;Kim, Han-Joong;Yi, Ho-Jae
    • 한국농공학회논문집
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    • 제46권1호
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    • pp.121-131
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    • 2004
  • Transportation and logistics of agricultural products have been one of the major interests of many researches. Most of researches have been limited to presuming these as a first dimensional process or considering only economic value of agricultural products at each stage of logistics. However, the particular characteristics of agricultural products, such as quality change during transportation or extensively scattered origins, require examining these problems as a whole system. Network model has been adopted to represent nodes, which stand for spatial location of demand and supply of agricultural products, and communication between these nodes. Based on network theory and advanced marketing potential function, an optimal routes selection model is developed. The model employed network simplex method for routes optimization. The application of the model focused on transportation network organization to reflect different market prices for different locations and resulted in optimum routes and profit improvement of the applied agricultural product.

Outage Analysis of a Cooperative Multi-hop Wireless Network for Rayleigh Fading Environment

  • 아사두자만;공형윤
    • 한국통신학회논문지
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    • 제36권2A호
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    • pp.133-138
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    • 2011
  • This paper presents an information theoretic outage analysis for physical layer of a cooperative multihop wireless network. Our analysis shows that cooperation by selecting a proper relay at each hop increases the coverage or data rate of the network. In our analysis we consider both symmetric and asymmetric network model. We also investigate the availability of cooperative relay at each hop and show that end-to-end performance of the network depends on the relay selection procedure at each hop. We also verify our analytical results with simulations.

Mobility-adaptive QoE Provisioning Solution in Heterogeneous Wireless Access Networks

  • Kim, Moon;Cho, Sung-Joon
    • 한국통신학회논문지
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    • 제35권8B호
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    • pp.1159-1169
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    • 2010
  • This paper introduces the mobility-adaptive QoE provisioning solution. The key is placed on the intelligent selection of access network depending on the QoE criteria classified by the user mobility and the bandwidth demand for service. We further focus on the network-based smart handover scheme using the mobility-adaptive handover decision and the enhanced MIH-FMIP framework. The concept is the network-based calm service and the balance in order to facilitate vertical and seamless handover. In result, it is figured out that our solution improves QoE performance by selecting appropriate access network, repressing handover occurrence, and reducing handover delay as well.

Enhancement OLSR Routing Protocol using Particle Swarm Optimization (PSO) and Genrtic Algorithm (GA) in MANETS

  • Addanki, Udaya Kumar;Kumar, B. Hemantha
    • International Journal of Computer Science & Network Security
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    • 제22권4호
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    • pp.131-138
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    • 2022
  • A Mobile Ad-hoc Network (MANET) is a collection of moving nodes that communicate and collaborate without relying on a pre-existing infrastructure. In this type of network, nodes can freely move in any direction. Routing in this sort of network has always been problematic because of the mobility of nodes. Most existing protocols use simple routing algorithms and criteria, while another important criterion is path selection. The existing protocols should be optimized to resolve these deficiencies. 'Particle Swarm Optimization (PSO)' is an influenced method as it resembles the social behavior of a flock of birds. Genetic algorithms (GA) are search algorithms that use natural selection and genetic principles. This paper applies these optimization models to the OLSR routing protocol and compares their performances across different metrics and varying node sizes. The experimental analysis shows that the Genetic Algorithm is better compared to PSO. The comparison was carried out with the help of the simulation tool NS2, NAM (Network Animator), and xgraph, which was used to create the graphs from the trace files.

SER-Based Relay Selection for Two-Way Relaying with Physical Layer Network Coding

  • Li, Dandan;Xiong, Ke;Qiu, Zhengding;Du, Guanyao
    • ETRI Journal
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    • 제35권2호
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    • pp.336-339
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    • 2013
  • To enhance the symbol error rate (SER) performance of the two-way relay channels with physical layer network coding, this letter proposes a relay selection scheme, in which the relay with the maximal minimum distance between different points in its constellation among all relays is selected to assist two-way transmissions. We give the closed-form expression of minimum distance for binary phase-shift keying and quadrature phase-shift keying. Additionally, we design a low-complexity method for higher-order modulations based on look-up tables. Simulation results show that the proposed scheme improves the SER performance for two-way relay networks.

Unsupervised learning with hierarchical feature selection for DDoS mitigation within the ISP domain

  • Ko, Ili;Chambers, Desmond;Barrett, Enda
    • ETRI Journal
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    • 제41권5호
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    • pp.574-584
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    • 2019
  • A new Mirai variant found recently was equipped with a dynamic update ability, which increases the level of difficulty for DDoS mitigation. Continuous development of 5G technology and an increasing number of Internet of Things (IoT) devices connected to the network pose serious threats to cyber security. Therefore, researchers have tried to develop better DDoS mitigation systems. However, the majority of the existing models provide centralized solutions either by deploying the system with additional servers at the host site, on the cloud, or at third party locations, which may cause latency. Since Internet service providers (ISP) are links between the internet and users, deploying the defense system within the ISP domain is the panacea for delivering an efficient solution. To cope with the dynamic nature of the new DDoS attacks, we utilized an unsupervised artificial neural network to develop a hierarchical two-layered self-organizing map equipped with a twofold feature selection for DDoS mitigation within the ISP domain.

Secure Cluster Selection in Autonomous Vehicular Networks

  • Mohammed, Alkhathami
    • International Journal of Computer Science & Network Security
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    • 제23권1호
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    • pp.11-16
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    • 2023
  • Vehicular networks are part of the next generation wireless and smart Intelligent Transportation Systems (ITS). In the future, autonomous vehicles will be an integral part of ITS and will provide safe and reliable traveling features to the users. The reliability and security of data transmission in vehicular networks has been a challenging task. To manage data transmission in vehicular networks, road networks are divided into clusters and a cluster head is selected to handle the data. The selection of cluster heads is a challenge as vehicles are mobile and their connectivity is dynamically changing. In this paper, a novel secure cluster head selection algorithm is proposed for secure and reliable data sharing. The idea is to use the secrecy rate of each vehicle in the cluster and adaptively select the most secure vehicle as the cluster head. Simulation results show that the proposed scheme improves the reliability and security of the transmission significantly.

Development of Energy-sensitive Cluster Formation and Cluster Head Selection Technique for Large and Randomly Deployed WSNs

  • Sagun Subedi;Sang Il Lee
    • Journal of information and communication convergence engineering
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    • 제22권1호
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    • pp.1-6
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    • 2024
  • Energy efficiency in wireless sensor networks (WSNs) is a critical issue because batteries are used for operation and communication. In terms of scalability, energy efficiency, data integration, and resilience, WSN-cluster-based routing algorithms often outperform routing algorithms without clustering. Low-energy adaptive clustering hierarchy (LEACH) is a cluster-based routing protocol with a high transmission efficiency to the base station. In this paper, we propose an energy consumption model for LEACH and compare it with the existing LEACH, advanced LEACH (ALEACH), and power-efficient gathering in sensor information systems (PEGASIS) algorithms in terms of network lifetime. The energy consumption model comprises energy-sensitive cluster formation and a cluster head selection technique. The setup and steady-state phases of the proposed model are discussed based on the cluster head selection. The simulation results demonstrated that a low-energy-consumption network was introduced, modeled, and validated for LEACH.

Maximizing Network Utilization in IEEE 802.21 Assisted Vertical Handover over Wireless Heterogeneous Networks

  • Pandey, Dinesh;Kim, Beom Hun;Gang, Hui-Seon;Kwon, Goo-Rak;Pyun, Jae-Young
    • Journal of Information Processing Systems
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    • 제14권3호
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    • pp.771-789
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    • 2018
  • In heterogeneous wireless networks supporting multi-access services, selecting the best network from among the possible heterogeneous connections and providing seamless service during handover for a higher Quality of Services (QoSs) is a big challenge. Thus, we need an intelligent vertical handover (VHO) decision using suitable network parameters. In the conventional VHOs, various network parameters (i.e., signal strength, bandwidth, dropping probability, monetary cost of service, and power consumption) have been used to measure network status and select the preferred network. Because of various parameter features defined in each wireless/mobile network, the parameter conversion between different networks is required for a handover decision. Therefore, the handover process is highly complex and the selection of parameters is always an issue. In this paper, we present how to maximize network utilization as more than one target network exists during VHO. Also, we show how network parameters can be imbedded into IEEE 802.21-based signaling procedures to provide seamless connectivity during a handover. The network simulation showed that QoS-effective target network selection could be achieved by choosing the suitable parameters from Layers 1 and 2 in each candidate network.

네트워크 보안을 위한 중계기 선택 기법 (A Relay Selection Scheme for Network Security)

  • 이병수;성길영;반태원
    • 한국정보통신학회논문지
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    • 제20권12호
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    • pp.2213-2218
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    • 2016
  • 본 논문은 복수 개의 중계기와 도청자가 존재하는 중계기 통신 네트워크에서 보안 오류 확률을 낮출 수 있는 새로운 중계기 선택 기법을 제안한다. 도청자의 복호 확률을 낮추기 위해서 데이터와 함께 재밍 신호를 전송하는 기존의 중계기 선택 방식에서는 수신자의 데이터 복호 확률도 낮아지는 문제점이 있었다. 본 논문에서 제안하는 새로운 중계기 선택 기법은 수신자의 복호 확률을 높이면서 동시에 도청자의 복호 확률을 낮출 수 있는 중계기를 쌍으로 선택하여 보안 오류 확률을 개선하였다. Monte-Carlo 기반 컴퓨터 시뮬레이션을 통한 성능 분석 결과에 따르면, 제안 중계기 선택 방식은 기존 중계기 선택 방식 대비 보안 오류 확률을 약 10~50배 개선시킬 수 있음을 확인하였다.