• Title/Summary/Keyword: network selection

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

  • Suh, Kyo;Lee, Jeong-Jae;Huh, Yoo-Man;Kim, Han-Joong;Yi, Ho-Jae
    • Journal of The Korean Society of Agricultural Engineers
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    • v.46 no.1
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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

  • Asaduzzaman, Asaduzzaman;Kong, Hyung-Yun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.2A
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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
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.8B
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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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    • v.22 no.4
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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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    • v.35 no.2
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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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    • v.41 no.5
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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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    • v.23 no.1
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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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    • v.22 no.1
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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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    • v.14 no.3
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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.

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

  • Lee, Byeong Su;Sung, Kil-Young;Ban, Tae-Won
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.12
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    • pp.2213-2218
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    • 2016
  • In this paper, we propose a new relay selection scheme which can decrease the secrecy outage probability in a relay communication network with multiple relays and an eavesdropper. In the conventional relay selection scheme, a relay transmits jamming signal toward an eavesdropper to decrease the successful decoding probability of the eavesdropper. The coventional scheme has a critical problem that the successful decoding probability of a receiver also decreases. The new relay selection scheme proposed in this paper can significantly enhance the secrecy outage probability by selecting a pair of relays which can increase the successful decoding probability of the receiver while decreasing the successful decoding probability of the eavesdropper. We performed extensive computer simulation based on Monte-Carlo. The simulation results reveal that the proposed relay selection scheme can improve the secrecy outage probability by 10 to 50 times compared to the existing relay selection scheme.