• International Journal of Internet, Broadcasting and Communication
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• 제9권4호
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• pp.51-58
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• 2017

This paper deals with the improvement of cluster head selection method in L-SEP for heterogeneous nodes among hierarchical routing protocols of wireless sensor network. Wireless sensor networks are classified into homogeneous and heterogeneous network. In heterogeneous network, SEP, L-SEP are mainly used because cluster head selection probability is different depending on node type. But, since protocol based on SEP has different cluster head selection probabilities depending on the node type, clusters that transmit data inefficiently can be formed. to improve this, it is necessary to select the cluster head that minimizes the transmission distance of member node and the cluster head. Therefore, we propose a protocol that improve the cluster head selection method.

• 한국항행학회논문지
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• 제14권6호
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• pp.996-1001
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• 2010

본 논문에서는 Mobile IPTV의 서비스를 위한 네트워크 선택 알고리즘을 제안하고 처리속도가 낮은 단말기의 부하를 줄이기 위한 계층별 처리 시스템을 구현하였다. 제안한 알고리즘은 새로운 사용자가 네트워크에 접속할 때 잔여 대역폭, 네트워크 비용, 신호세기를 이용하는 계산식에서 나온 우선순위 값으로 네트워크를 선택한다. 처리속도가 낮은 단말기의 응용계층에서 네트워크 선택과 TV서비스 제공을 모두하면 시스템 부하로 서비스의 품질이 낮아지게 되므로 네트워크 선택과 TV 서비스기능을 계층별로 나누어 처리하는 시스템을 구현하였다. 실험결과 사용자가 직접 네트워크를 선택하는 방법에서는 대역폭 할당을 위한 대기시간이 존재하고, 대역폭을 모두 소진한 경우 대역폭 할당을 위한 대기 시간이 길어지는 반면 본 논문에서 제안한 우선순위를 이용한 네트워크 선택 알고리즘을 이용할 경우 여러 네트워크 중 상태가 좋은 네트워크를 선택하기 때문에 데이터 전송속도가 평균적으로 유지가 되고 대역폭 할당 대기시간이 낮아지는 것을 확인하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권1호
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• pp.68-86
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• 2015

Future wireless network aims to integrate different radio access networks (RANs) to provide a seamless access and service continuity. In this paper, a new resource denotation method is proposed in the WLAN and LTE heterogeneous networks based on a concept of spectral bandwidth mapping. This method simplifies the denotation of system resources and makes it possible to calculate system residual capacity, upon which an economic model-based network selection algorithm is designed in both under-loaded and over-loaded scenarios in the heterogeneous networks. The simulation results show that this algorithm achieves better performance than the utility function-based access selection (UFAS) method proposed in [12] in increasing system capacity and system revenue, achieving load balancing and reducing the new call blocking probability in the heterogeneous networks.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권12호
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• pp.4451-4466
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• 2014

We present joint radio selection and relay scheme that delivers data from a source to a sink in heterogeneous stationary sensor networks consisting of various radio interfaces. The proposed scheme finds the optimal relay nodes and their corresponding radio interfaces that minimize energy consumption throughout the network while satisfying the end-to-end packet deadline requirement. We formulate the problem of routing through radio interface selection into binary integer programs, and obtain the optimal solution by solving with an optimization solver. We examine a trade-off relationship between energy consumption and packet delay based on network level simulations. We show that given the end-to-end deadline requirement, our routing algorithm finds the most energy-efficient routing path and radio interface across mesh hops. We demonstrate that the proposed routing scheme exploits the given packet delivery time to turn into network benefit of reducing energy consumption compared to routing based on single radio interface.

• 품질경영학회지
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• 제37권4호
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• pp.1-9
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• 2009

Supplier selection process is one of the most important arenas of production and logistics management for many companies. This study explores the application of the analytic network process (ANP) approach for the evaluation of suppliers based on several different evaluation criteria. The ANP approach in this study is capable of providing priorities of suppliers that capture network relationships among several evaluation criteria which are not independent. Therefore this study provides value to practitioners by providing a generic model for supplier selection. In addition, for researchers, it demonstrates further research possibilities for more complex decision making problems using ANP.

• International Journal of Computer Science & Network Security
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• 제24권5호
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• pp.212-216
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• 2024

Feature Selection have turned into the main point of investigations particularly in bioinformatics where there are numerous applications. Deep learning technique is a useful asset to choose features, anyway not all calculations are on an equivalent balance with regards to selection of relevant features. To be sure, numerous techniques have been proposed to select multiple features using deep learning techniques. Because of the deep learning, neural systems have profited a gigantic top recovery in the previous couple of years. Anyway neural systems are blackbox models and not many endeavors have been made so as to examine the fundamental procedure. In this proposed work a new calculations so as to do feature selection with deep learning systems is introduced. To evaluate our outcomes, we create relapse and grouping issues which enable us to think about every calculation on various fronts: exhibitions, calculation time and limitations. The outcomes acquired are truly encouraging since we figure out how to accomplish our objective by outperforming irregular backwoods exhibitions for each situation. The results prove that the proposed method exhibits better performance than the traditional methods.

• Journal of Information Processing Systems
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• 제2권1호
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• pp.6-12
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• 2006

Peer-to-Peer (P2P) networks are attracting considerable research interest because of their scalability and high performance relative to cost. One of the important services on a P2P network is the streaming service. However, because each node in the P2P network is autonomous, it is difficult to provide a stable streaming service on the network. Therefore, for a stable streaming service on the P2P network, a fault-tolerant scheme must be provided. In this paper, we propose two new node selection schemes, Playback Node First (PNF) and Playback Node first with Prefetching (PNF-P) that can be used for a service migration-based fault-tolerant streaming service. The proposed schemes exploit the fact that the failure probability of a node currently being served is lower than that of a node not being served. Simulation results show that the proposed schemes outperform traditional node selection schemes.

• 한국인터넷방송통신학회논문지
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• 제11권6호
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• pp.15-21
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• 2011

애드혹 네트워크에서는 협동 다이버시티를 적용하여 네트워크의 전력소모를 줄이고, 통달거리의 확장 및 시스템의 성능을 향상시키고 있다. 그러나 가장 큰 신호 대 잡음비(SNR, Signal-to-noise ratio)을 갖는 릴레이를 선택하여 송신하는 선택 릴레이 협동 다이버시티 방식은 느린 페이딩 채널에서 특정 릴레이가 계속 송신하므로 네트워크의 생존시간을 줄이게 된다. 그러므로 최근에 네트워크의 생존 시간을 늘이기 위하여 균일전력 릴레이 선택방식이 연구되었다. 본 논문에서는 소스-릴레이 및 릴레이-목적지간의 수신 신호 대 잡음비가 일정수준 이상이 되는 릴레이를 선택하여 송신할 수 있는 하는 이중 기회전송 협동 다이버시티(DOT, Double opportunistic cooperative diversity) 시스템에 균일전력 릴레이 선택방식을 적용하고 시스템의 성능을 유도하였다. 유도한 결과는 선택결합(SC, Selection combining) 방식과 최대비 합성결합(MRC, Maximal ratio combining) 방식과 비교하였다. 균일전력 릴레이 방식을 사용하였을 때 다른 방식에 비해서 시스템의 성능저하가 있었는데, 이는 네트워크의 생존 시간을 늘이기 위해서 릴레이에 균일한 송신기회를 주었기 때문으로 해석되었다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제5권9호
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• pp.1513-1527
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• 2011

This paper investigates the capacity rate problems for a joint decode-and-forward (JDF) based two-way relaying with network coding. We first characterize the achievable rate region for a conventional three-node network scenario along with the calculation of the corresponding maximal sum-rate. Then, for the goal of maximizing the system sum-rate, opportunistic relay selection is examined for multi-relay networks. As a result, a novel strategy for the implementation of relay selection is proposed, which depends on the instantaneous channel state and allows a single best relay to help the two-way information exchange. The JDF scheme and the scheme using relay selection are analyzed in terms of outage probability, after which the corresponding exact expressions are developed over Rayleigh fading channels. For the purpose of comparison, outage probabilities of the amplify-and-forward (AF) scheme and those of the scheme using relay selection are also derived. Finally, simulation experiments are done and performance comparisons are conducted. The results verify that the proposed strategy is an appropriate method for the implementation of relay selection and can achieve significant performance gains in terms of outage probability regardless of the symmetry or asymmetry of the channels. Compared with the AF scheme and the scheme using relay selection, the conventional JDF scheme and that using relay selection perform well at low signal-to-noise ratios (SNRs).

• 한국항만경제학회지
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• 제25권2호
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• pp.1-24
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• 2009

본 연구는 네트워크 이론 관점을 통해 50개 글로벌 해운선사의 항만 선택 결정요인을 규명하기 위해 중국과 한국의 주요 항만을 대상으로 분석했다. Conditional Logit Model을 통한 분석 결과, 글로벌 해운선사는 항만 선택에 있어 역내보다는 글로벌 차원에서의 네트워크를 상대적으로 더 중요하게 고려함을 규명할 수 있었다. 글로벌 해운선사는 항만의 역내 네트워크 중심성이 클수록, 그리고 글로벌 네트워크 연계성과 중심성이 높을수록 해당 항만을 선택하는 것으로 나타났다. 특히 한국 항만과 중국 항만을 별도로 분석한 경우, 본 연구에서 사용한 변수의 유의도와 계수의 크기로 볼 때, 글로벌 선사들은 한국의 항만 보다는 중국 항만을 더 중요하게 생각하고 있다는 것을 알 수 있었다. 본 연구는 설문조사가 아닌 2차 자료를 활용하고, AHP 기법이 아닌 CLM 모형을 통해 항만 선택에 관한 연구를 최초로 시도했다는 점에서 연구의 의미를 가질 수 있다. 그러나 설문이 아닌 2차 자료를 통한 분석이기 때문에, 글로벌 선사의 항만선택에 정의 또는 부의 영향을 미칠 수 있는 규명 가능한 변수들을 충분히 포함시키지 못하고 있다는 한계를 안고 있다.