• Journal of KIISE:Information Networking
• /
• v.35 no.2
• /
• pp.149-157
• /
• 2008

Since wireless sensor networks consist of nodes with the constrained battery, energy efficient MAC operation is one of the important issues. Low duty cycle operation is critical to conserve energy in wireless sensor network MAC protocol. Some paper proposed a new approach to low power listening, which employs a short preamble to further reduce energy consumption and to reduce latency. But short preamble suffers from unfair channel access problem since there was no consideration for contention between transmission nodes. Preamble counting proposes a solution to each of these problems by employing node selection information. Simulation results show that the preamble counting provides an improved energy efficiency and fairness of packet delivery.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.9 no.1
• /
• pp.34-49
• /
• 2015

Market means of spectrum trading have been utilized as a vital method of spectrum sharing and access in future cognitive radio system. In this paper, we consider the spectrum trading with multiple primary carrier providers (PCP) leasing the spectrum to multiple secondary carrier providers (SCP) for a short period of time. Several factors including the price of the resource, duration of leasing, and the spectrum quality guides the proposed model. We formulate three trading policies based on the game theory for dynamic spectrum access in a LTE based cognitive radio system (CRS). In the first, we consider utility function based resource sharing (UFRS) without any knowledge of past transaction. In the second policy, each SCP deals with PCP using a non-cooperative resource sharing (NCRS) method which employs optimal strategy based on reinforcement learning. In variation of second policy, third policy adopts a Nash bargaining while incorporating a recommendation entity in resource sharing (RERS). The simulation results suggest overall increase in throughput while maintaining higher spectrum efficiency and fairness.

• The Journal of Society for e-Business Studies
• /
• v.19 no.1
• /
• pp.43-61
• /
• 2014

This research is an application of game theory to developing the supplier selection and demand allocation mechanism, which are the essential and major research areas of supply chain planning and operation. In this research, the most popular and widely accepted mechanism, the progressive reverse auction is analyzed and compared with the other game theoretic approach, Kalai-Smorodinsky Bargaining Solution in the viewpoint of holistic efficiency of supply chain operation. To logically and exquisitely compare the efficiencies, a heuristic algorithm based on Genetic Algorithm is devised to find the other optimal demand allocation plan. A well known metric, profit-cost ratio, as well as profit functions for both suppliers and buyer has been designed for evaluating the overall profitability of supply chain. The experimental results with synthesis data and supply chain model which were made to mimic practical supply chain are illustrated and analyzed to show how the proposed approach can enhance the profitability of supply chain planning. Based on the result, it can be said that the proposed mechanism using bargainging solution mayguarantee the better profitability for the whole supply chin including both suppliers and buyer, even though quite small portion of buyer's profitability should be sacrified.

• Korean Journal of Construction Engineering and Management
• /
• v.12 no.3
• /
• pp.140-149
• /
• 2011

The government introduced private infrastructure projects in order to reduce its financial burden by introducing private sectors efficiency and creativity and by utilizing their funds. Through revision, the act on the private investment of the infrastructure, many changes were made in the private investment system. The evaluation task to assess the project proposer's capability and to select a promoter is regarded as the most important process for fairness and transparency of the project. In this study, the improvement of project plan evaluation task of current private infrastructure projects is proposed based on the standard guideline for evaluation procedure of private infrastructure projects provided by Korea Development Institute. In addition, software program for evaluation procedure is made to improve the efficiency and enableconvenient evaluation task.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.13 no.8
• /
• pp.1549-1560
• /
• 2009

In the TDMA PON system, the DBA is essential for ONUs to send data efficiently to the upstream. In this paper, we implement a DBA processor for the G-PON OLT with downstream and upstream rate, 2.5 and 1.25 Gbps, respectively, The processor collects bandwidth request messages from ONUs at every cycle time and allocates properly bandwidth to each Alloc-ID with considering priority and fairness for traffics. In the proposed DBA algorithm, one cycle time consists of multiple G-PON frames ($m{\times}125{\mu}s$) for high link efficiency. In particular, the link efficiency is higher because the algorithm adopts a method that an additional overhead is eliminated when an allocated bandwidth is laid between two G-PON frames for an ONU. This enables that the processor flexibly allocates the bandwidth from zero to the maximum link capacity for an ONU. The proposed DBA processor is implemented with the FPGA and shows bandwidth allocating processes for ONUs with logic analyzer.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.40 no.12
• /
• pp.2443-2449
• /
• 2015

Downlink (DL) data rate for a MS is influenced by not only the signal to interference and noise ratio (SINR) but also the amount of radio resources allocated to the MS. Therefore, when a MS uses SINR to select a cell to associate with, it cannot receive the fastest DL data rate all the time if it associates with a congested cell. Moreover, the SINR-based cell selection may result in cell loads unbalance, which decreases the efficiency of a network. To address the issue, we propose a novel cell selection method by considering not only SINR but also a cell load which are combined into two cell selection criteria. One is the maximum achievable data rate and the other is the minimum outage probability. The simulation results show that the cell selection based on the maximum achievable data rate is superior to the SINR-based method and the method using the minimum outage probability in terms of the system efficiency and the fairness in cell loads while the cell selection method based on the minimum outage probability is superior to the others in terms of the outage probability of a MS.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.11 no.1
• /
• pp.66-71
• /
• 2012

In this paper, using the bargaining game theory, we propose a bandwidth management scheme that allocates bandwidth in an efficient and proportionally fair manner between the service classes with different service requirements. Since the traffic input rates of the classes are asymmetric in most of the time, the proposed scheme allocates bandwidth in proportion to the traffic input rates to increase the bandwidth utilization while protecting the quality of service of a class against the excessive traffic input of the other classes. In addition, the proposed method considers the weights of classes so that the bandwidth is allocated differentially among the classes.

• Journal of Korea Port Economic Association
• /
• v.29 no.2
• /
• pp.1-17
• /
• 2013

This paper aims to review the fairness of carriers' incentive schemes at Gwangyang port in 2010 and to show the desirable incentive allocation rules using the proportional and egalitarian rules under cooperative game theory. The carriers' incentive schemes at Gwangyang port in 2010 did not meet the no-envy and the efficiency, and satisfy the symmetry axiom. According to the research findings, the equal surplus method satisfies the axioms of equity, efficiency, symmetry, and progressivity. However, the uniform losses method meets the axioms of equity, efficiency, symmetry, and regressivity. We use a single allocation criterion of the total throughput to show the regressivity and the symmetry principles into the incentive scheme instead of using multiple criteria such as total throughput, increased volume, and coastal volume. The uniform losses method based on the total throughput can distribute the incentive amount according to the intent of the incentive schemes. Hence, we need to establish a rationing system to allocate reasonably the total amount of different types of incentives, avoiding the temptation to adjust the volume shipped between the ports of carriers considering the efficiency of allocation.

• Journal of Satellite, Information and Communications
• /
• v.11 no.3
• /
• pp.123-126
• /
• 2016

Energy efficiency in heterogeneous network is considered as one of the main issues when deploying the wireless sensor network. In heterogeneous network, the random distribution of initial energy at each node could lead to an instability of the network. Therefore, a resonable policy must be established in order to maintain the fairness in energy consumption and extend the working time of each node in the network. In this paper, we evaluate the performance of the distributed clustering protocol (DCP) in heterogeneous network on different scenarios. Simulation results are compared with the results of a LEACH protocol in a heterogeneous network. In addition, the performance of system in heterogeneous network are also compared with the homogeneous network to illustrate the effect of imbalance in the initial energy on the life time of each node in the system. The result illustrates that the DCP protocol demonstrates better performance than LEACH protocol in both the heterogeneous and the homogeneous networks.

• The Journal of the Korea Contents Association
• /
• v.22 no.10
• /
• pp.627-641
• /
• 2022

Although CSV means pursuing social and economic values at the same time, research on consumer benefits recognized by consumers, the subject of economic value, is insufficient. The purpose of this study is to investigate the effect of CSV activities of financial companies on purchase intention through consumer benefits and psychological distance for consumers. 265 copies of survey data were collected, and the research hypothesis was verified using SPSS 25.0 and Smart PLS 3.0. As a result of the analysis, first, fairness and authenticity had a positive (+) effect on both social and personal benefits. Second, it was found that the social and personal benefits subjectively perceived by consumers had a positive (+) effect on both purchase intention. Third, it was found that the social benefits perceived by consumers through CSV activities of financial companies had a positive (+) effect on purchase intention through psychological distance, but the mediating effect of personal benefits was not significant. Based on these research results, practical proposals were made to increase the efficiency of CSV activities by grasping the effect of consumers and purchase intentions on CSV activities of financial companies, and conclusions, implications, and future research directions were presented.