• Title/Summary/Keyword: Cognitive Engineering

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A Cognitive Radio based for Smart Grid AMI Network using Adaptive Algorithm

  • Thapa, Prakash;Acharya, Shree Krishna;Paik, Jong-Gil;Choi, Sang-Gil;Jun, Hae-Ji;Kim, Seong-Whan;Lee, Seong Ro;Lee, Yeonwoo
    • International Journal of Internet, Broadcasting and Communication
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    • v.8 no.3
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    • pp.69-77
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    • 2016
  • Maximum utilization of unused license spectrum is one of key factor in cognitive radio network which can handle the large number of systems and devices connected on smart grid AMI network. The central intelligence control system has responsibility to accept new technologies and users for automation. To ensure a reliable communication in smart grid system through cognitive network, a minimum mean square error (MSE) signal using unused licensed spectrum (or frequency) is necessary to be detected with small decision error. In this paper, we introduce a user control wireless smart grid system with minimum MSE using LMS algorithm.

Social Incentives for Cooperative Spectrum Sensing in Distributed Cognitive Radio Networks

  • Feng, Jingyu;Lu, Guangyue;Min, Xiangcen
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.2
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    • pp.355-370
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    • 2014
  • Cooperative spectrum sensing has been considered as a promising approach to improve the sensing performance in distributed cognitive radio networks. However, there may exist some selfish secondary users (SUs) who are unwilling to cooperate. The presence of selfish SUs could cause catastrophic damage to the performance of cooperative spectrum sensing. Following the social perspective, we propose a Social Tie-based Incentive Scheme (STIS) to deal with the selfish problem for cooperative spectrum sensing in distributed cognitive radio networks. This scheme inspires SUs to contribute sensing information for the SUs who have social tie but not others, and such willingness varies with the strength of social tie value. The evaluation of each SU's social tie derives from its contribution for others. Finally, simulation results validate the effectiveness of the proposed scheme.

Joint Scheduling and Flow Control for Multi-hop Cognitive Radio Network with Spectrum Underlay

  • Quang, Nguyen Tran;Dang, Duc Ngoc Minh;Hong, Choong-Seon
    • Proceedings of the Korean Information Science Society Conference
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    • 2012.06d
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    • pp.297-299
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    • 2012
  • In this paper, we introduce a joint flow control and scheduling algorithm for multi-hop cognitive radio networks with spectrum underlay. Our proposed algorithm maximizes the total utility of secondary users while stabilizing the cognitive radio network and still satisfies the total interference from secondary users to primary network is less than an accepted level. Based on Lyapunov optimization technique, we show that our scheme is arbitrarily close to the optimal.

An Integrated Game Theoretical Approach for Primary and Secondary Users Spectrum Sharing in Cognitive Radio Networks

  • Kim, Jong-Gyu;Nguyen, Khanh-Huy;Lee, Jung-Tae;Hwang, Won-Joo
    • Journal of Korea Multimedia Society
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    • v.14 no.12
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    • pp.1549-1558
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    • 2011
  • In this paper, we address the problem of bandwidth sharing among multiple primary users and multiple secondary users in a cognitive radio network. In cognitive radio networks, effective spectrum assignment for primary and secondary users is a challenge due to the available broad range of radio frequency spectrum as well as the requisition of harmonious coexistence of both users. To handle this problem, firstly, Bertrand game model is used to analyze a spectrum pricing in which multiple primary users emulate with each other to acquire maximal profit. After that, we employ Cournot game to model the spectrum sharing of secondary users to obtain optimal profit for each user also. Simulation results show that our scheme obtains optimal solution at Nash equilibrium.

Transmission Power-Based Spectrum Sensing for Cognitive Ad Hoc Networks

  • Choi, Hyun-Ho
    • Journal of information and communication convergence engineering
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    • v.12 no.2
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    • pp.97-103
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    • 2014
  • In spectrum sensing, there is a tradeoff between the probability of missed detection and the probability of a false alarm according to the value of the sensing threshold. Therefore, it is important to determine the sensing threshold suitable to the environment of cognitive radio networks. In this study, we consider a cognitive radio-based ad hoc network where secondary users directly communicate by using the same frequency band as the primary system and control their transmit power on the basis of the distance between them. First, we investigate a condition in which the primary and the secondary users can share the same frequency band without harmful interference from each other, and then, propose an algorithm that controls the sensing threshold dynamically on the basis of the transmit power of the secondary user. The analysis and simulation results show that the proposed sensing threshold control algorithm has low probabilities of both missed detection and a false alarm and thus, enables optimized spectrum sharing between the primary and the secondary systems.

A Distributed Medium Access Control Protocol for Cognitive Radio Ad Hoc Networks

  • Joshi, Gyanendra Prasad;Kim, Sung Won;Kim, Changsu;Nam, Seung Yeob
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.1
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    • pp.331-343
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    • 2015
  • We propose a distributed medium access control protocol for cognitive radio networks to opportunistically utilize multiple channels. Under the proposed protocol, cognitive radio nodes forecast and rank channel availability observing primary users' activities on the channels for a period of time by time series analyzing using smoothing models for seasonal data by Winters' method. The proposed approach protects primary users, mitigates channel access delay, and increases network performance. We analyze the optimal time to sense channels to avoid conflict with the primary users. We simulate and compare the proposed protocol with the existing protocol. The results show that the proposed approach utilizes channels more efficiently.

A Study of Automotive IP Design based on the Driver's Cognitive Characteristics (운전자의 인지특성을 고려한 자동차 IP 설계에 관한 연구)

  • Kang, Seon-Mo;Paik, Seung-Youl;Park, Peom
    • Science of Emotion and Sensibility
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    • v.1 no.2
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    • pp.81-91
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    • 1998
  • 운전자의 안전과 감성적 요구사항이 중요시 되는 차세대 자동차의 IP(Instrument Panel) 설계를 위해 운전자으 인지특성을 고려하였다. 오디어 유닛과 HVAC(Heat, Ventilation and Air Condition)등의 주요 IP 구성요소 설계에 중점을 두었으며, 운전자의 인지특성과 가장부합하는 형태의 IP를 도출하기 위해 인지실험을 실시하였다. 첫 번째로, 기존의 차량에 설계된 IP 궁성요소를 분석하였으며, 이를 바탕으로 버튼의 수와 배열, LCD패널의 위치등을 조합하여 총 16개의 IP 프로토타입을 제작하였다. 다음으로, 제작된 프로타입을 각각 0.2, 0.4, 0.6초의 간격으로 Tachisto scope를 이용하여 피실험자에게 제시한후, 인간의 인지 지도(Human cognitive Map)에 근거한 '그리가 방법(Drawing Method)'을 이용하여 그들의 단기기억(Short-term Memory)상의 정보를 주어진 답안지에 그리도록 하였다. 이 인지실험의 다구찌 분석을 통하여 운전자의 인지특성을 고려한 최적의 IP형태를 제시하였다.

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Analysis on the Characteristics of Cognitive & Affective Learning Style of Engineering University Students (공과대학생의 인지적.정의적 학습양식 특성 분석)

  • Kim, Eun Jeong
    • Journal of Engineering Education Research
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    • v.17 no.6
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    • pp.20-29
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    • 2014
  • The purpose of this study is to analyze the traits on the cognitive and affective learning style of university students. CALSIU(The Cognitive & Affective Learning Style Inventory for University School Students) by Kim, E. J. was modified for applying to university students and performed with 399 university students from three universities in Daejeon and Chungnam. Statistical analysis done in this study were ANOVA and Scheffe's test. Findings of the study are as follows : First, the students with high academic achievements have intuitive perception type, whole processing type, and deep storage & recall type. Secondly, the students with low academic achievement have strong non-academic learning type. Third, interaction attitude of affective learning styles is the important element to determine their academic achievement. The students with independent type get high academic achievements. Therefore, instructor should consider the learning styles of students, and it should be used to improve their teaching & learning strategy for better academic achievements of university students.

Optimal Power Allocation and Relay Selection for Cognitive Relay Networks using Non-orthogonal Cooperative Protocol

  • Lan, Peng;Chen, Lizhen;Zhang, Guowei;Sun, Fenggang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.5
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    • pp.2047-2066
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    • 2016
  • In this paper, we investigate joint power allocation and relay selection (PARS) schemes in non-orthogonal cooperative protocol (NOCP) based cognitive relay networks. Generally, NOCP outperforms the orthogonal cooperative protocol (OCP), since it can provide more transmit diversity. However, most existing PARS schemes in cognitive relay networks focus on OCP, which are not suitable for NOCP. In the context of NOCP, we first derive the joint constraints of transmit power limit for secondary user (SU) and interference constraint for primary user (PU). Then we formulate optimization problems under the aforementioned constraints to maximize the capacity of SU in amplify-and-forward (AF) and decode-and-forward (DF) modes, respectively. Correspondingly, we derive the closed form solutions with respect to different parameters. Numerical results are provided to verify the performance improvement of the proposed PARS schemes.

A Dynamic QoS Model for improving the throughput of Wideband Spectrum Sharing in Cognitive Radio Networks

  • Manivannan, K.;Ravichandran, C.G.;Durai, B. Sakthi Karthi
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.11
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    • pp.3731-3750
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    • 2014
  • This paper considers a wideband cognitive radio network (WCRN) which can simultaneously sense multiple narrowband channels and thus aggregate the detected available channels for transmission and studies the ergodic throughput of the WCRN that operated under: the wideband sensing-based spectrum sharing (WSSS) scheme and the wideband opportunistic spectrum access (WOSA) scheme. In our analysis, besides the average interference power constraint at PU, the average transmit power constraint of SU is also considered for the two schemes and a novel cognitive radio sensing frame that allows data transmission and spectrum sensing at the same time is utilized, and then the maximization throughput problem is solved by developing a gradient projection method. Finally, numerical simulations are presented to verify the performance of the two proposed schemes.