• Title/Summary/Keyword: low power network

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A New Green Clustering Algorithm for Energy Efficiency in High-Density WLANs

  • Lu, Yang;Tan, Xuezhi;Mo, Yun;Ma, Lin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.2
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    • pp.326-354
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    • 2014
  • In this paper, a new green clustering algorithm is proposed to be as a first approach in the framework of an energy efficient strategy for centralized enterprise high-density WLANs. Traditionally, in order to maintain the network coverage, all the APs within the WLAN have to be powered-on. Nevertheless, the new algorithm can power-off a large proportion of APs while the coverage is maintained as its always-on counterpart. The two main components of the new approach are the faster procedure based on K-means and the more accurate procedure based on Evolutionary Algorithm (EA), respectively. The two procedures are processes in parallel for different designed requirements and there is information interaction in between. In order to implement the new algorithm, EA is applied to handle the optimization of multiple objectives. Moreover, we adapt the method for selection and recombination, and then introduce a new operator for mutation. This paper also presents simulations in scenarios modeled with ray-tracing method and FDTD technique, and the results show that about 67% to 90% of energy consumption can be saved while it is able to maintain the original network coverage during periods when few users are online or the traffic load is low.

All Optical Header Recognition for Information Processing of Packet by Packet in The Access Network based on FTTH (FTTH 기반의 가입자망에 있어 패킷단위의 정보처리를 위한 전광학 헤더 인식)

  • Park, Ki-Hwan
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.47 no.1
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    • pp.69-76
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    • 2010
  • We describe an all-optical circuit which recognizes the header information of packet-by-packet in the access networks based on FTTH. The circuit's operation is confirmed by an experiment in the recognition of 3 and 4 header bits. The output from the header recognition circuit appears in a signal assigned in the time axis according to the header information. The recognition circuit of header for self-routing has a very simple structure using only delay lines and switches. The circuit is expected that it can be constructed of the high reliability and the low cost. Also, the circuit can solve the problems of the power loss and private security which is the weak point of the TDM-PON method by being established a unique transmission line to each subscriber.

IoT Delegate: Smart Home Framework for Heterogeneous IoT Service Collaboration

  • Kum, Seung Woo;Kang, Mingoo;Park, Jong-Il
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.8
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    • pp.3958-3971
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    • 2016
  • With Internet of Things (IoT) technology, home environment becomes smarter than ever. Not only smart devices such as smart phone or smart TV, but also various IoT devices including sensor, smart thermostat, and smart scale has now become very common on the market. These devices have connectivity to the Internet, so that user can read data from the device or control the device using Internet technology. However, due to diversity of smart home requirements, device collaboration in smart home remains a challenging task still. Usually smart home is built with various technologies to fulfill its own purpose, and these purposes cover very wide area from controlling low-power sensor devices to controlling high-performance devices like smart TV and smart phone. This variety of smart home requirements makes smart home very complicated due to mixed network architecture, protocol and technology. In this paper, a framework to enable managing and collaborating heterogeneous IoT devices in smart home environment is proposed. Several programming models are defined in the proposed framework to make application development for heterogeneous devices more intuitive. The proposed framework has been implemented as a web service, and a case study with real-world smart home IoT devices is presented.

Pulse wave analysis system using wrist type oximeter for u-Health service (u-Health 서비스 지원을 위한 착용형 옥시미터를 이용한 맥파 분석 시스템)

  • Jung, Sang-Joong;Seo, Yong-Su;Chung, Wan-Young
    • Journal of Sensor Science and Technology
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    • v.19 no.1
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    • pp.17-24
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    • 2010
  • This paper describes a real time reliable monitoring method and analysis system using wrist type oximeter for ubiquitous healthcare service based on IEEE 802.15.4 standard. Photoplethysmograph(PPG) is simple and cost effective technique to measure blood volume change. In order to obtain and monitor physiological body signals continuously, a small size and low power consumption wrist type oximeter is designed for the measurement of oxygen saturation of a patient unobtrusively. The measured data is transferred to a central PC or server computer by using wireless sensor nodes in wireless sensor network for storage and analysis purposes. LabVIEW server program is designed to monitor stress indicator from heart rate variability(HRV) and process the measured PPG to accelerated plethysmograph(APG) by appling second order derivatives in server PC. These experimental results demonstrate that APG can precisely describe the features of an individual's PPG and be used as estimation of vascular elasticity for blood circulation.

Inspection of the spot welding using IR sensor (적외선 감지 센서를 이용한 점 용접부의 검사)

  • Lim, Dae-Cheol;Park, In-Tae;Kang, Hyoung-Shik;Gweon, Dae-Gab
    • Journal of the Korean Society for Precision Engineering
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    • v.16 no.1 s.94
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    • pp.132-140
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    • 1999
  • This paper suggests a monitoring method for the pulsed laser spot welding of the thin metal sheets using a point IR(InfraRed) sensor. A new criterion was introduced and the experimental results guaranteed the efficiency. The ideal radiation feature was derived from the mathematical model and was simulated. The radiation feature is robust to withstand the change of measuring condition and can be used to detect the absorbed laser energy. In an experiment, the radiation feature was examined for the differect laser energy. The pulse width and the laser power was variated and the radiation feature was examined. In the other experiment, the relationship between the weld strength and radiation feature was examined. Artificial Neural Network(ANN) was employed to find out the relationship. The correlation coefficient between the real strength and the estimated strength is high as 0.94 and the mean square error is low as 0.64 kgf learned parts. Another group of the welds was used to appraise the learning efficiency. The correlation coefficient between the measured and the estimated weld strength is high as 0.91.

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A Holistic Approach to Optimizing the Lifetime of IEEE 802.15.4/ZigBee Networks with a Deterministic Guarantee of Real-Time Flows

  • Kim, Kang-Wook;Park, Myung-Gon;Han, Junghee;Lee, Chang-Gun
    • Journal of Computing Science and Engineering
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    • v.9 no.2
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    • pp.83-97
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    • 2015
  • IEEE 802.15.4 is a global standard designed for emerging applications in low-rate wireless personal area networks (LR-WPANs). The standard provides beneficial features, such as a beacon-enabled mode and guaranteed time slots for realtime data delivery. However, how to optimally operate those features is still an open issue. For the optimal operation of the features, this paper proposes a holistic optimization method that jointly optimizes three cross-related problems: cluster-tree construction, nodes' power configuration, and duty-cycle scheduling. Our holistic optimization method provides a solution for those problems so that all the real-time packets can be delivered within their deadlines in the most energy-efficient way. Our simulation study shows that compared to existing methods, our holistic optimization can guarantee the on-time delivery of all real-time packets while significantly saving energy, consequently, significantly increasing the lifetime of the network. Furthermore, we show that our holistic optimization can be extended to take advantage of the spatial reuse of a radio frequency resource among long distance nodes and, hence, significantly increase the entire network capacity.

Communication Optimization for Energy-Efficient Networks-on-Chips (저전력 네트워크-온-칩을 위한 통신 최적화 기법)

  • Shin, Dong-Kun;Kim, Ji-Hong
    • Journal of KIISE:Computer Systems and Theory
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    • v.35 no.3
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    • pp.120-132
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    • 2008
  • Networks-on-Chip (NoC) is emerging as a practical development platform for future systems-on-chip products. We propose an energy-efficient static algorithm which optimizes the energy consumption of task communications in NoCs with voltage scalable links. In order to find optimal link speeds, the proposed algorithm (based on a genetic formulation) globally explores the design space of NoC-based systems, including network topology, task assignment, tile mapping, routing path allocation, task scheduling and link speed assignment. Experimental results show that the proposed design technique can reduce energy consumption by 28% on average compared with existing techniques.

Performance evaluation between node-based CDS and energy-based CDS (노드 기준과 에너지 기준의 CDS 구성에 따른 성능 비교)

  • Ha, Deok-kyu;Song, Young-jun;Kim, Dong-woo;Lee, In-sung
    • Proceedings of the Korea Contents Association Conference
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    • 2009.05a
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    • pp.851-855
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    • 2009
  • Constructing CDS in wireless ad-hoc network, it is necessary to make more efficient algorithm that is fast, simple and has low power consumption. It is worried about losing data which brought a bottleneck state from confliction and delay when the nodes are concentrated or CDS is reconstructed. So, after constructing most efficient CDS, It is better not to reconstruct CDS in moveless wireless ad-hoc network. In this paper, we compared and estimated the performance in each situation of a CDS construction algorithm based on Node degree and Energy level.

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Implementation of an RFID Key Management System for DASH7

  • Vegendla, Aparna;Seo, Hwajeong;Lee, Donggeon;Kim, Howon
    • Journal of information and communication convergence engineering
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    • v.12 no.1
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    • pp.19-25
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    • 2014
  • The wireless sensor networking standard DASH7 operates in low-power communication with a better transmission quality in active RFID networks. The DASH7 security standard supports public key cryptography. At present, the DASH7 standard uses the message authentication code in the network layer for authentication and integrity. However, its security standard is still in an incubation stage with respect to the implementation of a crypto exchange over a DASH7 network. Effective key management is an important factor for privacy and security. If organizations are not careful about where and how keys are stored, they leave the encrypted data vulnerable to theft. In this regard, we present a key management system designed for efficient key management through public key infrastructure authentication as well as a non-repudiation feature for the DASH7 standard. We analyze the performance of the proposed system on a basis of various performance criteria such as latency and throughput.

A Study on the Algorithm for Fault Discrimination in Transmission Lines Using Neural Network and the Variation of Fault Currents (신경회로망과 고장전류의 변화를 이용한 고장판별 알고리즘에 관한 연구)

  • Yeo, Sang-Min;Kim, Chul-Hwan;Choi, Myeon-Song;Song, Oh-Young
    • Proceedings of the KIEE Conference
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    • 2000.07a
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    • pp.366-368
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    • 2000
  • When faults occur in transmission lines, the classification of faults is very important. If the fault is HIF(High Impedance Fault), it cannot be detected or removed by conventional overcurrent relays (OCRs), and results in fire hazards and causes damages in electrical equipment or personal threat. The fast discrimination of fault needs to effective protection and treatment and is important problem for power system protection. This paper proposes the fault detection and discrimination algorithm for LIFs(Low Impedance Faults) and HIFs(High Impedance Faults). This algorithm uses artificial neural networks and variation of 3-phase maximum currents per period while faults. A double lines-to-ground and line-to-line faults can be detected using Neural Network. Also, the other faults can be detected using the value of variation of maximum current. Test results show that the proposed algorithms discriminate LIFs and HIFs accurately within a half cycle.

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