• Title, Summary, Keyword: smart sensor network

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Efficient Data Transmission Scheme with Data Fusion inside a Smart Vessel (Data Fusion 기술을 활용한 스마트선박 내 효율적 데이터 전송 방안)

  • Kim, Yeon-Geun;Lee, Seong Ro;Jeong, Min-A;Kim, Beom-Mu;Min, Sang-Won
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39C no.11
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    • pp.1146-1150
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    • 2014
  • Recently, there has been interests in smart vessel technology, and it needs to consider an intelligent control system for efficient vessel manangement. In a smart vessel, however, it can cause a network overload due to a number of data transmission from a variety of sensor nodes and bridge nodes. In this letter, we propose an data transmission scheme with data fusion to reduce the number of traffic from the sensor nodes. Hence it can decrease network overload for intelligent vessel management.

Implementation of Bistatic Backscatter Wireless Communication System Using Ambient Wi-Fi Signals

  • Kim, Young-Han;Ahn, Hyun-Seok;Yoon, Changseok;Lim, Yongseok;Lim, Seung-ok;Yoon, Myung-Hyun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.2
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    • pp.1250-1264
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    • 2017
  • This paper presents the architecture design, implement, experimental validation of a bistatic backscatter wireless communication system in Wi-Fi network. The operating principle is to communicate a tag's data by detecting the power level of the power modulated Wi-Fi packets to be reflected or absorbed by backscatter tag, in interconnecting with Wi-Fi device and Wi-Fi AP. This system is able to provide the identification and sensor data of tag on the internet connectivity without requiring extra device for reading data, because this uses an existing Wi-Fi AP infrastructure. The backscatter tag consists of Wi-Fi energy harvesting part and a backscatter transmitter/a power-detecting receiver part. This tag can operate by harvesting and generating energy from Wi-Fi signal power. Wi-Fi device decodes information of the tag data by recognizing the power level of the backscattered Wi-Fi packets. Wi-Fi device receives the backscattered Wi-Fi packets and generates the tag's data pattern in the time-series of channel state information (CSI) values. We believe that this system can be achieved wireless connectivity for ultra- low-power IoT and wearable device.

The Development of Ecobot Robot for Friendly Environment Smart Home Appliance Application System (친환경 스마트 가전 응용 시스템용 Ecobot 로봇 플랫폼 개발)

  • Moon, Yong-Seon;Bae, Young-Chul;Cha, Hyun-Rok;Roh, Sang-Hyun;Park, Jong-Kyu
    • The Journal of the Korea institute of electronic communication sciences
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    • v.5 no.4
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    • pp.480-485
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    • 2010
  • In this paper, we developed mobile robot platform called Ecobot for the application system of friendly environment smart home appliance. Ecobot fulfills the purposes of monitoring of the healthy environment and guidance in the application system of friendly smart environment home appliance, home network formed by Zigbee network. For the healthy environment, the system contains monitoring sensor. Moreover, it continuously keeps the healthy environment by controlling the smart home appliances linkng with Zigbee network. And also using the URG-04LX laser distance sensor, it monitors indoor environment through autonomous moving and collision avoidance.

Development of Estimated Model for Axial Displacement of Hybrid FRP Rod using Strain (Hybrid FRP Rod의 변형률을 이용한 축방향 변위추정 모형 개발)

  • Kwak, Kae-Hwan;Sung, Bai-Kyung;Jang, Hwa-Sup
    • Journal of The Korean Society of Civil Engineers
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    • v.26 no.4A
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    • pp.639-645
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    • 2006
  • FRP (Fiber Reinforced Polymer) is an excellent new constructional material in resistibility to corrosion, high intensity, resistibility to fatigue, and plasticity. FBG (Fiber Bragg Grating) sensor is widely used at present as a smart sensor due to lots of advantages such as electric resistance, small-sized material, and high durability. However, with insufficiency of measuring displacement, FBG sensor is used only as a sensor measuring physical properties like strain or temperature. In this study, FRP and FBG sensors are to be hybridized, which could lead to the development of a smart FRP rod. Moreover, developing the estimated model for deflection with neural network method, with the data measured through FBG sensor, could make conquest of a disadvantage of FBG sensor - uniquely used for sensing strain. Artificial neural network is MLP (Multi-layer perceptron), trained within error rate of 0.001. Nonlinear object function and back-propagation algorithm is applied to training and this model is verified with the measured axial displacement through UTM and the estimated numerical values.

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A Balanced Energy Consumption Strategy using a Smart Base Station in Wireless Sensor Networks (무선 센서 네트워크에서 스마트기지국을 이용한 균형된 에너지소비 방안)

  • Park, Sun-Young
    • Journal of Korea Multimedia Society
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    • v.17 no.4
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    • pp.458-465
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    • 2014
  • In this paper, we propose a strategy to distribute the energy consumption over the network. The proposed strategy is based on geographic routing. We use a smart base station that maintains the residual energy and location information of sensor nodes and selects a head node and an anchor node using this information. A head node gathers and aggregates data from the sensor nodes in a target region that interests the user. An anchor node then transmits the data that was forwarded from the head node back to the smart base station. The smart base station extends network lifetime by selecting an optimal head node and an optimal anchor node. We simulate the proposed protocol and compare it with the LEACH protocol in terms of energy consumption, the number of dead nodes, and a distribution map of dead node locations.

Autonomous smart sensor nodes for global and local damage detection of prestressed concrete bridges based on accelerations and impedance measurements

  • Park, Jae-Hyung;Kim, Jeong-Tae;Hong, Dong-Soo;Mascarenas, David;Lynch, Jerome Peter
    • Smart Structures and Systems
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    • v.6 no.5_6
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    • pp.711-730
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    • 2010
  • This study presents the design of autonomous smart sensor nodes for damage monitoring of tendons and girders in prestressed concrete (PSC) bridges. To achieve the objective, the following approaches are implemented. Firstly, acceleration-based and impedance-based smart sensor nodes are designed for global and local structural health monitoring (SHM). Secondly, global and local SHM methods which are suitable for damage monitoring of tendons and girders in PSC bridges are selected to alarm damage occurrence, to locate damage and to estimate severity of damage. Thirdly, an autonomous SHM scheme is designed for PSC bridges by implementing the selected SHM methods. Operation logics of the SHM methods are programmed based on the concept of the decentralized sensor network. Finally, the performance of the proposed system is experimentally evaluated for a lab-scaled PSC girder model for which a set of damage scenarios are experimentally monitored by the developed smart sensor nodes.

The Design of mBodyCloud System for Sensor Information Monitoring in the Mobile Cloud Environment

  • Park, Sungbin;Moon, Seok-Jae;Lee, Jong-Yong;Jung, Kye-Dong
    • International journal of advanced smart convergence
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    • v.5 no.1
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    • pp.1-7
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    • 2016
  • Recently, introduced a cloud computing technology to the IT industry, smart phones, it has become possible connection between mobility terminal such as a tablet PC. For dissemination and popularization of movable wireless terminal, the same operation have focused on a viable mobile cloud in various terminal. Also, it evolved Wireless Sensor Network(WSN) technology, utilizing a Body Sensor Network(BSN), which research is underway to build large Ubiquitous Sensor Network(USN). BSN is based on large-scale sensor networks, it integrates the state information of the patient's body, it has been the need to build a managed system. Also, by transferring the acquired sensor information to HIS(Hospital Information System), there is a need to frequently monitor the condition of the patient. Therefore, In this paper, possible sensor information exchange between terminals in a mobile cloud environment, by integrating the data obtained by the body sensor HIS and interoperable data DBaaS (DataBase as a Service) it will provide a base of mBodyCloud System. Therefore, to provide an integrated protocol to include the sensor data to a standard HL7(Health Level7) medical information data.

Implementation of Intelligent Home Network and u-Healthcare System based on Smart-Grid

  • Kim, Tae Yeun;Bae, Sang Hyun
    • Journal of the Chosun Natural Science
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    • v.9 no.3
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    • pp.199-205
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    • 2016
  • In this paper, we established ZIGBEE home network and combined smart-grid and u-Healthcare system. We assisted for amount of electricity management of household by interlocking home devices of wireless sensor, PLC modem, DCU and realized smart grid and u-Healthcare at the same time by verifying body heat, pulse, blood pressure change and proceeded living body signal by using SVM algorithm and variety of ZIGBEE network channel and enabled it to check real-time through IHD which is developed by user interface. In addition, we minimized the rate of energy consumption of each sensor node when living body signal is processed and realized Query Processor which is able to optimize accuracy and speed of query. We were able to check the result that is accuracy of classification 0.848 which is less accounting for average 17.9% of storage more than the real input data by using Mjoin, multiple query process and SVM algorithm.

Sensor Network Test Bed Construction using mica2 mote (Mica2 mote를 이용한 센서 네트워크 테스트 베드 구축)

  • 이윤경;박영수;전성익
    • Proceedings of the IEEK Conference
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    • pp.61-64
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    • 2003
  • Technological progress in integrated, low-power, CMOS communication devices and sensors makes a rich design space of networked sensors viable. These sensors can be deeply embedded in the physical world and spread throughout sensor network environment like smart dust. So ubiquitous computing will be come true. SmartDust project is the one of ubiquitous computing approach. It produces TinyOS, mote(mica, mica2, rene2, mica2dot, etc.), NesC, TinyDB, etc. We constructs sensor network test bed and tests to approach sensor network and ubiquitous computing.

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