• Title, Summary, Keyword: Sensor Network

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Sensor Node Design based on State Transition Model (상태천이모델 기반의 센서 노드 설계)

  • Shin, DongHyun;Kim, Changhwa
    • Journal of Korea Multimedia Society
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    • v.20 no.8
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    • pp.1357-1368
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    • 2017
  • Sensor networks are used in various fields such as marine, defense, and smart home etc. Among the components of the sensor network, the sensor node collects sensor data, as one of the representative sensor network roles, and the sensor node makes a greate influence on the overall performance of the sensor network. Therefore, how to design the sensor node is an important issue in the sensor network field. However, the research on the sensor network architecture suitable for the sensor network installation environment has been made more important than the research on how to configure the sensor node. In this paper, we propose to identify elements to be considered for designing a sensor node that makes a large influence on the performance of the sensor network, and to easily implement the sensor node through the state transition model based on these elements.

A Study on Efficient Energy Saving Protocol in Ubiquitous Sensor Network (유비쿼터스 센서 네트워크 환경 하에서 효율적인 에너지 절약형 프로토콜에 관한 연구)

  • OH, Gi Oug;Park, Mi Ok
    • Journal of the Korea Society of Computer and Information
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    • v.18 no.10
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    • pp.121-128
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    • 2013
  • Existing sensor network studies have only emphasized energy aspects that sensors themselves had. But when an actual sensor network is established, biased use of a specific sensor may cause a partial disconnection of the sensor network. It becomes an disadvantage to fail efficient operation of the sensor network for a long time and energy efficiency of specific sensor energy causes to drop the efficiency of the sensor network. When a sensor network is composed of many clusters or made up of a large network, sensor network's disconnection cannot be avoided because they emphasize sensor's energy efficiency. Therefore, it was tried to lengthen the lifespan of the sensor network by making sensors in the sensor network avoid disconnection through even use of all the sensors composing of the sensor network. This article proposes a protocol to maintain a sensor network for a long time by preventing a sensor networks' disconnection through efficient management of sensor network energy composed of the protocols composing of the sensor network in ubiquitous environments.

The proposal of the energy efficiency sensor network using directional antennas (방향성 안테나를 이용한 에너지 효율적인 센서 네트워크의 제안)

  • Kim, Kyung-Kuen;Jung, Won-Soo;Oh, Young-Hwan
    • Proceedings of the KIEE Conference
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    • pp.351-352
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    • 2007
  • The sensor networking technique as the radio network which does not have the base infrastructure network. The sensor nodes oneself automatic compose the network and simultaneously accomplish two roles of the router and data source. The sensor network is kind of Ad-hoc network is a possibility of seeing from point. sensor networking technique is restricted that limit of the memory and the battery back with the resources of the node. The sensor nodes overcomes the restriction of the resources it is in the process of researching the multi-hop routing technique which the sensor network divided cluster routing techniques which are researched. this paper proposed using beamforming antenna which has the directivity of the electric wave. the beamforming antenna from the Ad-hoc network using technique. the proposal is that raises the efficient of data trans mission from the sensor network and extends the lift time of the sensor network.

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COSMOS: A Middleware for Integrated Data Processing over Heterogeneous Sensor Networks

  • Kim, Ma-Rie;Lee, Jun-Wook;Lee, Yong-Joon;Ryou, Jae-Cheol
    • ETRI Journal
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    • v.30 no.5
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    • pp.696-706
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    • 2008
  • With the increasing need for intelligent environment monitoring applications and the decreasing cost of manufacturing sensor devices, it is likely that a wide variety of sensor networks will be deployed in the near future. In this environment, the way to access heterogeneous sensor networks and the way to integrate various sensor data are very important. This paper proposes the common system for middleware of sensor networks (COSMOS), which provides integrated data processing over multiple heterogeneous sensor networks based on sensor network abstraction called the sensor network common interface. Specifically, this paper introduces the sensor network common interface which defines a standardized communication protocol and message formats used between the COSMOS and sensor networks.

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Algorithm for Reducing the Effect of Network Delay of Sensor Data in Network-Based AC Motor Drives

  • Chun, Tae-Won;Ahn, Jung-Ryol;Lee, Hong-Hee;Kim, Heung-Geun;Nho, Eui-Cheol
    • Journal of Power Electronics
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    • v.11 no.3
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    • pp.279-284
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    • 2011
  • Network-based controls for ac motor drive systems are becoming increasingly important. In this paper, an ac motor control system is implemented by a motor control module and three sensor modules such as a voltage sensor module, a current sensor module, and an encoder module. There will inevitably be network time delays from the sensor modules to the motor control system, which often degrades and even destabilizes the motor drive system. As a result, it becomes very difficult to estimate the network delayed ac sensor data. An algorithm to reduce the effects of network time delays on sensor data is proposed, using both a synchronization signal and a simple method for estimating the sensor data. The algorithm is applied to a vector controlled induction motor drive system, and the performance of the proposed algorithm is verified with experiments.

An Efficient Implementation of Key Frame Extraction and Sharing in Android for Wireless Video Sensor Network

  • Kim, Kang-Wook
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.9 no.9
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    • pp.3357-3376
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    • 2015
  • Wireless sensor network is an important research topic that has attracted a lot of attention in recent years. However, most of the interest has focused on wireless sensor network to gather scalar data such as temperature, humidity and vibration. Scalar data are insufficient for diverse applications such as video surveillance, target recognition and traffic monitoring. However, if we use camera sensors in wireless sensor network to collect video data which are vast in information, they can provide important visual information. Video sensor networks continue to gain interest due to their ability to collect video information for a wide range of applications in the past few years. However, how to efficiently store the massive data that reflect environmental state of different times in video sensor network and how to quickly search interested information from them are challenging issues in current research, especially when the sensor network environment is complicated. Therefore, in this paper, we propose a fast algorithm for extracting key frames from video and describe the design and implementation of key frame extraction and sharing in Android for wireless video sensor network.

Building structural health monitoring using dense and sparse topology wireless sensor network

  • Haque, Mohammad E.;Zain, Mohammad F.M.;Hannan, Mohammad A.;Rahman, Mohammad H.
    • Smart Structures and Systems
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    • v.16 no.4
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    • pp.607-621
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    • 2015
  • Wireless sensor technology has been opened up numerous opportunities to advanced health and maintenance monitoring of civil infrastructure. Compare to the traditional tactics, it offers a better way of providing relevant information regarding the condition of building structure health at a lower price. Numerous domestic buildings, especially longer-span buildings have a low frequency response and challenging to measure using deployed numbers of sensors. The way the sensor nodes are connected plays an important role in providing the signals with required strengths. Out of many topologies, the dense and sparse topologies wireless sensor network were extensively used in sensor network applications for collecting health information. However, it is still unclear which topology is better for obtaining health information in terms of greatest components, node's size and degree. Theoretical and computational issues arising in the selection of the optimum topology sensor network for estimating coverage area with sensor placement in building structural monitoring are addressed. This work is an attempt to fill this gap in high-rise building structural health monitoring application. The result shows that, the sparse topology sensor network provides better performance compared with the dense topology network and would be a good choice for monitoring high-rise building structural health damage.

Application of Sensor Fault Detection Scheme Based on AANN to Sensor Network (AANN-기반 센서 고장 검출 기법의 센서 네트워크에의 적용)

  • Lee, Young-Sam;Kim, Sung-Ho
    • Proceedings of the KIEE Conference
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    • pp.229-231
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    • 2006
  • NLPCA(Nonlinear Principal Component Analysis) is a novel technique for multivariate data analysis, similar to the well-known method of principal component analysis. NLPCA operates by a feedforward neural network called AANN(Auto Associative Neural Network) which performs the identity mapping. In this work, a sensor fault detection system based on NLPCA is presented. To verify its applicability, simulation study on the data supplied from sensor network is executed.

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Human Motion Tracking With Wireless Wearable Sensor Network: Experience and Lessons

  • Chen, Jianxin;Zhou, Liang;Zhang, Yun;Ferreiro, David Fondo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.7 no.5
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    • pp.998-1013
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    • 2013
  • Wireless wearable sensor networks have emerged as a promising technique for human motion tracking due to the flexibility and scalability. In such system several wireless sensor nodes being attached to human limb construct a wearable sensor network, where each sensor node including MEMS sensors (such as 3-axis accelerometer, 3-axis magnetometer and 3-axis gyroscope) monitors the limb orientation and transmits these information to the base station for reconstruction via low-power wireless communication technique. Due to the energy constraint, the high fidelity requirement for real time rendering of human motion and tiny operating system embedded in each sensor node adds more challenges for the system implementation. In this paper, we discuss such challenges and experiences in detail during the implementation of such system with wireless wearable sensor network which includes COTS wireless sensor nodes (Imote 2) and uses TinyOS 1.x in each sensor node. Since our system uses the COTS sensor nodes and popular tiny operating system, it might be helpful for further exploration in such field.

A Medium Access Control Scheme for Reducing Energy Consumption through Avoiding Receipt of Redundant Messages in Wireless Sensor Networks (무선 센서 네트워크에서 중복 메세지 순신 회피를 통한 에너지 소비절감 매체 접근 제어)

  • Han, Jung-An;Lee, Moon-Ho
    • Journal of Information Technology Applications and Management
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    • v.12 no.4
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    • pp.13-24
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    • 2005
  • The sensor network is a key component of the ubiquitous computing system which is expected to be widely utilized in logistics control, environment/disaster control, medical/health-care services, digital home and other applications. Nodes in the sensor network are small-sized and exposed to adverse environments. They are demanded to perform their missions with very limited power supply only. Also the sensor network is composed of much more nodes than the wireless ad hoc networks are. In case that some nodes consume up their power capacity, the network topology should change, and rerouting/retransmission is necessitated. Communication protocols studied for conventional wireless networks or ad hoc networks are not suited for the sensor network resultantly. Schemes should be devised to control the efficient usage of node power in the sensor network. This paper proposes a medium access protocol to enhance the efficiency of energy consumption in the sensor network node. Its performance is analyzed by simulation.

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