• Title, Summary, Keyword: wireless smart sensor network

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Wireless sensor network for decentralized damage detection of building structures

  • Park, Jong-Woong;Sim, Sung-Han;Jung, Hyung-Jo
    • Smart Structures and Systems
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    • v.12 no.3_4
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    • pp.399-414
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    • 2013
  • The smart sensor technology has opened new horizons for assessing and monitoring structural health of civil infrastructure. Smart sensor's unique features such as onboard computation, wireless communication, and cost effectiveness can enable a dense network of sensors that is essential for accurate assessment of structural health in large-scale civil structures. While most research efforts to date have been focused on realizing wireless smart sensor networks (WSSN) on bridge structures, relatively less attention is paid to applying this technology to buildings. This paper presents a decentralized damage detection using the WSSN for building structures. An existing flexibility-based damage detection method is extended to be used in the decentralized computing environment offered by the WSSN and implemented on MEMSIC's Imote2 smart sensor platform. Numerical simulation and laboratory experiment are conducted to validate the WSSN for decentralized damage detection of building structures.

WiSeMote: a novel high fidelity wireless sensor network for structural health monitoring

  • Hoover, Davis P.;Bilbao, Argenis;Rice, Jennifer A.
    • Smart Structures and Systems
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    • v.10 no.3
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    • pp.271-298
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    • 2012
  • Researchers have made significant progress in recent years towards realizing effective structural health monitoring (SHM) utilizing wireless smart sensor networks (WSSNs). These efforts have focused on improving the performance and robustness of such networks to achieve high quality data acquisition and distributed, in-network processing. One of the primary challenges still facing the use of smart sensors for long-term monitoring deployments is their limited power resources. Periodically accessing the sensor nodes to change batteries is not feasible or economical in many deployment cases. While energy harvesting techniques show promise for prolonging unattended network life, low power design and operation are still critically important. This research presents the WiSeMote: a new, fully integrated ultra-low power wireless smart sensor node and a flexible base station, both designed for long-term SHM deployments. The power consumption of the sensor nodes and base station has been minimized through careful hardware selection and the implementation of power-aware network software, without sacrificing flexibility and functionality.

Design of Wireless Smart Plug for Energy Sensor Network (에너지 센서 네트워크를 위한 무선 스마트 플러그 설계)

  • Kim, Won-Ho
    • Journal of Satellite, Information and Communications
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    • v.6 no.2
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    • pp.131-135
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    • 2011
  • In this paper, we describe the design and implementation of wireless smart plug having AC power sensor and intelligent standby power control algorithm for energy sensor network. The adaptive standby power control algorithm has function to apply different threshold of standby power by using learning algorithm depending on electric equipments. As using the proposed algorithm, user convenience will be more better and power consumption can be more reduced. The implemented prototypes of wireless smart plug and wireless access point were tested to verify the required functions and performance. As a result, we confirmed practicality of wireless smart power sensor and satisfaction of given design specifications.

The Proposal and Implementation of Wireless Smart Sensor Node and NCAP System based on the IEEE 1451 (IEEE 1451 기반의 Wireless Smart Sensor Node와 NCAP 시스템의 제안과 구현)

  • Heo, Jung-Il;Lim, Su-Young;Seo, Jung-Ho;Kim, Woo-Shik
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.44 no.5
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    • pp.28-37
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    • 2007
  • IEEE 1451 standard defines an interface for network and transducer. In this paper, We propose an architectural model to configure data acquisition system and wireless smart sensor node based on IEEE 1451 standard. Proposed Network Capable Application Processor(NCAP) supports the task of data acquisition and communication for smart sensor node and network. The NCAP is able to reconfigure without interrupting the functionality of the wireless sensor node and receives the critical information of transducer using the DB. Smart sensor node is able to provide the basic information of sensor in digital format. This digital format is called Transducer Electronic Data Sheet(TEDS), is capable of plug-and-play capability of wireless sensor node and the NCAP. We simplify the format of TEDS and template to apply to wireless network environment. information of TEDS and template is transmitted using ad-hoc routing. This study system uses body temperature sensor and ECG(Electrocardiogram) sensor to provide the medical information service. The format of template is selected by data sheet of the sensor and reconfigured to accurately describe the property of the sensor. DB of NCAP is possible to register new template and information of the property as developing new sensor.

Implementation of a Remote Bio-Equipment System for Smart Healthy Housing Properties

  • Han, Seung-Hoon
    • KIEAE Journal
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    • v.14 no.6
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    • pp.23-29
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    • 2014
  • It is essential to investigate the structure and the main characteristics of BSN (Bio-Sensor Network) platform in built smart healthcare environment while designing healthy housing facilities. For this study, WSN (Wireless Sensor Network) data transmission technologies have been employed with medical sensors, and optimal medical devices would provide various Web 2.0 services by connecting to the WiBro network. The BSN platform normally recognizes in surroundings of WBAN (Wireless Body Area Network) or WPAN (Wireless Personal Area Network), and it is possible to manage sensor nodes by utilizing SOAP (Simple Object Access Protocol) and REST (REpresentational State Transfer). In addition, the feature of SNMP (Simple Network Management Protocol) for mobile gateway is also included for being adapted to huge network structure. Finally, BSN platform will play a role as important clues for developing personal WSN service models for smart healthy housing properties.

Fundamental Research of Strain-based Wireless Sensor Network for Structural Health Monitoring of Highrise building (초고층 건물의 건전성 감시를 위한 변형률 기반 무선 센서 네트워크 기법의 기초적 연구)

  • Jung, Eun-Su;Park, Hyo-Seon;Choi, Suk-Won;Cha, Ho-Jung
    • 한국방재학회:학술대회논문집
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    • pp.429-432
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    • 2007
  • For smart structure technologies, the interests in wireless sensor networks for structural health monitoring are growing. The wireless sensor networks reduce the installation of the wire embedded in the whole structure and save the costs. But the wireless sensor networks have lots of limits and there are lots of researches and developments of wireless sensor and the network for data process. Most of the researches of wireless sensor network is applying to the civil engineering structure and the researches for the highrise building are required. And strain-based SHM gives the local damage information of the structures which acceleration-based SHM can not. In this paper, concept of wireless sensor network for structural health monitoring of highrise building is suggested. And verifying the feasibility of the strain-based SHM a strain sensor board has developed and tested by experiments.

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A decentralized approach to damage localization through smart wireless sensors

  • Jeong, Min-Joong;Koh, Bong-Hwan
    • Smart Structures and Systems
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    • v.5 no.1
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    • pp.43-54
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    • 2009
  • This study introduces a novel approach for locating damage in a structure using wireless sensor system with local level computational capability to alleviate data traffic load on the centralized computation. Smart wireless sensor systems, capable of iterative damage-searching, mimic an optimization process in a decentralized way. The proposed algorithm tries to detect damage in a structure by monitoring abnormal increases in strain measurements from a group of wireless sensors. Initially, this clustering technique provides a reasonably effective sensor placement within a structure. Sensor clustering also assigns a certain number of master sensors in each cluster so that they can constantly monitor the structural health of a structure. By adopting a voting system, a group of wireless sensors iteratively forages for a damage location as they can be activated as needed. Since all of the damage searching process occurs within a small group of wireless sensors, no global control or data traffic to a central system is required. Numerical simulation demonstrates that the newly developed searching algorithm implemented on wireless sensors successfully localizes stiffness damage in a plate through the local level reconfigurable function of smart sensors.

Assessing Throughput and Availability based on Hierarchical Clustering in Wireless Sensor Networks (계층적 클러스터링을 기반으로 하는 무선 센서 네트워크의 Throughput 과 Availability 평가)

  • Lee Jun-Hyuk;Oh Young-Hwan
    • Journal of Applied Reliability
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    • v.5 no.4
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    • pp.465-486
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    • 2005
  • A unreliable network system results in unsatisfied performance. A performance criterion of a network is throughput and availability. One of the most compelling technological advances of this decade has been the advent of deploying wireless networks of heterogeneous smart sensor nodes for complex information gathering tasks, The advancement and popularization of wireless communication technologies make more efficiency to network devices with wireless technology than with wired technology. Recently, the research of wireless sensor network has been drawing much attentions. In this paper, We evaluate throughput and availability of wireless sensor network, which have hierarchical structure based on clustering and estimate the maximum hroughput, average throughput and availability of the network considering several link failure patterns likely to happen at a cluster consisted of sensor nodes. Also increasing a number of sensor nodes in a cluster, We analysis the average throughput and availability of the network.

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MEM Temperature and Humidity Network Sensor for Wire and Wireless Network (유무선 통신용 MEMS 온습도 네트워크 센서)

  • Jung, Woo-Chul;Cha, Boo-Sang
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • pp.360-361
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    • 2006
  • This paper describes a wire and wireless network sensor for temperature and humidity measurements. The network sensor comprises PLC(Power Line Communication) and RF transmitter(433MHz) for acquiring an internal (on-board) sensor signal, and measured data is transmitted to a main processing unit. The network sensor module is consist of MEMS sensor, 10-bit A/D converter, pre-amp., gain-amp., ADUC812 one chip processor and PLC/RF transmitting unit. The temperature and humidity sensor is based on MEMS piezoelectric membrane structure and is implemented by using dual function sensor for smart home and smart building.

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Kalman Filter-based Data Recovery in Wireless Smart Sensor Network for Infrastructure Monitoring (구조물 모니터링을 위한 무선 스마트 센서 네트워크의 칼만 필터 기반 데이터 복구)

  • Kim, Eun-Jin;Park, Jong-Woong;Sim, Sung-Han
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.20 no.3
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    • pp.42-48
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    • 2016
  • Extensive research effort has been made during the last decade to utilize wireless smart sensors for evaluating and monitoring structural integrity of civil engineering structures. The wireless smart sensor commonly has sensing and embedded computation capabilities as well as wireless communication that provide strong potential to overcome shortcomings of traditional wired sensor systems such as high equipment and installation cost. However, sensor malfunctioning particularly in case of long-term monitoring and unreliable wireless communication in harsh environment are the critical issues that should be properly tackled for a wider adoption of wireless smart sensors in practice. This study presents a wireless smart sensor network(WSSN) that can estimate unmeasured responses for the purpose of data recovery at unresponsive sensor nodes. A software program that runs on WSSN is developed to estimate the unmeasured responses from the measured using the Kalman filter. The performance of the developed network software is experimentally verified by estimating unmeasured acceleration responses using a simply-supported beam.