Development of capacitance-based and impedance-based wireless sensors and sensor nodes for structural health monitoring applications

Mascareñas, David; Flynn, Eric B.; Todd, Michael D.; Overly, Timothy G.; Farinholt, Kevin; Park, Gyuhae; Farrar, Charles R.

doi:10.1016/j.jsv.2009.07.021

Cited by 27 publications

(17 citation statements)

References 11 publications

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“…A novel WSN based application for SHM is presented in [12]. In order to do away with the limitations of traditional sensing networks, both the power and data interrogation commands are transmitted through a mobile agent, which is sent to each sensor node to perform individual functions.…”

Section: E Structural Health Monitoringmentioning

confidence: 99%

Research Issues in Wireless Sensor NetworkApplications: A Survey

Lydia¹

2012

IJIEE

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Wireless Sensor Networks (WSN) are used in variety of fields which includes military, healthcare, environmental, biological, home and other commercial applications. With the huge advancement in the field of embedded computer and sensor technology, Wireless Sensor Networks (WSN), which is composed of several thousands of sensor nodes which are capable of sensing, actuating, and relaying the collected information, have made remarkable impact everywhere. This paper presents an overview of the various research issues in WSN based applications.

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Section: E Structural Health Monitoringmentioning

confidence: 99%

Research Issues in Wireless Sensor NetworkApplications: A Survey

Lydia¹

2012

IJIEE

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“…As a possible solution to overcome the mentioned challenges, in [26] is discussed the use of sensor nodes that collect measurements from a structure in a completely passive manner without any electrical power. In [27], a wireless sensor network with temperature-compensated measuring technology for long-term structural health monitoring of buildings and infrastructures is presented.…”

Section: Introductionmentioning

confidence: 99%

Presenting a New Wireless Strain Method for Structural Monitoring: Experimental Validation

et al. 2019

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The structural health monitoring (SHM) of large and complex infrastructures as well as laboratory tests of new structures and materials resorts to strain gauge measurements to check mechanical stress. A wireless measurement of the strain gauge response is desirable in many practical applications to avoid the cost and the difficulty of wiring, particularly in large structures requiring several sensors and in complex objects where the measurement points are difficult to access. In this paper, a wireless strain gauge which is a hybrid between an RFID tag and a usual thin-film resistive strain gauge is experimented. Installation and maintenance problems of the wireless sensor networks are overcome allowing a high level of measurement accuracy, comparable to that of wired strain sensors, together with a long measurement distance. A large set of measurements has been performed using reference specimens and readings in order to validate the sensor and to develop a calibration procedure that makes the sensor suitable for a large number of different applications in civil engineering.

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“…Among different WSN types, sectorshaped networks, where all the nodes send their data to a single base station, are the most common. They have various applications such as health monitoring, data gathering, and surveillance [3][4][5]. There have been several research efforts on reducing the overall transmission power of sector-shaped networks [5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

Simultaneous power control and power management algorithm with sector-shaped topology for wireless sensor networks

Nickray

Afzali-Kusha

Jäntti

2015

J Wireless Com Network

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In this paper, we propose a topology control technique to reduce the energy consumption of wireless sensor networks (WSNs). The technique makes use of both power control and power management methods. The algorithm uses the power management technique to put as many idle nodes as possible into the sleep mode while invoking the power control method to adjust the transmission range of the active nodes. On the contrary to earlier works in which both of these methods were used separately, in this algorithm, they are utilized simultaneously to decide about the sleep nodes and the ranges of active nodes. It is an approximation algorithm which is called simultaneous power control and power management algorithm (SPCPM). The performance bound of this centralized algorithm is determined analytically. Then, to make the proposed method practical for WSNs, a distributed algorithm based on SPCPM is introduced. To assess the efficiency of the proposed algorithm, we compare its average energy consumption with those of three existing topology control algorithms for a sector-based WSN. The simulation results which were obtained for different numbers of transmitting sensor nodes reveal less average energy consumptions for SPCPM compared to other algorithms.

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Development of capacitance-based and impedance-based wireless sensors and sensor nodes for structural health monitoring applications

Cited by 27 publications

References 11 publications

Research Issues in Wireless Sensor NetworkApplications: A Survey

Research Issues in Wireless Sensor NetworkApplications: A Survey

Presenting a New Wireless Strain Method for Structural Monitoring: Experimental Validation

Simultaneous power control and power management algorithm with sector-shaped topology for wireless sensor networks

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