Development of Wireless Smart Sensor for Structure and Machine Monitoring

Widodo, Achmad; Rozaqi, Latief; Haryanto, Ismoyo; Satrijo, Djoeli

doi:10.12928/telkomnika.v11i2.944

Cited by 6 publications

(6 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In this design, the dual-band textile antenna candidate was selected to be an E-shaped patch antenna An E-shaped patch antenna is easily formed by cutting two slots from a rectangular shape. By cutting these slots from a patch the desired frequency will be achieved easily [3], gain, return loss and bandwidth of microstrip antenna can be improved also. The proposed antenna is designed for 1.8 GHz and 2.4GHz frequencies.…”

Section: Flexible Microstrip Patch Antenna Design and Developmentmentioning

confidence: 99%

“…The objective of structural health monitoring systems is to decrease maintenance costs, to reduce overall of ownership of a vehicle, at the same time developing safety and reliability. The development of safety is strong motivation in structural health monitoring, especially after several accidents happen because of [3]: 1. Insufficient maintenance, for example at side of aeronautic which is flight related field see Figure 1 or the collapse of Mianus River Bridge at side of civil engineering field.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Structural Health Monitoring Sensor based on A Flexible Microstrip Patch Antenna

Omer

Azemi

Al‐Hadi

et al. 2018

IJEECS

View full text Add to dashboard Cite

<span>A microstrip patch antenna strain sensor operating at dual frequencies 1.8GHz and 2.4GHz have been designed based on the relation between the resonant frequency and the strain applied to it. Felt substrate with a height of 3mm and dielectric constant of 1.44 and shield conductor are used for the design of this antenna. Testing results show that the resonant frequency of the microstrip patch antenna is 1.78 GHz and 2.4 GHz, which agrees with the simulation. The resonant frequency of the microstrip patch antenna increases linearly with the increase of the applied strain. This microstrip patch antenna strain sensor can be integrated with other components easily and have a great potential applications in structural health monitoring systems.</span>

show abstract

Section: Flexible Microstrip Patch Antenna Design and Developmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Structural Health Monitoring Sensor based on A Flexible Microstrip Patch Antenna

Omer

Azemi

Al‐Hadi

et al. 2018

IJEECS

View full text Add to dashboard Cite

show abstract

“…WSNs are typically self-organizing netwoks consisiting of nunmerous low-cost, feature riched and energy-limited sensor nodes, which can be widely applied in environmental monitoring, intelligent home furnishing, military monitoring, security monitoring and other fields [1,2]. Such applications usually require that sensor nodes in surveillance region periodically sense data and report to sink noedes or base stations.…”

Section: Introductionmentioning

confidence: 99%

Energy-efficient Compressive Data Gathering Utilizing Virtual Multi-input Multi-output

Jiang

2017

TELKOMNIKA

View full text Add to dashboard Cite

Data gathering is an attractive operation for obtaining information in wireless sensor networks (WSNs). But one of important challenges is to minimize energy consumption of networks. In this paper, an integration of distributed compressive sensing (CS) and virtual multi-input multi-output (vMIMO) Keywords: data gathering, compressive sensing, virtual MIMO, energy optimizationCopyright © 2017 Universitas Ahmad Dahlan. All rights reserved. IntroductionWSNs are typically self-organizing netwoks consisiting of nunmerous low-cost, feature riched and energy-limited sensor nodes, which can be widely applied in environmental monitoring, intelligent home furnishing, military monitoring, security monitoring and other fields [1,2]. Such applications usually require that sensor nodes in surveillance region periodically sense data and report to sink noedes or base stations. So data gathering is an important operation to collect and transmit the sensed data to sink nodes. At present, WSNs have severe energy constraints, the problem for data gathering is that the transmssion of huge amounts of monitoring data causes large consumptions of nodes and reduces network life cycle.Many CS-based data gathering methods have been studied to improve the energy efficiency of WSNs [3][4][5][6][7][8][9][10][11]. Chong Luo, et al., [3] applied CS theory to tree-based and chainbased data gathering in WSNs to obtain efficient data compression. In [4], You proposed a CSbased dynamic source and transmission control algorithm to prolong the lifetime of networks. In [5], a CS model for data gathering was proposed that used spatial and temporal relativity of signals. This model reduced the quantity of transmitted data and achieved better reconstruction performance in sink nodes. In [6] and [7], combined with random walk routing and CS measurement matrices, compressive data gathering schemes were proposed. In [8] and [9], CS was applied in clustered networks, cluster heads received raw data from their member-nodes and sent them to sink by the way of single-hop network. Besides that, some researches about sparse projections [10] and joint optimization of transport cost and recovery [11] in WSNs have had some useful explorations. These CS based methods can decrease cost by data compression and reducing the number of in-network data packets. But these researches are all based on transmission model with single input and single output.As multi-antenna transmission in wireless networks can achieve spatial diversity. And spatial diversity is considered to be an effective solution to resist channel fading and reduce power consumption. Virtual MIMO mechanism with single-antenna nodes had been introduced in data gathering [12]. In [13] and [14], virtual MIMO was applied to improve data gathering cost in clustered wireless sensor networks. We can notice that above data gathering methods based on virtual MIMO need an effective data fusion, this mechanism will make systems more

show abstract

“…At present, some inductance coil production process is complex and high cost, which is not in conformity with the large scale integrated circuit development requirements of the high integration and low cost [9][10][11]. How to simplify the electromagnetic excitation of the resonant sensor production process, reduce the cost and keep high quality has become the key to the development of the technology.…”

Section: Introductionmentioning

confidence: 99%

Research on Silicon-based Planar Spiral Inductance Coil Based on Microelectromechanical System

Zhao

2015

TELKOMNIKA

View full text Add to dashboard Cite

show abstract

Development of Wireless Smart Sensor for Structure and Machine Monitoring

Cited by 6 publications

References 5 publications

Structural Health Monitoring Sensor based on A Flexible Microstrip Patch Antenna

Structural Health Monitoring Sensor based on A Flexible Microstrip Patch Antenna

Energy-efficient Compressive Data Gathering Utilizing Virtual Multi-input Multi-output

Research on Silicon-based Planar Spiral Inductance Coil Based on Microelectromechanical System

Contact Info

Product

Resources

About