Routing in wireless sensor networks for wind turbine monitoring

Carbajo, Ricardo Simón; Carbajo, Esther Simon; Basu, Biswajit; McGoldrick, Ciarán

doi:10.1016/j.pmcj.2017.04.007

Cited by 23 publications

(16 citation statements)

References 40 publications

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“…In the recent research work, a fuzzy based fault diagnosis algorithm has been studied in order to overcome such failure events intelligently [5]. In other previous research works of [6] and [7], WT power system applying WSN have been considered to increase the reliability of fault diagnosis. In [6], the overall reliability of condition monitoring network based on WSN is focused.…”

Section: B Related Work : Intelligent Aglorithm For Offshore Wt Power Systemmentioning

confidence: 99%

“…In [6], the overall reliability of condition monitoring network based on WSN is focused. In [7], the energy efficient routing protocol associated with structure of wind turbines in WSN multihop communication. Moreover, from the mechanical perspective, the intelligent diagnosis algorithm with big data has been dealt with in [8].…”

Section: B Related Work : Intelligent Aglorithm For Offshore Wt Power Systemmentioning

confidence: 99%

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A Cooperative Decision Algorithm to Enhance the Wireless Link Connectivity of the Offshore Wind-Turbine Power System with Wireless Networks

Lee¹,

Kim²,

Jeon³

2020

IJCDS

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In general, the condition monitoring system (CMS) with wireless sensor network (WSN) and the wireless USB (WUSB) could be considered as a promising technique to manage the future offshore wind-turbine (WT) power system wirelessly for fully employment of wireless multimedia services. However, it still needs a highly reliable solution to tackle with the wireless link breakage problem caused by offshore capricious climate condition as well as by obstacle of wireless devices. Therefore, in this paper, we suggest a cooperative decision algorithm as to guarantee higher reliability of the supervisory control and data acquisition (SCADA) & CMS's fault diagnosis monitoring operation of the offshore WT power system with WSN-WUSB network. We apply a cooperative decision algorithm for recovering the wireless link disconnection and providing a new link path, based on the proposed Orphan Notification message protocol. This algorithm can intelligently select the transmission path with the better channel conditions and thus, improve the reliability of the network. Simulation result shows that the proposed scheme effectively enhances the wireless link connectivity and the overall network performance.

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Section: B Related Work : Intelligent Aglorithm For Offshore Wt Power Systemmentioning

confidence: 99%

Section: B Related Work : Intelligent Aglorithm For Offshore Wt Power Systemmentioning

confidence: 99%

A Cooperative Decision Algorithm to Enhance the Wireless Link Connectivity of the Offshore Wind-Turbine Power System with Wireless Networks

Lee¹,

Kim²,

Jeon³

2020

IJCDS

View full text Add to dashboard Cite

show abstract

“…Jaringan sensor nirkabel merupakan salah satu pengembangan dari komunikasi nirkabel yang diaplikasikan dalam perangkat yang berukuran kecil, ringan dan memiliki skalabilitas biaya jaringan yang rendah [2]. Jaringan sensor nirkabel dibekali dengan seperangkat sumber daya energi yang terbatas yang digunakan dalam operasi komputasi dan memiliki kemampuan untuk melakukan sensing dan komunikasi nirkabel [3].…”

Section: Pendahuluanunclassified

“…Wireless sensor network (WSN) atau jaringan sensor nirkabel merupakan sekumpulan dari beberapa device kecil yang dilengkapi dengan sensing yang terintegrasi dan kemampuan komunikasi nirkabel, yang diharapkan dapat digunakan secara luas dalam berbagai aplikasi. Sensor ini dioperasikan dengan daya baterai dan energinya tidak selalu diperbaharui karena masalah biaya, lingkungan dan bentuknya [2].…”

Section: Metode Penelitianunclassified

Algoritma Dynamic Cluster Head dengan Metode Rating untuk Mengurangi Dead Node pada Jaringan Sensor Nirkabel

Kusuma¹

2019

eksplora

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Jaringan sensor nirkabel terdiri dari node-node sensor yang memiliki sumber daya energi yang terbatas. Jaringan ini dibangun untuk mengawasi lingkungan dan memberikan informasi ke sebuah koordinator. Namun karena node yang berjalan dengan sumber daya terbatas seperti baterai, diperlukan sebuah protokol yang mampu memanfaatkan sumber daya yang terbatas namun data yang disampaikan tetap terjaga. In-network data aggregation merupakan sebuah metode agregasi pengumpulan data routing melalui jaringan multi-hop, mengolah data pada intermediate node dengan tujuan meningkatkan network lifetime. Agregasi data dilakukan secara terpusat pada topologi Tree-Based Network yang diproses pada Cluster Head sehingga memberikan beban pada Cluster Head yang mengakibatkan konsumsi energi terpusat pada satu node. Penelitian ini menghasilkan algoritma penentuan node yang bertugas menjadi Cluster Head sesuai dengan kondisi jaringan secara dinamis yang disebut A-SEClush. Berdasarkan hasil uji coba yang telah dilakukan algoritma ini memiliki keunggulan sebesar 2,0 pada total node yang mengalami kehabisan energi dibandingkan dengan Static-CH.

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“…In recent years, 3G, 4G and wireless local area networks (WLAN) have become a part of everyday life, allowing easy access to the internet. Wireless sensor networks (WSN) have been tested by exploiting wireless communication technologies [10], [11]. MEMS sensors are typically applied in these studies because of their low energy consumption and low price.…”

Section: Introductionmentioning

confidence: 99%

Internet of Things Based Monitoring of Large Rotor Vibration With a Microelectromechanical Systems Accelerometer

2019

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In rotating machinery, excessive vibration can affect the lifetime of the machine and, for example, in paper machines, it can directly affect production quality. Hence, it is important to monitor vibrations. Typically the vibrations are measured with piezo-based accelerometers attached to the bearing housing. Installation of the accelerometers and especially cabling is laborious and expensive in the case of existing machines that have several components to monitor. In continuous process maintenance, a break may be required as well. Therefore, typically only the critical rotors will be monitored, if at all. This research focuses on applying wireless microelectromechanical systems (MEMS) accelerometers to the measurement of large rotor vibration. The results indicated that MEMS accelerometers combined with wireless communication can offer a viable alternative to more expensive piezo-based accelerometers with traditional wire-based communication. The combination provides a flexible and cost-effective method for the collection of vibration data from large rotors and rotor systems. INDEX TERMS Internet of Things (IoT), microelectromechanical systems (MEMS), accelerometer, subcritical vibration, large rotor, wireless condition monitoring.

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Routing in wireless sensor networks for wind turbine monitoring

Cited by 23 publications

References 40 publications

A Cooperative Decision Algorithm to Enhance the Wireless Link Connectivity of the Offshore Wind-Turbine Power System with Wireless Networks

A Cooperative Decision Algorithm to Enhance the Wireless Link Connectivity of the Offshore Wind-Turbine Power System with Wireless Networks

Algoritma Dynamic Cluster Head dengan Metode Rating untuk Mengurangi Dead Node pada Jaringan Sensor Nirkabel

Internet of Things Based Monitoring of Large Rotor Vibration With a Microelectromechanical Systems Accelerometer

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