A Glider-Assist Routing Protocol for Underwater Acoustic Networks With Trajectory Prediction Methods

In recent years, marine exploration has become one of the most popular research subjects. At present, gliders in Underwater Acoustic Sensor Networks (UASNs) are equipped with a variety of sensors, which can play an important role in marine detection and monitoring. In addition, gliders also have the...
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Autor*in:	Yishan Su [verfasserIn] Lin Zhang [verfasserIn] Yun Li [verfasserIn] Xing Yao [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	Hybrid underwater acoustic sensor network routing protocol fuzzy logic algorithm Kalman filtering

Übergeordnetes Werk:	In: IEEE Access - IEEE, 2014, 8(2020), Seite 154560-154572
Übergeordnetes Werk:	volume:8 ; year:2020 ; pages:154560-154572

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1109/ACCESS.2020.3015856

Katalog-ID:	DOAJ005085608

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allfields	10.1109/ACCESS.2020.3015856 doi (DE-627)DOAJ005085608 (DE-599)DOAJ05f6dcd084a04fa28f3fc1ce71d9f377 DE-627 ger DE-627 rakwb eng TK1-9971 Yishan Su verfasserin aut A Glider-Assist Routing Protocol for Underwater Acoustic Networks With Trajectory Prediction Methods 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In recent years, marine exploration has become one of the most popular research subjects. At present, gliders in Underwater Acoustic Sensor Networks (UASNs) are equipped with a variety of sensors, which can play an important role in marine detection and monitoring. In addition, gliders also have the ability of data collection and storage. When coexisting with the sensor nodes, they can be regarded as special sensor nodes with semi-determined sawtooth trajectories. In hybrid UASNs including sensor nodes and gliders, a robust routing protocol is required to improve the poor network connectivity caused by long transmission delay, high bit error rate and unreliable transmission links. In this article, the Fuzzy Logic Algorithm (FLA) is used to convert multiple input parameters into one output value, thus reducing the storage burden of the network. Therefore, a glider-assist routing scheme with trajectory prediction is proposed to improve the connectivity of the hybrid network. The simulation results show that our scheme is superior to other protocols in terms of delivery ratio, end-to-end latency and lifetime. Hybrid underwater acoustic sensor network routing protocol fuzzy logic algorithm Kalman filtering Electrical engineering. Electronics. Nuclear engineering Lin Zhang verfasserin aut Yun Li verfasserin aut Xing Yao verfasserin aut In IEEE Access IEEE, 2014 8(2020), Seite 154560-154572 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:8 year:2020 pages:154560-154572 https://doi.org/10.1109/ACCESS.2020.3015856 kostenfrei https://doaj.org/article/05f6dcd084a04fa28f3fc1ce71d9f377 kostenfrei https://ieeexplore.ieee.org/document/9165057/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2020 154560-154572
spelling	10.1109/ACCESS.2020.3015856 doi (DE-627)DOAJ005085608 (DE-599)DOAJ05f6dcd084a04fa28f3fc1ce71d9f377 DE-627 ger DE-627 rakwb eng TK1-9971 Yishan Su verfasserin aut A Glider-Assist Routing Protocol for Underwater Acoustic Networks With Trajectory Prediction Methods 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In recent years, marine exploration has become one of the most popular research subjects. At present, gliders in Underwater Acoustic Sensor Networks (UASNs) are equipped with a variety of sensors, which can play an important role in marine detection and monitoring. In addition, gliders also have the ability of data collection and storage. When coexisting with the sensor nodes, they can be regarded as special sensor nodes with semi-determined sawtooth trajectories. In hybrid UASNs including sensor nodes and gliders, a robust routing protocol is required to improve the poor network connectivity caused by long transmission delay, high bit error rate and unreliable transmission links. In this article, the Fuzzy Logic Algorithm (FLA) is used to convert multiple input parameters into one output value, thus reducing the storage burden of the network. Therefore, a glider-assist routing scheme with trajectory prediction is proposed to improve the connectivity of the hybrid network. The simulation results show that our scheme is superior to other protocols in terms of delivery ratio, end-to-end latency and lifetime. Hybrid underwater acoustic sensor network routing protocol fuzzy logic algorithm Kalman filtering Electrical engineering. Electronics. Nuclear engineering Lin Zhang verfasserin aut Yun Li verfasserin aut Xing Yao verfasserin aut In IEEE Access IEEE, 2014 8(2020), Seite 154560-154572 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:8 year:2020 pages:154560-154572 https://doi.org/10.1109/ACCESS.2020.3015856 kostenfrei https://doaj.org/article/05f6dcd084a04fa28f3fc1ce71d9f377 kostenfrei https://ieeexplore.ieee.org/document/9165057/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2020 154560-154572
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allfieldsGer	10.1109/ACCESS.2020.3015856 doi (DE-627)DOAJ005085608 (DE-599)DOAJ05f6dcd084a04fa28f3fc1ce71d9f377 DE-627 ger DE-627 rakwb eng TK1-9971 Yishan Su verfasserin aut A Glider-Assist Routing Protocol for Underwater Acoustic Networks With Trajectory Prediction Methods 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In recent years, marine exploration has become one of the most popular research subjects. At present, gliders in Underwater Acoustic Sensor Networks (UASNs) are equipped with a variety of sensors, which can play an important role in marine detection and monitoring. In addition, gliders also have the ability of data collection and storage. When coexisting with the sensor nodes, they can be regarded as special sensor nodes with semi-determined sawtooth trajectories. In hybrid UASNs including sensor nodes and gliders, a robust routing protocol is required to improve the poor network connectivity caused by long transmission delay, high bit error rate and unreliable transmission links. In this article, the Fuzzy Logic Algorithm (FLA) is used to convert multiple input parameters into one output value, thus reducing the storage burden of the network. Therefore, a glider-assist routing scheme with trajectory prediction is proposed to improve the connectivity of the hybrid network. The simulation results show that our scheme is superior to other protocols in terms of delivery ratio, end-to-end latency and lifetime. Hybrid underwater acoustic sensor network routing protocol fuzzy logic algorithm Kalman filtering Electrical engineering. Electronics. Nuclear engineering Lin Zhang verfasserin aut Yun Li verfasserin aut Xing Yao verfasserin aut In IEEE Access IEEE, 2014 8(2020), Seite 154560-154572 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:8 year:2020 pages:154560-154572 https://doi.org/10.1109/ACCESS.2020.3015856 kostenfrei https://doaj.org/article/05f6dcd084a04fa28f3fc1ce71d9f377 kostenfrei https://ieeexplore.ieee.org/document/9165057/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2020 154560-154572
allfieldsSound	10.1109/ACCESS.2020.3015856 doi (DE-627)DOAJ005085608 (DE-599)DOAJ05f6dcd084a04fa28f3fc1ce71d9f377 DE-627 ger DE-627 rakwb eng TK1-9971 Yishan Su verfasserin aut A Glider-Assist Routing Protocol for Underwater Acoustic Networks With Trajectory Prediction Methods 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier In recent years, marine exploration has become one of the most popular research subjects. At present, gliders in Underwater Acoustic Sensor Networks (UASNs) are equipped with a variety of sensors, which can play an important role in marine detection and monitoring. In addition, gliders also have the ability of data collection and storage. When coexisting with the sensor nodes, they can be regarded as special sensor nodes with semi-determined sawtooth trajectories. In hybrid UASNs including sensor nodes and gliders, a robust routing protocol is required to improve the poor network connectivity caused by long transmission delay, high bit error rate and unreliable transmission links. In this article, the Fuzzy Logic Algorithm (FLA) is used to convert multiple input parameters into one output value, thus reducing the storage burden of the network. Therefore, a glider-assist routing scheme with trajectory prediction is proposed to improve the connectivity of the hybrid network. The simulation results show that our scheme is superior to other protocols in terms of delivery ratio, end-to-end latency and lifetime. Hybrid underwater acoustic sensor network routing protocol fuzzy logic algorithm Kalman filtering Electrical engineering. Electronics. Nuclear engineering Lin Zhang verfasserin aut Yun Li verfasserin aut Xing Yao verfasserin aut In IEEE Access IEEE, 2014 8(2020), Seite 154560-154572 (DE-627)728440385 (DE-600)2687964-5 21693536 nnns volume:8 year:2020 pages:154560-154572 https://doi.org/10.1109/ACCESS.2020.3015856 kostenfrei https://doaj.org/article/05f6dcd084a04fa28f3fc1ce71d9f377 kostenfrei https://ieeexplore.ieee.org/document/9165057/ kostenfrei https://doaj.org/toc/2169-3536 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2020 154560-154572
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source	In IEEE Access 8(2020), Seite 154560-154572 volume:8 year:2020 pages:154560-154572
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topic_facet	Hybrid underwater acoustic sensor network routing protocol fuzzy logic algorithm Kalman filtering Electrical engineering. Electronics. Nuclear engineering
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authorswithroles_txt_mv	Yishan Su @@aut@@ Lin Zhang @@aut@@ Yun Li @@aut@@ Xing Yao @@aut@@
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callnumber-first	T - Technology
author	Yishan Su
spellingShingle	Yishan Su misc TK1-9971 misc Hybrid underwater acoustic sensor network misc routing protocol misc fuzzy logic algorithm misc Kalman filtering misc Electrical engineering. Electronics. Nuclear engineering A Glider-Assist Routing Protocol for Underwater Acoustic Networks With Trajectory Prediction Methods
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topic_title	TK1-9971 A Glider-Assist Routing Protocol for Underwater Acoustic Networks With Trajectory Prediction Methods Hybrid underwater acoustic sensor network routing protocol fuzzy logic algorithm Kalman filtering
topic	misc TK1-9971 misc Hybrid underwater acoustic sensor network misc routing protocol misc fuzzy logic algorithm misc Kalman filtering misc Electrical engineering. Electronics. Nuclear engineering
topic_unstemmed	misc TK1-9971 misc Hybrid underwater acoustic sensor network misc routing protocol misc fuzzy logic algorithm misc Kalman filtering misc Electrical engineering. Electronics. Nuclear engineering
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title	A Glider-Assist Routing Protocol for Underwater Acoustic Networks With Trajectory Prediction Methods
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title_full	A Glider-Assist Routing Protocol for Underwater Acoustic Networks With Trajectory Prediction Methods
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title_sort	glider-assist routing protocol for underwater acoustic networks with trajectory prediction methods
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title_auth	A Glider-Assist Routing Protocol for Underwater Acoustic Networks With Trajectory Prediction Methods
abstract	In recent years, marine exploration has become one of the most popular research subjects. At present, gliders in Underwater Acoustic Sensor Networks (UASNs) are equipped with a variety of sensors, which can play an important role in marine detection and monitoring. In addition, gliders also have the ability of data collection and storage. When coexisting with the sensor nodes, they can be regarded as special sensor nodes with semi-determined sawtooth trajectories. In hybrid UASNs including sensor nodes and gliders, a robust routing protocol is required to improve the poor network connectivity caused by long transmission delay, high bit error rate and unreliable transmission links. In this article, the Fuzzy Logic Algorithm (FLA) is used to convert multiple input parameters into one output value, thus reducing the storage burden of the network. Therefore, a glider-assist routing scheme with trajectory prediction is proposed to improve the connectivity of the hybrid network. The simulation results show that our scheme is superior to other protocols in terms of delivery ratio, end-to-end latency and lifetime.
abstractGer	In recent years, marine exploration has become one of the most popular research subjects. At present, gliders in Underwater Acoustic Sensor Networks (UASNs) are equipped with a variety of sensors, which can play an important role in marine detection and monitoring. In addition, gliders also have the ability of data collection and storage. When coexisting with the sensor nodes, they can be regarded as special sensor nodes with semi-determined sawtooth trajectories. In hybrid UASNs including sensor nodes and gliders, a robust routing protocol is required to improve the poor network connectivity caused by long transmission delay, high bit error rate and unreliable transmission links. In this article, the Fuzzy Logic Algorithm (FLA) is used to convert multiple input parameters into one output value, thus reducing the storage burden of the network. Therefore, a glider-assist routing scheme with trajectory prediction is proposed to improve the connectivity of the hybrid network. The simulation results show that our scheme is superior to other protocols in terms of delivery ratio, end-to-end latency and lifetime.
abstract_unstemmed	In recent years, marine exploration has become one of the most popular research subjects. At present, gliders in Underwater Acoustic Sensor Networks (UASNs) are equipped with a variety of sensors, which can play an important role in marine detection and monitoring. In addition, gliders also have the ability of data collection and storage. When coexisting with the sensor nodes, they can be regarded as special sensor nodes with semi-determined sawtooth trajectories. In hybrid UASNs including sensor nodes and gliders, a robust routing protocol is required to improve the poor network connectivity caused by long transmission delay, high bit error rate and unreliable transmission links. In this article, the Fuzzy Logic Algorithm (FLA) is used to convert multiple input parameters into one output value, thus reducing the storage burden of the network. Therefore, a glider-assist routing scheme with trajectory prediction is proposed to improve the connectivity of the hybrid network. The simulation results show that our scheme is superior to other protocols in terms of delivery ratio, end-to-end latency and lifetime.
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title_short	A Glider-Assist Routing Protocol for Underwater Acoustic Networks With Trajectory Prediction Methods
url	https://doi.org/10.1109/ACCESS.2020.3015856 https://doaj.org/article/05f6dcd084a04fa28f3fc1ce71d9f377 https://ieeexplore.ieee.org/document/9165057/ https://doaj.org/toc/2169-3536
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