Energy Harvesting Hybrid Acoustic-Optical Underwater Wireless Sensor Networks Localization

Handle URI:
http://hdl.handle.net/10754/626086
Title:
Energy Harvesting Hybrid Acoustic-Optical Underwater Wireless Sensor Networks Localization
Authors:
Saeed, Nasir ( 0000-0002-5123-5139 ) ; Celik, Abdulkadir ( 0000-0001-9007-9979 ) ; Al-Naffouri, Tareq Y. ( 0000-0003-2843-5084 ) ; Alouini, Mohamed-Slim ( 0000-0003-4827-1793 )
Abstract:
Underwater wireless technologies demand to transmit at higher data rate for ocean exploration. Currently, large coverage is achieved by acoustic sensor networks with low data rate, high cost, high latency, high power consumption, and negative impact on marine mammals. Meanwhile, optical communication for underwater networks has the advantage of the higher data rate albeit for limited communication distances. Moreover, energy consumption is another major problem for underwater sensor networks, due to limited battery power and difficulty in replacing or recharging the battery of a sensor node. The ultimate solution to this problem is to add energy harvesting capability to the acoustic-optical sensor nodes. Localization of underwater sensor networks is of utmost importance because the data collected from underwater sensor nodes is useful only if the location of the nodes is known. Therefore, a novel localization technique for energy harvesting hybrid acoustic-optical underwater wireless sensor networks (AO-UWSNs) is proposed. AO-UWSN employs optical communication for higher data rate at a short transmission distance and employs acoustic communication for low data rate and long transmission distance. A hybrid received signal strength (RSS) based localization technique is proposed to localize the nodes in AO-UWSNs. The proposed technique combines the noisy RSS based measurements from acoustic communication and optical communication and estimates the final locations of acoustic-optical sensor nodes. A weighted multiple observations paradigm is proposed for hybrid estimated distances to suppress the noisy observations and give more importance to the accurate observations. Furthermore, the closed form solution for Cramer-Rao lower bound (CRLB) is derived for localization accuracy of the proposed technique.
KAUST Department:
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division; Electrical Engineering Program
Citation:
Saeed N, Celik A, Al-Naffouri T, Alouini M-S (2017) Energy Harvesting Hybrid Acoustic-Optical Underwater Wireless Sensor Networks Localization. Sensors 18: 51. Available: http://dx.doi.org/10.3390/s18010051.
Publisher:
MDPI AG
Journal:
Sensors
KAUST Grant Number:
OSR-2015-Sensors-2700
Issue Date:
26-Dec-2017
DOI:
10.3390/s18010051
Type:
Article
ISSN:
1424-8220
Sponsors:
This work is supported by the KAUST-MIT-TUD consortium under grant OSR-2015- Sensors-2700. The authors would also like to thank the anonymous reviewers for their constructive comments.
Appears in Collections:
Articles; Electrical Engineering Program; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorSaeed, Nasiren
dc.contributor.authorCelik, Abdulkadiren
dc.contributor.authorAl-Naffouri, Tareq Y.en
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2018-01-09T11:39:58Z-
dc.date.available2017-11-02T08:24:44Z-
dc.date.available2018-01-09T11:39:58Z-
dc.date.issued2017-12-26en
dc.identifier.citationSaeed N, Celik A, Al-Naffouri T, Alouini M-S (2017) Energy Harvesting Hybrid Acoustic-Optical Underwater Wireless Sensor Networks Localization. Sensors 18: 51. Available: http://dx.doi.org/10.3390/s18010051.en
dc.identifier.issn1424-8220en
dc.identifier.doi10.3390/s18010051en
dc.identifier.urihttp://hdl.handle.net/10754/626086-
dc.description.abstractUnderwater wireless technologies demand to transmit at higher data rate for ocean exploration. Currently, large coverage is achieved by acoustic sensor networks with low data rate, high cost, high latency, high power consumption, and negative impact on marine mammals. Meanwhile, optical communication for underwater networks has the advantage of the higher data rate albeit for limited communication distances. Moreover, energy consumption is another major problem for underwater sensor networks, due to limited battery power and difficulty in replacing or recharging the battery of a sensor node. The ultimate solution to this problem is to add energy harvesting capability to the acoustic-optical sensor nodes. Localization of underwater sensor networks is of utmost importance because the data collected from underwater sensor nodes is useful only if the location of the nodes is known. Therefore, a novel localization technique for energy harvesting hybrid acoustic-optical underwater wireless sensor networks (AO-UWSNs) is proposed. AO-UWSN employs optical communication for higher data rate at a short transmission distance and employs acoustic communication for low data rate and long transmission distance. A hybrid received signal strength (RSS) based localization technique is proposed to localize the nodes in AO-UWSNs. The proposed technique combines the noisy RSS based measurements from acoustic communication and optical communication and estimates the final locations of acoustic-optical sensor nodes. A weighted multiple observations paradigm is proposed for hybrid estimated distances to suppress the noisy observations and give more importance to the accurate observations. Furthermore, the closed form solution for Cramer-Rao lower bound (CRLB) is derived for localization accuracy of the proposed technique.en
dc.description.sponsorshipThis work is supported by the KAUST-MIT-TUD consortium under grant OSR-2015- Sensors-2700. The authors would also like to thank the anonymous reviewers for their constructive comments.en
dc.language.isoenen
dc.publisherMDPI AGen
dc.rightsThis article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectAcoustic-optical communicationen
dc.subjectEnergy harvestingen
dc.subjectLocalizationen
dc.subjectUnderwater sensor networksen
dc.titleEnergy Harvesting Hybrid Acoustic-Optical Underwater Wireless Sensor Networks Localizationen
dc.typeArticleen
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Divisionen
dc.contributor.departmentElectrical Engineering Programen
dc.identifier.journalSensorsen
dc.eprint.versionPublisher's Version/PDFen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
kaust.authorSaeed, Nasiren
kaust.authorCelik, Abdulkadiren
kaust.authorAl-Naffouri, Tareq Y.en
kaust.authorAlouini, Mohamed-Slimen
kaust.grant.numberOSR-2015-Sensors-2700en

Version History

VersionItem Editor Date Summary
2 10754/626086grenzdm2018-01-09 09:47:41.394Published with DOI.
1 10754/626086.1Nasir Saeed2017-11-02 08:24:44.0
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