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; Celik, Abdulkadir ( 0000-0001-9007-9979 ) ; Y. Al-Naffouri, Tareq; 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, more power consumption, and negative impact on marine mammals. Meanwhile, optical communication for underwater networks has the advantage of the higher data rate for limited communication distance. 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. In this paper, a novel localization technique for energy harvesting hybrid acoustic-optical underwater wireless sensor networks (EH-AO-UWSNs) is proposed. EH-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 EH-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:
CEMSE Division
Publisher:
MDPI AG
Journal:
Submitted to Sensors
Issue Date:
2-Nov-2017
Type:
Working Paper
Appears in Collections:
Other/General Submission

Full metadata record

DC FieldValue Language
dc.contributor.authorSaeed, Nasiren
dc.contributor.authorCelik, Abdulkadiren
dc.contributor.authorY. Al-Naffouri, Tareqen
dc.contributor.authorAlouini, Mohamed-Slimen
dc.date.accessioned2017-11-02T08:24:44Z-
dc.date.available2017-11-02T08:24:44Z-
dc.date.issued2017-11-02-
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, more power consumption, and negative impact on marine mammals. Meanwhile, optical communication for underwater networks has the advantage of the higher data rate for limited communication distance. 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. In this paper, a novel localization technique for energy harvesting hybrid acoustic-optical underwater wireless sensor networks (EH-AO-UWSNs) is proposed. EH-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 EH-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.language.isoenen
dc.publisherMDPI AGen
dc.subjectUnderwater Sensor Networksen
dc.subjectAcoustic-Optical Communicationen
dc.subjectEnergy Harvestingen
dc.subjectLocalizationen
dc.titleEnergy Harvesting Hybrid Acoustic-Optical Underwater Wireless Sensor Networks Localizationen
dc.typeWorking Paperen
dc.contributor.departmentCEMSE Divisionen
dc.identifier.journalSubmitted to Sensorsen
dc.eprint.versionPre-printen
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)en
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