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Node Localization in Underwater Sens...

Missouri University of Science and Technology.

Node Localization in Underwater Sensor Networks (UWSN).

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Node Localization in Underwater Sensor Networks (UWSN)./
作者:	Huang, Huai.
面頁冊數:	1 online resource (115 pages)
附註:	Source: Dissertation Abstracts International, Volume: 79-07(E), Section: A.
Contained By:	Dissertation Abstracts International79-07A(E).
標題:	Communication. -
電子資源:	click for full text (PQDT)
ISBN:	9780355666007

Node Localization in Underwater Sensor Networks (UWSN).
Huang, Huai.

Node Localization in Underwater Sensor Networks (UWSN). - 1 online resource (115 pages)

Source: Dissertation Abstracts International, Volume: 79-07(E), Section: A.

Thesis (Ph.D.)--Missouri University of Science and Technology, 2017.

Includes bibliographical references

This dissertation focuses on node localization in underwater wireless sensor networks (UWSNs) where anchor nodes have knowledge of their own locations and communicate with sensor nodes in acoustic or magnetic induction (MI) means. The sensor nodes utilize the communication signals and the locations of anchor nodes to locate themselves and propagate their locations through the network.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355666007Subjects--Topical Terms:

556422
Communication.
Index Terms--Genre/Form:

554714
Electronic books.

Node Localization in Underwater Sensor Networks (UWSN).
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035 $a (MiAaPQ)missouriscitech:11077
035 $a AAI10622566
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100 1 $a Huang, Huai. $3 1194212
245 1 0 $a Node Localization in Underwater Sensor Networks (UWSN).
264 0 $c 2017
300 $a 1 online resource (115 pages)
336 $a text $b txt $2 rdacontent
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338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertation Abstracts International, Volume: 79-07(E), Section: A.
500 $a Adviser: Yahong Rosa Zheng.
502 $a Thesis (Ph.D.)--Missouri University of Science and Technology, 2017.
504 $a Includes bibliographical references
520 $a This dissertation focuses on node localization in underwater wireless sensor networks (UWSNs) where anchor nodes have knowledge of their own locations and communicate with sensor nodes in acoustic or magnetic induction (MI) means. The sensor nodes utilize the communication signals and the locations of anchor nodes to locate themselves and propagate their locations through the network.
520 $a For UWSN using MI communications, this dissertation proposes two localization methods: rotation matrix (RM)-based method and the distance-based method. Both methods require only two anchor nodes with arbitrarily oriented tri-directional coils to locate one sensor node in the 3-D space, thus having advantages in a sparse network. Simulation studies show that the RM-based method achieves high localization accuracy, while the distance-based method exhibits less computational complexity.
520 $a For UWSN using acoustic communications, this dissertation proposes a novel multi-hop node localization method in the 2-D and 3-D spaces, respectively. The proposed method estimates Euclidean distances to anchor nodes via multi-hop propagations with the help of angle of arrival (AoA) measurements. Simulation results show that the proposed method achieves better localization accuracy than existing multi-hop methods, with high localization coverage.
520 $a This dissertation also investigates the hardware implementation of acoustic transmitter and receiver, and conducted field experiments with the hardware to estimate ToA using single pseudo-noise (PN) and dual PN(DPN) sequences. Both simulation and field test results show that the DPN sequences outperform the single PNs in severely dispersive channels and when the carrier frequency oset (CFO) is high.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Communication. $3 556422
650 4 $a Electrical engineering. $3 596380
650 4 $a Acoustics. $3 670692
655 7 $a Electronic books. $2 local $3 554714
690 $a 0459
690 $a 0544
690 $a 0986
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a Missouri University of Science and Technology. $b Electrical Engineering. $3 1182390
773 0 $t Dissertation Abstracts International $g 79-07A(E).
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10622566 $z click for full text (PQDT)

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