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Sensor Selection Without Inter-Senso...

Fang, Xubin.

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Sensor Selection Without Inter-Sensor Communication Based on Observed Sensor Data.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Sensor Selection Without Inter-Sensor Communication Based on Observed Sensor Data./
Author:	Fang, Xubin.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
Description:	36 p.
Notes:	Source: Masters Abstracts International, Volume: 84-11.
Contained By:	Masters Abstracts International84-11.
Subject:	Electrical engineering. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30487061
ISBN:	9798379559069

Sensor Selection Without Inter-Sensor Communication Based on Observed Sensor Data.
Fang, Xubin.

Sensor Selection Without Inter-Sensor Communication Based on Observed Sensor Data. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 36 p.

Source: Masters Abstracts International, Volume: 84-11.

Thesis (M.S.)--Lehigh University, 2023.

This item must not be sold to any third party vendors.

Reducing the number of transmissions in a wireless sensor network (WSN) to improve its energy efficiency has always been of great interest. We consider a new approach where only a fixed number of sensors will send data to the fusion center. We provide proofs and numerical results on the optimality of this approach in the case of selecting one out of two sensors. We also demonstrate numerically, the significant gains of this approach in the case of selecting 1 out of N sensors when compared to random selection, in terms of the perspective of the accuracy of decision making. We also show the performance of an approach for selecting m out of N sensors.

ISBN: 9798379559069Subjects--Topical Terms:

649834
Electrical engineering.
Subjects--Index Terms:

Energy efficiency

Sensor Selection Without Inter-Sensor Communication Based on Observed Sensor Data.
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100 1 $a Fang, Xubin. $3 3767153
245 1 0 $a Sensor Selection Without Inter-Sensor Communication Based on Observed Sensor Data.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2023
300 $a 36 p.
500 $a Source: Masters Abstracts International, Volume: 84-11.
500 $a Advisor: Blum, Rick;Xiao, Chengshan.
502 $a Thesis (M.S.)--Lehigh University, 2023.
506 $a This item must not be sold to any third party vendors.
520 $a Reducing the number of transmissions in a wireless sensor network (WSN) to improve its energy efficiency has always been of great interest. We consider a new approach where only a fixed number of sensors will send data to the fusion center. We provide proofs and numerical results on the optimality of this approach in the case of selecting one out of two sensors. We also demonstrate numerically, the significant gains of this approach in the case of selecting 1 out of N sensors when compared to random selection, in terms of the perspective of the accuracy of decision making. We also show the performance of an approach for selecting m out of N sensors.
590 $a School code: 0105.
650 4 $a Electrical engineering. $3 649834
650 4 $a Acoustics. $3 879105
653 $a Energy efficiency
653 $a Sensor selection
653 $a Wireless sensor network
653 $a Transmissions
653 $a Sensors
690 $a 0544
690 $a 0986
710 2 $a Lehigh University. $b Electrical Engineering. $3 1022507
773 0 $t Masters Abstracts International $g 84-11.
790 $a 0105
791 $a M.S.
792 $a 2023
793 $a English
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30487061