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

Record Type:	Language materials, manuscript : Monograph/item
Title/Author:	Sensor Selection Without Inter-Sensor Communication Based on Observed Sensor Data./
Author:	Fang, Xubin.
Description:	1 online resource (36 pages)
Notes:	Source: Masters Abstracts International, Volume: 84-11.
Contained By:	Masters Abstracts International84-11.
Subject:	Electrical engineering. -
Online resource:	click for full text (PQDT)
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. - 1 online resource (36 pages)

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

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

Includes bibliographical references

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.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2024

Mode of access: World Wide Web

ISBN: 9798379559069Subjects--Topical Terms:

596380
Electrical engineering.
Subjects--Index Terms:

Energy efficiencyIndex Terms--Genre/Form:

554714
Electronic books.

Sensor Selection Without Inter-Sensor Communication Based on Observed Sensor Data.
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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.
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653 $a Wireless sensor network
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653 $a Sensors
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