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114698

SENSING COVERAGE AND OPTIMAL POWER ASSIGNMENT IN WIRELESS SENSOR NETWORKS

Article

Last updated: 26 Dec 2024

Subjects

-

Tags

Electrical Engineering, Computer Engineering and Electrical power and machines engineering.

Abstract

This paper addressed the sensing coverage problem in wireless sensor networks. A sensing coverage range estimation scheme is presented and analytically validated. In presence of channel fading, we have also proposed a Lagrange based, optimal power assignment algorithm that guarantees a predefined probability of detection over the sensor-to-fusion center communication channels at a given probability of false alarm. Analytic results reflect the effectiveness of the proposed algorithms which tries to make the network operational point falls in the feasible SNR region at the lowest (optimal) transmission energy consumption.

DOI

10.21608/jesaun.2013.114698

Keywords

Wireless Sensor Networks, Sensing coverage, Constraint optimization, Adaptive power assignment

Authors

First Name

Hesham

Last Name

Badr

MiddleName

-

Affiliation

Ass. Prof., Electronics, Communications and Computer Department, Faculty of Engineering, Helwan, Cairo

Email

-

City

-

Orcid

-

First Name

Gamal Abdel Fadeeel

Last Name

khalaf

MiddleName

-

Affiliation

Prof., Electronics, Communications and computer Department, Faculty of Engineering, Helwan, Cairo

Email

-

City

-

Orcid

-

Volume

41

Article Issue

No 1

Related Issue

16627

Issue Date

2013-01-01

Receive Date

2012-08-12

Publish Date

2013-01-01

Page Start

159

Page End

169

Print ISSN

1687-0530

Online ISSN

2356-8550

Link

https://jesaun.journals.ekb.eg/article_114698.html

Detail API

https://jesaun.journals.ekb.eg/service?article_code=114698

Order

9

Type

Research Paper

Type Code

1,438

Publication Type

Journal

Publication Title

JES. Journal of Engineering Sciences

Publication Link

https://jesaun.journals.ekb.eg/

MainTitle

SENSING COVERAGE AND OPTIMAL POWER ASSIGNMENT IN WIRELESS SENSOR NETWORKS

Details

Type

Article

Created At

23 Jan 2023