Accurate 3-D Localization of Selected Smart Objects in Optical Internet of Underwater Things

Nasir Saeed; Mohamed Slim Alouini; Tareq Y. Al-Naffouri

doi:10.1109/JIOT.2019.2946270

Accurate 3-D Localization of Selected Smart Objects in Optical Internet of Underwater Things

Nasir Saeed^*, Mohamed Slim Alouini, Tareq Y. Al-Naffouri

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

26 Scopus citations

Abstract

Localization is a fundamental task for the optical Internet of Underwater Things (O-IoUT) to enable various applications, such as data tagging, routing, navigation, and maintaining link connectivity. The accuracy of the localization techniques for O-IoUT greatly relies on the location of the anchors. Therefore, recently, the localization techniques for O-IoUT which optimize the anchor's location have been proposed. However, the optimization of the anchors' location for all the smart objects in the network is not a useful solution. Indeed, in a network of densely populated smart objects, the data collected by some sensors are more valuable than the data collected from other sensors. Therefore, in this article, we propose a 3-D accurate localization technique by optimizing the anchor's location for a set of smart objects. Spectral graph partitioning is used to select the set of valuable sensors. The numerical results show that the proposed technique of optimizing anchor's location for a set of selected sensors provides a better location accuracy.

Original language	English (US)
Article number	8862956
Pages (from-to)	937-947
Number of pages	11
Journal	IEEE Internet of Things Journal
Volume	7
Issue number	2
DOIs	https://doi.org/10.1109/JIOT.2019.2946270
State	Published - Feb 2020

Bibliographical note

Funding Information:
Manuscript received September 15, 2019; accepted October 5, 2019. Date of publication October 8, 2019; date of current version February 11, 2020. This work was supported by the Office of Sponsored Research at King Abdullah University of Science and Technology. (Corresponding author: Nasir Saeed.) The authors are with the Department of Electrical Engineering, Computer Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia (e-mail: [email protected]). Digital Object Identifier 10.1109/JIOT.2019.2946270

Publisher Copyright:
© 2014 IEEE.

Keywords

Anchor's location
data tagging
localization
optical Internet of Underwater Things (O-IoUT)
routing

ASJC Scopus subject areas

Signal Processing
Information Systems
Hardware and Architecture
Computer Science Applications
Computer Networks and Communications

Access to Document

10.1109/JIOT.2019.2946270

Cite this

@article{6920ca17d195445d8bae90e00d9e1def,

title = "Accurate 3-D Localization of Selected Smart Objects in Optical Internet of Underwater Things",

abstract = "Localization is a fundamental task for the optical Internet of Underwater Things (O-IoUT) to enable various applications, such as data tagging, routing, navigation, and maintaining link connectivity. The accuracy of the localization techniques for O-IoUT greatly relies on the location of the anchors. Therefore, recently, the localization techniques for O-IoUT which optimize the anchor's location have been proposed. However, the optimization of the anchors' location for all the smart objects in the network is not a useful solution. Indeed, in a network of densely populated smart objects, the data collected by some sensors are more valuable than the data collected from other sensors. Therefore, in this article, we propose a 3-D accurate localization technique by optimizing the anchor's location for a set of smart objects. Spectral graph partitioning is used to select the set of valuable sensors. The numerical results show that the proposed technique of optimizing anchor's location for a set of selected sensors provides a better location accuracy.",

keywords = "Anchor's location, data tagging, localization, optical Internet of Underwater Things (O-IoUT), routing",

author = "Nasir Saeed and Alouini, {Mohamed Slim} and Al-Naffouri, {Tareq Y.}",

note = "Funding Information: Manuscript received September 15, 2019; accepted October 5, 2019. Date of publication October 8, 2019; date of current version February 11, 2020. This work was supported by the Office of Sponsored Research at King Abdullah University of Science and Technology. (Corresponding author: Nasir Saeed.) The authors are with the Department of Electrical Engineering, Computer Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia (e-mail: [email protected]). Digital Object Identifier 10.1109/JIOT.2019.2946270 Publisher Copyright: {\textcopyright} 2014 IEEE.",

year = "2020",

month = feb,

doi = "10.1109/JIOT.2019.2946270",

language = "English (US)",

volume = "7",

pages = "937--947",

journal = "IEEE Internet of Things Journal",

issn = "2327-4662",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "2",

}

TY - JOUR

T1 - Accurate 3-D Localization of Selected Smart Objects in Optical Internet of Underwater Things

AU - Saeed, Nasir

AU - Alouini, Mohamed Slim

AU - Al-Naffouri, Tareq Y.

N1 - Funding Information: Manuscript received September 15, 2019; accepted October 5, 2019. Date of publication October 8, 2019; date of current version February 11, 2020. This work was supported by the Office of Sponsored Research at King Abdullah University of Science and Technology. (Corresponding author: Nasir Saeed.) The authors are with the Department of Electrical Engineering, Computer Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia (e-mail: [email protected]). Digital Object Identifier 10.1109/JIOT.2019.2946270 Publisher Copyright: © 2014 IEEE.

PY - 2020/2

Y1 - 2020/2

N2 - Localization is a fundamental task for the optical Internet of Underwater Things (O-IoUT) to enable various applications, such as data tagging, routing, navigation, and maintaining link connectivity. The accuracy of the localization techniques for O-IoUT greatly relies on the location of the anchors. Therefore, recently, the localization techniques for O-IoUT which optimize the anchor's location have been proposed. However, the optimization of the anchors' location for all the smart objects in the network is not a useful solution. Indeed, in a network of densely populated smart objects, the data collected by some sensors are more valuable than the data collected from other sensors. Therefore, in this article, we propose a 3-D accurate localization technique by optimizing the anchor's location for a set of smart objects. Spectral graph partitioning is used to select the set of valuable sensors. The numerical results show that the proposed technique of optimizing anchor's location for a set of selected sensors provides a better location accuracy.

AB - Localization is a fundamental task for the optical Internet of Underwater Things (O-IoUT) to enable various applications, such as data tagging, routing, navigation, and maintaining link connectivity. The accuracy of the localization techniques for O-IoUT greatly relies on the location of the anchors. Therefore, recently, the localization techniques for O-IoUT which optimize the anchor's location have been proposed. However, the optimization of the anchors' location for all the smart objects in the network is not a useful solution. Indeed, in a network of densely populated smart objects, the data collected by some sensors are more valuable than the data collected from other sensors. Therefore, in this article, we propose a 3-D accurate localization technique by optimizing the anchor's location for a set of smart objects. Spectral graph partitioning is used to select the set of valuable sensors. The numerical results show that the proposed technique of optimizing anchor's location for a set of selected sensors provides a better location accuracy.

KW - Anchor's location

KW - data tagging

KW - localization

KW - optical Internet of Underwater Things (O-IoUT)

KW - routing

UR - http://www.scopus.com/inward/record.url?scp=85079793294&partnerID=8YFLogxK

U2 - 10.1109/JIOT.2019.2946270

DO - 10.1109/JIOT.2019.2946270

M3 - Article

AN - SCOPUS:85079793294

SN - 2327-4662

VL - 7

SP - 937

EP - 947

JO - IEEE Internet of Things Journal

JF - IEEE Internet of Things Journal

IS - 2

M1 - 8862956

ER -

Accurate 3-D Localization of Selected Smart Objects in Optical Internet of Underwater Things

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this