Edge Version of Doubly Resolving Sets for Grid and Generalized Prism Networks

Monitoring and controlling complex networks is of great importance to understand different types of technological and physical systems for source localization. Source localization refers to the process of determining the location or position of a signal source in space based on measurements obtained...

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Main Authors: Ruby Nasir, Muhammad Ahmad, Zohaib Zahid, Muhammad Javaid, Mamo Abebe Ashebo
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/10411913/
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author Ruby Nasir
Muhammad Ahmad
Zohaib Zahid
Muhammad Javaid
Mamo Abebe Ashebo
author_facet Ruby Nasir
Muhammad Ahmad
Zohaib Zahid
Muhammad Javaid
Mamo Abebe Ashebo
author_sort Ruby Nasir
collection DOAJ
description Monitoring and controlling complex networks is of great importance to understand different types of technological and physical systems for source localization. Source localization refers to the process of determining the location or position of a signal source in space based on measurements obtained from multiple sensors. Doubly resolving sets, also known as doubly-resolving arrays, are a particular type of sensor configuration that can enhance the accuracy of source localization. In other words, source localization in a network is equivalent to calculating minimal doubly resolving sets (mDRS) in a network. The concept of the minimal edge version of doubly resolving sets (evDRS) is extension of mDRS. In this article, we take into account the optimization problem of locating the evDRSs for the classes of generalized prism and grid networks. Also, it is demonstrated that the evDRSs for the classes of generalized prisms and grid networks have constant cardinality. This research presents a novel approach with implications for complex network structures such as, network security and communication systems. Furthermore, the findings may have broader implications for diverse fields such as sensor networks, telecommunications, and distributed computing, where prism and grid-like structures are prevalent. The suggested approach may help to improve network optimization and facilitate more robust and reliable grid-based systems.
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spelling doaj.art-79e91936b6ab419aad4831308bac208b2024-02-13T00:01:30ZengIEEEIEEE Access2169-35362024-01-0112205092051610.1109/ACCESS.2024.335714710411913Edge Version of Doubly Resolving Sets for Grid and Generalized Prism NetworksRuby Nasir0Muhammad Ahmad1https://orcid.org/0000-0002-8989-2847Zohaib Zahid2Muhammad Javaid3https://orcid.org/0000-0001-7241-8172Mamo Abebe Ashebo4https://orcid.org/0000-0001-8096-0893Department of Mathematics, School of Science, University of Management and Technology, Lahore, PakistanDepartment of Mathematics, School of Science, University of Management and Technology, Lahore, PakistanDepartment of Mathematics, School of Science, University of Management and Technology, Lahore, PakistanDepartment of Mathematics, School of Science, University of Management and Technology, Lahore, PakistanDepartment of Mathematics, Wollega University, Nekemte, EthiopiaMonitoring and controlling complex networks is of great importance to understand different types of technological and physical systems for source localization. Source localization refers to the process of determining the location or position of a signal source in space based on measurements obtained from multiple sensors. Doubly resolving sets, also known as doubly-resolving arrays, are a particular type of sensor configuration that can enhance the accuracy of source localization. In other words, source localization in a network is equivalent to calculating minimal doubly resolving sets (mDRS) in a network. The concept of the minimal edge version of doubly resolving sets (evDRS) is extension of mDRS. In this article, we take into account the optimization problem of locating the evDRSs for the classes of generalized prism and grid networks. Also, it is demonstrated that the evDRSs for the classes of generalized prisms and grid networks have constant cardinality. This research presents a novel approach with implications for complex network structures such as, network security and communication systems. Furthermore, the findings may have broader implications for diverse fields such as sensor networks, telecommunications, and distributed computing, where prism and grid-like structures are prevalent. The suggested approach may help to improve network optimization and facilitate more robust and reliable grid-based systems.https://ieeexplore.ieee.org/document/10411913/Grid networksgeneralized prism networksline networksdoubly resolving setsedge computing
spellingShingle Ruby Nasir
Muhammad Ahmad
Zohaib Zahid
Muhammad Javaid
Mamo Abebe Ashebo
Edge Version of Doubly Resolving Sets for Grid and Generalized Prism Networks
IEEE Access
Grid networks
generalized prism networks
line networks
doubly resolving sets
edge computing
title Edge Version of Doubly Resolving Sets for Grid and Generalized Prism Networks
title_full Edge Version of Doubly Resolving Sets for Grid and Generalized Prism Networks
title_fullStr Edge Version of Doubly Resolving Sets for Grid and Generalized Prism Networks
title_full_unstemmed Edge Version of Doubly Resolving Sets for Grid and Generalized Prism Networks
title_short Edge Version of Doubly Resolving Sets for Grid and Generalized Prism Networks
title_sort edge version of doubly resolving sets for grid and generalized prism networks
topic Grid networks
generalized prism networks
line networks
doubly resolving sets
edge computing
url https://ieeexplore.ieee.org/document/10411913/
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AT zohaibzahid edgeversionofdoublyresolvingsetsforgridandgeneralizedprismnetworks
AT muhammadjavaid edgeversionofdoublyresolvingsetsforgridandgeneralizedprismnetworks
AT mamoabebeashebo edgeversionofdoublyresolvingsetsforgridandgeneralizedprismnetworks