Geometrically Efficient Sensor Placement for Enhanced Coverage in Wireless Sensor Networks Using Spatial Arrangement Algorithms.
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| Title: | Geometrically Efficient Sensor Placement for Enhanced Coverage in Wireless Sensor Networks Using Spatial Arrangement Algorithms. |
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| Authors: | Sree, Kaki Ramya1 (AUTHOR) ramya19.sree@vvit.net, Pamula, Vinay Kumar1 (AUTHOR), Wu, Chase1 (AUTHOR) chase.wu@njit.edu |
| Source: | International Journal of Distributed Sensor Networks. 5/25/2026, Vol. 2026, p1-17. 17p. |
| Subjects: | Sensor placement, Spatial arrangement, Energy consumption, Clustering algorithms, Wireless sensor networks, Network performance |
| Abstract: | Sensor placement is important for wireless sensor networks (WSNs) to obtain high coverage and energy efficiency. This paper presents a hybrid sensor deployment approach, in which circle packing theory is combined with an energy‐efficient clustering algorithm (LEACH‐C) for enhanced sensor coverage and energy efficiency. The proposed scheme is based on leveraging the geometric compactness of hexagonal spatial arrangements to decrease redundancy and communication overhead rather than conventional region‐based or metaheuristic‐based approaches. By applying LEACH‐C clustering, the network lifetime is improved via load balancing between nodes. Based on extended statistical and simulation‐based data, this approach shows better performance than classical placement methods in coverage efficiency, network longevity, and scalability. This method allows connecting geometric deployment models and practical applications of WSN while providing a scalable foundation for smart cities, environmental monitoring, and industrial automation applications. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Distributed Sensor Networks is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 194010990 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Geometrically Efficient Sensor Placement for Enhanced Coverage in Wireless Sensor Networks Using Spatial Arrangement Algorithms. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Sree%2C+Kaki+Ramya%22">Sree, Kaki Ramya</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> ramya19.sree@vvit.net</i><br /><searchLink fieldCode="AR" term="%22Pamula%2C+Vinay+Kumar%22">Pamula, Vinay Kumar</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wu%2C+Chase%22">Wu, Chase</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> chase.wu@njit.edu</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Distributed+Sensor+Networks%22">International Journal of Distributed Sensor Networks</searchLink>. 5/25/2026, Vol. 2026, p1-17. 17p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Sensor+placement%22">Sensor placement</searchLink><br /><searchLink fieldCode="DE" term="%22Spatial+arrangement%22">Spatial arrangement</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22Clustering+algorithms%22">Clustering algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Wireless+sensor+networks%22">Wireless sensor networks</searchLink><br /><searchLink fieldCode="DE" term="%22Network+performance%22">Network performance</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Sensor placement is important for wireless sensor networks (WSNs) to obtain high coverage and energy efficiency. This paper presents a hybrid sensor deployment approach, in which circle packing theory is combined with an energy‐efficient clustering algorithm (LEACH‐C) for enhanced sensor coverage and energy efficiency. The proposed scheme is based on leveraging the geometric compactness of hexagonal spatial arrangements to decrease redundancy and communication overhead rather than conventional region‐based or metaheuristic‐based approaches. By applying LEACH‐C clustering, the network lifetime is improved via load balancing between nodes. Based on extended statistical and simulation‐based data, this approach shows better performance than classical placement methods in coverage efficiency, network longevity, and scalability. This method allows connecting geometric deployment models and practical applications of WSN while providing a scalable foundation for smart cities, environmental monitoring, and industrial automation applications. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Distributed Sensor Networks is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1155/dsn/7756405 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 1 Subjects: – SubjectFull: Sensor placement Type: general – SubjectFull: Spatial arrangement Type: general – SubjectFull: Energy consumption Type: general – SubjectFull: Clustering algorithms Type: general – SubjectFull: Wireless sensor networks Type: general – SubjectFull: Network performance Type: general Titles: – TitleFull: Geometrically Efficient Sensor Placement for Enhanced Coverage in Wireless Sensor Networks Using Spatial Arrangement Algorithms. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sree, Kaki Ramya – PersonEntity: Name: NameFull: Pamula, Vinay Kumar – PersonEntity: Name: NameFull: Wu, Chase IsPartOfRelationships: – BibEntity: Dates: – D: 25 M: 05 Text: 5/25/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 15501329 Numbering: – Type: volume Value: 2026 Titles: – TitleFull: International Journal of Distributed Sensor Networks Type: main |
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