Virtual Multiple‐Input Multiple‐Output–Based Optimized Cross‐Layer Design for Wireless Sensor Networks.
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| Title: | Virtual Multiple‐Input Multiple‐Output–Based Optimized Cross‐Layer Design for Wireless Sensor Networks. |
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| Authors: | Prajapati, Monali R.1 (AUTHOR) monalimandli79@gmail.com, Joshi, Jay M.2 (AUTHOR), Joshi, Maulin M.3 (AUTHOR), Dalal, Upena Devang4 (AUTHOR) |
| Source: | International Journal of Communication Systems. 1/10/2026, Vol. 39 Issue 1, p1-26. 26p. |
| Subjects: | Wireless sensor networks, Cross layer optimization, MIMO systems, Mathematical optimization, Energy consumption, K-means clustering, Quality of service, Data transmission systems |
| Abstract: | Wireless sensor networks (WSNs) essentially aid in numerous medical and networking applications. However, they face challenges, such as the availability of limited energy resources and the need to satisfy varying service quality requirements with efficient data transmission. Most of the traditional methods used to deal with these challenges often consume significant energy, limiting the operational lifespan of the sensor nodes. Hence, our research attempts to overcome the limitations in the existing WSN solutions by proposing a cross‐layer design (CLD) with a novel algorithmic optimization, focusing more on energy efficiency and communication optimization. The novel beluga whale–adapted Namib beetle optimization (BWANBO) presented here effectively addresses the complex optimization challenges in WSNs by balancing multiple conflicting objectives, such as maximizing data rates, minimizing energy consumption, and ensuring reliable communication under varying network conditions. Additionally, k‐means clustering is employed to form the clusters of nodes, and BWANBO uses parameters, like node energy, quality of service (QoS), improved trust, and security, to select the cluster head (CH). Integrating the novel virtual multiple‐input multiple‐output (MIMO) technology with the optimized CLD framework, this research simultaneously aims to reduce the transmission energy, boost the data rates, and improve the communication among diverse protocol layers. The resultant expression is a significant extension in the operational lifespan of the sensor nodes. Finally, the outcomes reveal that the BWANBO algorithm effectively optimizes the bit error rate (BER) performance, under the consideration of end‐to‐end (ETE) throughput and latency. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Communication Systems 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 |
| FullText | Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 189914203 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Virtual Multiple‐Input Multiple‐Output–Based Optimized Cross‐Layer Design for Wireless Sensor Networks. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Prajapati%2C+Monali+R%2E%22">Prajapati, Monali R.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> monalimandli79@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Joshi%2C+Jay+M%2E%22">Joshi, Jay M.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Joshi%2C+Maulin+M%2E%22">Joshi, Maulin M.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Dalal%2C+Upena+Devang%22">Dalal, Upena Devang</searchLink><relatesTo>4</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Communication+Systems%22">International Journal of Communication Systems</searchLink>. 1/10/2026, Vol. 39 Issue 1, p1-26. 26p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Wireless+sensor+networks%22">Wireless sensor networks</searchLink><br /><searchLink fieldCode="DE" term="%22Cross+layer+optimization%22">Cross layer optimization</searchLink><br /><searchLink fieldCode="DE" term="%22MIMO+systems%22">MIMO systems</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+optimization%22">Mathematical optimization</searchLink><br /><searchLink fieldCode="DE" term="%22Energy+consumption%22">Energy consumption</searchLink><br /><searchLink fieldCode="DE" term="%22K-means+clustering%22">K-means clustering</searchLink><br /><searchLink fieldCode="DE" term="%22Quality+of+service%22">Quality of service</searchLink><br /><searchLink fieldCode="DE" term="%22Data+transmission+systems%22">Data transmission systems</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Wireless sensor networks (WSNs) essentially aid in numerous medical and networking applications. However, they face challenges, such as the availability of limited energy resources and the need to satisfy varying service quality requirements with efficient data transmission. Most of the traditional methods used to deal with these challenges often consume significant energy, limiting the operational lifespan of the sensor nodes. Hence, our research attempts to overcome the limitations in the existing WSN solutions by proposing a cross‐layer design (CLD) with a novel algorithmic optimization, focusing more on energy efficiency and communication optimization. The novel beluga whale–adapted Namib beetle optimization (BWANBO) presented here effectively addresses the complex optimization challenges in WSNs by balancing multiple conflicting objectives, such as maximizing data rates, minimizing energy consumption, and ensuring reliable communication under varying network conditions. Additionally, k‐means clustering is employed to form the clusters of nodes, and BWANBO uses parameters, like node energy, quality of service (QoS), improved trust, and security, to select the cluster head (CH). Integrating the novel virtual multiple‐input multiple‐output (MIMO) technology with the optimized CLD framework, this research simultaneously aims to reduce the transmission energy, boost the data rates, and improve the communication among diverse protocol layers. The resultant expression is a significant extension in the operational lifespan of the sensor nodes. Finally, the outcomes reveal that the BWANBO algorithm effectively optimizes the bit error rate (BER) performance, under the consideration of end‐to‐end (ETE) throughput and latency. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Communication Systems 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: 10.1002/dac.70313 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 26 StartPage: 1 Subjects: – SubjectFull: Wireless sensor networks Type: general – SubjectFull: Cross layer optimization Type: general – SubjectFull: MIMO systems Type: general – SubjectFull: Mathematical optimization Type: general – SubjectFull: Energy consumption Type: general – SubjectFull: K-means clustering Type: general – SubjectFull: Quality of service Type: general – SubjectFull: Data transmission systems Type: general Titles: – TitleFull: Virtual Multiple‐Input Multiple‐Output–Based Optimized Cross‐Layer Design for Wireless Sensor Networks. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Prajapati, Monali R. – PersonEntity: Name: NameFull: Joshi, Jay M. – PersonEntity: Name: NameFull: Joshi, Maulin M. – PersonEntity: Name: NameFull: Dalal, Upena Devang IsPartOfRelationships: – BibEntity: Dates: – D: 10 M: 01 Text: 1/10/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 10745351 Numbering: – Type: volume Value: 39 – Type: issue Value: 1 Titles: – TitleFull: International Journal of Communication Systems Type: main |
| ResultId | 1 |
