Efficient node deployment for enhancing coverage and connectivity in Wireless Sensor Networks
Abstract Efficient deployment of Wireless Sensor Networks (WSNs) is critical to ensuring optimal performance across key metrics such as coverage, connectivity, energy efficiency, and network longevity. Traditional deployment strategies such as random, grid-based, and deterministic placements often f...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-08-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-14252-0 |
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| author | Rahul Priyadarshi |
| author_facet | Rahul Priyadarshi |
| author_sort | Rahul Priyadarshi |
| collection | DOAJ |
| description | Abstract Efficient deployment of Wireless Sensor Networks (WSNs) is critical to ensuring optimal performance across key metrics such as coverage, connectivity, energy efficiency, and network longevity. Traditional deployment strategies such as random, grid-based, and deterministic placements often fail to accommodate heterogeneous node capabilities or adapt to dynamic environmental conditions. This study proposes a Particle Swarm Optimization (PSO)-based deployment framework tailored for heterogeneous WSNs. The framework incorporates intelligent role assignment, metaheuristic optimization, and adaptive maintenance phases to balance coverage quality, minimize energy consumption, and enhance fault tolerance. A comprehensive simulation-based evaluation involving nine deployment strategies demonstrates that the proposed PSO-based approach achieves superior performance, including an average coverage of 91.4 ± 1.8%, extended operational lifetime exceeding 3,400 rounds, and improved connectivity robustness. The framework also exhibits strong scalability and resilience in the presence of node failures. These findings establish the proposed deployment model as a viable solution for real-world, large-scale, and energy-constrained WSN applications. |
| format | Article |
| id | doaj-art-7d3643a780a64696bcf19a021a554c66 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-7d3643a780a64696bcf19a021a554c662025-08-20T03:46:07ZengNature PortfolioScientific Reports2045-23222025-08-0115112010.1038/s41598-025-14252-0Efficient node deployment for enhancing coverage and connectivity in Wireless Sensor NetworksRahul Priyadarshi0Faculty of Engineering and Technology, ITER, Siksha ‘O’ Anusandhan (Deemed to be University)Abstract Efficient deployment of Wireless Sensor Networks (WSNs) is critical to ensuring optimal performance across key metrics such as coverage, connectivity, energy efficiency, and network longevity. Traditional deployment strategies such as random, grid-based, and deterministic placements often fail to accommodate heterogeneous node capabilities or adapt to dynamic environmental conditions. This study proposes a Particle Swarm Optimization (PSO)-based deployment framework tailored for heterogeneous WSNs. The framework incorporates intelligent role assignment, metaheuristic optimization, and adaptive maintenance phases to balance coverage quality, minimize energy consumption, and enhance fault tolerance. A comprehensive simulation-based evaluation involving nine deployment strategies demonstrates that the proposed PSO-based approach achieves superior performance, including an average coverage of 91.4 ± 1.8%, extended operational lifetime exceeding 3,400 rounds, and improved connectivity robustness. The framework also exhibits strong scalability and resilience in the presence of node failures. These findings establish the proposed deployment model as a viable solution for real-world, large-scale, and energy-constrained WSN applications.https://doi.org/10.1038/s41598-025-14252-0Wireless sensor networks (WSNs)Deployment optimizationParticle swarm optimization (PSO)Energy efficiencyCoverageHeterogeneous networks |
| spellingShingle | Rahul Priyadarshi Efficient node deployment for enhancing coverage and connectivity in Wireless Sensor Networks Scientific Reports Wireless sensor networks (WSNs) Deployment optimization Particle swarm optimization (PSO) Energy efficiency Coverage Heterogeneous networks |
| title | Efficient node deployment for enhancing coverage and connectivity in Wireless Sensor Networks |
| title_full | Efficient node deployment for enhancing coverage and connectivity in Wireless Sensor Networks |
| title_fullStr | Efficient node deployment for enhancing coverage and connectivity in Wireless Sensor Networks |
| title_full_unstemmed | Efficient node deployment for enhancing coverage and connectivity in Wireless Sensor Networks |
| title_short | Efficient node deployment for enhancing coverage and connectivity in Wireless Sensor Networks |
| title_sort | efficient node deployment for enhancing coverage and connectivity in wireless sensor networks |
| topic | Wireless sensor networks (WSNs) Deployment optimization Particle swarm optimization (PSO) Energy efficiency Coverage Heterogeneous networks |
| url | https://doi.org/10.1038/s41598-025-14252-0 |
| work_keys_str_mv | AT rahulpriyadarshi efficientnodedeploymentforenhancingcoverageandconnectivityinwirelesssensornetworks |