WHOOPH: whale optimization-based optimal placement of hub node within a WBAN Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.1038/s41598-024-53889-1
Biosensor nodes of a wireless body area network (WBAN) transmit physiological parameter data to a central hub node, spending a substantial portion of their energy. Therefore, it is crucial to determine an optimal location for hub placement to minimize node energy consumption in data transmission. Existing methods determine the optimal hub location by sequentially placing the hub at multiple random locations within the WBAN. Performance measures like link reliability or overall node energy consumption in data transmission are estimated for each hub location. The best-performing location is finally selected for hub placement. Such methods are time-consuming. Moreover, the involvement of other nodes in the process of hub placement results in an undesirable loss of network energy. This paper shows the whale optimization algorithm (WOA)-based hub placement scheme. This scheme directly gives the best location for the hub in the least amount of time and with the least amount of help from other nodes. The presented scheme incorporates a population of candidate solutions called "whale search agents". These agents carry out the iterative steps of encircling the prey (identifying the best candidate solution), bubble-net feeding (exploitation phase), and random prey search (exploration phase). The WOA-based model eventually converges into an optimized solution that determines the optimal location for hub placement. The resultant hub location minimizes the overall amount of energy consumed by the WBAN nodes for data transmission, which ultimately results in an elongated lifespan of WBAN operation. The results show that the proposed WOA-based hub placement scheme outperforms various state-of-the-art related WBAN protocols by achieving a network lifetime of 8937 data transmission rounds with 93.8% network throughput and 9.74 ms network latency.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1038/s41598-024-53889-1
- https://www.nature.com/articles/s41598-024-53889-1.pdf
- OA Status
- gold
- Cited By
- 11
- References
- 24
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4391721899
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4391721899Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1038/s41598-024-53889-1Digital Object Identifier
- Title
-
WHOOPH: whale optimization-based optimal placement of hub node within a WBANWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-02-10Full publication date if available
- Authors
-
Shubham Shukla, Vibhav Kumar Sachan, Anurag Sinha, Saroj Kumar Pandey, G. M. Narasimha Rao, Mohd Asif Shah, Amit Choudhary, Balram TamrakarList of authors in order
- Landing page
-
https://doi.org/10.1038/s41598-024-53889-1Publisher landing page
- PDF URL
-
https://www.nature.com/articles/s41598-024-53889-1.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.nature.com/articles/s41598-024-53889-1.pdfDirect OA link when available
- Concepts
-
Computer science, Node (physics), Energy consumption, Transmission (telecommunications), Whale, Body area network, Wireless sensor network, Data transmission, Energy (signal processing), Reliability (semiconductor), Bat algorithm, Real-time computing, Computer network, Mathematical optimization, Telecommunications, Algorithm, Engineering, Mathematics, Ecology, Biology, Structural engineering, Electrical engineering, Quantum mechanics, Physics, Statistics, Power (physics), Particle swarm optimizationTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
11Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 5, 2024: 6Per-year citation counts (last 5 years)
- References (count)
-
24Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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