Teekaraman, Y. orcid.org/0000-0003-4297-3460, Manoharan, H. and Kuppusamy, R. (2023) Examining the effect of intellectual devices for healthiness using flower bee algorithm. Neural Computing and Applications, 35 (31). pp. 22971-22987. ISSN: 0941-0643
Abstract
In modern days, for the perseverance of monitoring the vigor of a specific individual, the Wireless Body Sensor Networks have been emerging as an auspicious platform. The foremost challenge such as energy, path loss, and transmission distance that is prevalent from early days has been addressed in this article. The focal notion specified in this exploration is to discover the sensor locations on a human body that is much suitable for interconnecting the information about the intact body thus satisfying all the objectives. The focal difference between the proposed technique and the existing methods is that the projected methodology enacts multiple objectives as an alternative of distinct impartial. Further, the problem of finding the locations of sensors has been executed on an online monitoring system using MATLAB platform where the consequences are found to be improved practically for about 65% when compared with existing literature.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © The Author(s) 2022. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
Keywords: | Wireless Body Sensors Networks (WBSN); Automatic monitoring; Communicating nodes; Medical diagnosis; Internet of Things (IoT) |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 22 Aug 2025 10:25 |
Last Modified: | 22 Aug 2025 10:25 |
Status: | Published |
Publisher: | Springer Science and Business Media LLC |
Refereed: | Yes |
Identification Number: | 10.1007/s00521-022-07172-x |
Sustainable Development Goals: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:230676 |