Develop the ubiquitous computing wearable IoT devices using IoT-distributed framework
Body Area Sensor Network (BASN) communication methods meet clients' multi-level requirements through Wearable Internet of Things (WIoT) systems. Transparency at management levels, heterogeneous support, and distributed communication to users are requirements of the PCS. Providing essential func...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-02-01
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| Series: | Measurement: Sensors |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2665917423003185 |
| _version_ | 1827373951456641024 |
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| author | J. Ashok S. Purushothaman Purnendu Shekhar Pandey K. Praveena Chetan Pandey J. Muralidharan |
| author_facet | J. Ashok S. Purushothaman Purnendu Shekhar Pandey K. Praveena Chetan Pandey J. Muralidharan |
| author_sort | J. Ashok |
| collection | DOAJ |
| description | Body Area Sensor Network (BASN) communication methods meet clients' multi-level requirements through Wearable Internet of Things (WIoT) systems. Transparency at management levels, heterogeneous support, and distributed communication to users are requirements of the PCS. Providing essential functions is a serious problem. A flexible Ubiquitous Computing (UC) architecture presented in this study is used to improve the reliability of end-user communication in the WIoT-based health sensor approach. According to this method, demand and sharing variables provide the foundation for the evaluation of resource allocation through recurrent learning. A proposed method could be used to implement end-user mobility management on WIoT healthcare sensors for data transmission, resource allocation and sharing. To show the integrity of the approach, some parameters were used in the actual evaluation and performance predictions. In the ubiquitous ecosystem, the uninterrupted flow was guaranteed to reduce the likelihood of a request being blocked. Memory control to density assignment at the framework level through storage management helps reduce backlogs and failures when allocating resources. The proposed approach enhances storage utilization, bandwidth, and request management besides lowering connection speed, backlogs, and request failure compared to the existing systems. |
| first_indexed | 2024-03-08T11:25:16Z |
| format | Article |
| id | doaj.art-f823da7025a14f39aea4a43b8bb4e231 |
| institution | Directory Open Access Journal |
| issn | 2665-9174 |
| language | English |
| last_indexed | 2024-03-08T11:25:16Z |
| publishDate | 2024-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Measurement: Sensors |
| spelling | doaj.art-f823da7025a14f39aea4a43b8bb4e2312024-01-26T05:34:55ZengElsevierMeasurement: Sensors2665-91742024-02-0131100982Develop the ubiquitous computing wearable IoT devices using IoT-distributed frameworkJ. Ashok0S. Purushothaman1Purnendu Shekhar Pandey2K. Praveena3Chetan Pandey4J. Muralidharan5Department of Computer Science and Engineering (Internet of Things and Cyber Security including Blockchain Technology), Annasaheb Dange College of Engineering and Technology, Astha sangli, Maharashtra, India; Corresponding author.Department of Management Studies, Easwari Engineering College, Ramapuram, Chennai, Tamilnadu, IndiaDepartment of Business Analytics, Jaipuria Institute of Management, Vineet Khand, Gomtinagar, Lucknow, Uttar Pradesh-226010, IndiaDepartment of ECE, Sree Vidyanikethan Engineering College, Mohan Babu University, Tirupati, IndiaSchool of Computing, Graphic Era Hill University, Dehradun, R/S, Graphic Era Deemed to be University, Dehradun, 248002, IndiaDepartment of Electronics and Communication Engineering, KPR Institute of Engineering and Technology, Arasur, Coimbatore, 641407, Tamilnadu, IndiaBody Area Sensor Network (BASN) communication methods meet clients' multi-level requirements through Wearable Internet of Things (WIoT) systems. Transparency at management levels, heterogeneous support, and distributed communication to users are requirements of the PCS. Providing essential functions is a serious problem. A flexible Ubiquitous Computing (UC) architecture presented in this study is used to improve the reliability of end-user communication in the WIoT-based health sensor approach. According to this method, demand and sharing variables provide the foundation for the evaluation of resource allocation through recurrent learning. A proposed method could be used to implement end-user mobility management on WIoT healthcare sensors for data transmission, resource allocation and sharing. To show the integrity of the approach, some parameters were used in the actual evaluation and performance predictions. In the ubiquitous ecosystem, the uninterrupted flow was guaranteed to reduce the likelihood of a request being blocked. Memory control to density assignment at the framework level through storage management helps reduce backlogs and failures when allocating resources. The proposed approach enhances storage utilization, bandwidth, and request management besides lowering connection speed, backlogs, and request failure compared to the existing systems.http://www.sciencedirect.com/science/article/pii/S2665917423003185Ubiquitous computingWearable IotStorage managementScalable networkMedical sensors |
| spellingShingle | J. Ashok S. Purushothaman Purnendu Shekhar Pandey K. Praveena Chetan Pandey J. Muralidharan Develop the ubiquitous computing wearable IoT devices using IoT-distributed framework Measurement: Sensors Ubiquitous computing Wearable Iot Storage management Scalable network Medical sensors |
| title | Develop the ubiquitous computing wearable IoT devices using IoT-distributed framework |
| title_full | Develop the ubiquitous computing wearable IoT devices using IoT-distributed framework |
| title_fullStr | Develop the ubiquitous computing wearable IoT devices using IoT-distributed framework |
| title_full_unstemmed | Develop the ubiquitous computing wearable IoT devices using IoT-distributed framework |
| title_short | Develop the ubiquitous computing wearable IoT devices using IoT-distributed framework |
| title_sort | develop the ubiquitous computing wearable iot devices using iot distributed framework |
| topic | Ubiquitous computing Wearable Iot Storage management Scalable network Medical sensors |
| url | http://www.sciencedirect.com/science/article/pii/S2665917423003185 |
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