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Article . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
ZENODO
Article . 2024
License: CC BY
Data sources: Datacite
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Exploring Adaptive Transmission Technologies for Dynamic WBAN Environments

Authors: Kalyankar, Dhiraj Sanjay; Ingale, Devendra Ganeshrao; Kalyankar, Janhvi Dhiraj;

Exploring Adaptive Transmission Technologies for Dynamic WBAN Environments

Abstract

The development of wearable body area network (WBAN) technology has indeed brought significant advancements in healthcare, sports performance monitoring, and various other fields. However, as you mentioned, ensuring data security and reliable transmission in WBANs remains a critical challenge. To address these issues, researchers are exploring various approaches, including robust encryption algorithms, authentication mechanisms, and efficient data transmission protocols. These efforts aim to not only protect sensitive physiological data from unauthorized access but also ensure reliable and timely transmission under diverse environmental conditions. Additionally, advancements in machine learning and artificial intelligence are being leveraged to detect anomalies in WBAN data streams, which can help identify potential security breaches or transmission errors in real-time. By continuously monitoring and analyzing data patterns, these systems can enhance the trustworthiness and reliability of WBANs. Furthermore, interdisciplinary collaborations between engineers, data scientists, healthcare professionals, and cybersecurity experts are essential for designing comprehensive WBAN solutions that address both technical and ethical considerations. By fostering trust and confidence in WBAN systems through robust security measures and reliable data transmission, we can unlock the full potential of wearable technology in improving human health and well-being.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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