Exploring Adaptive Transmission Technologies for Dynamic WBAN Environments
Authors/Creators
- 1. Assistant Professor, CSE, Dr. Rajendra Gode Institute of Technology and Research, Amravati, India
- 2. SEO Analyst, Ryzer Wealth Corporation Pvt. Ltd., India
Description
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.
Files
3-1-17-Devendra Ingale-Dhiraj Kalyankar-Janhvi Kalyankar.pdf
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