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DC Field | Value | Language |
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dc.contributor.author | Gupta, Shashank | - |
dc.date.accessioned | 2024-10-28T11:12:16Z | - |
dc.date.available | 2024-10-28T11:12:16Z | - |
dc.date.issued | 2022-07 | - |
dc.identifier.uri | https://link.springer.com/article/10.1007/s11277-022-09932-3 | - |
dc.identifier.uri | http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/16269 | - |
dc.description.abstract | The uprising of Internet of Things (IoT) has dramatically influenced the world’s technology in terms of interoperability, connectivity and interconnectivity with help of smart sensors, devices, objects, data and applications. General population aging, dearth of healthcare resources and upsurge in healthcare costs makes IoT advancements in healthcare all the more essential in order to confront these challenges. The revolution in IoT healthcare is redeveloping the healthcare sector in every aspect – social, technical and economical. This article presents a comprehensive survey on upcoming technologies helpful in healthcare 4.0 systems where the major focus is on emerging technologies like fog computing, cloud computing, machine learning and Bigdata analytics and that are all based on IoT based healthcare applications. In addition, the authors also provided an exhaustive survey on Wide Body Area Network (WBAN)-based IoT health care systems and discussed their network topology, architecture, platform, services and their applications. In addition, this study analyses IoT healthcare security challenges, possible threats, attack taxonomies and how blockchain technology can be helpful in countering these challenges. Lastly, exhaustive state-of-the-art technologies, challenges identified so far and possible future scope of this domain is also discussed in this survey. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Internet of Things (IoT) | en_US |
dc.subject | Wide Body Area Network (WBAN) | en_US |
dc.subject | Health Care 4.0 | en_US |
dc.title | Evolution and Adoption of Next Generation IoT-Driven Health Care 4.0 Systems | en_US |
dc.type | Article | en_US |
Appears in Collections: | Department of Computer Science and Information Systems |
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