7
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Internet of medical things and blockchain-enabled patient-centric agent through SDN for remote patient monitoring in 5G network

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          During the COVID-19 pandemic, there has been a significant increase in the use of internet resources for accessing medical care, resulting in the development and advancement of the Internet of Medical Things (IoMT). This technology utilizes a range of medical equipment and testing software to broadcast patient results over the internet, hence enabling the provision of remote healthcare services. Nevertheless, the preservation of privacy and security in the realm of online communication continues to provide a significant and pressing obstacle. Blockchain technology has shown the potential to mitigate security apprehensions across several sectors, such as the healthcare industry. Recent advancements in research have included intelligent agents in patient monitoring systems by integrating blockchain technology. However, the conventional network configuration of the agent and blockchain introduces a level of complexity. In order to address this disparity, we present a proposed architectural framework that combines software defined networking (SDN) with Blockchain technology. This framework is specially tailored for the purpose of facilitating remote patient monitoring systems within the context of a 5G environment. The architectural design contains a patient-centric agent (PCA) inside the SDN control plane for the purpose of managing user data on behalf of the patients. The appropriate handling of patient data is ensured by the PCA via the provision of essential instructions to the forwarding devices. The suggested model is assessed using hyperledger fabric on docker-engine, and its performance is compared to that of current models in fifth generation (5G) networks. The performance of our suggested model surpasses current methodologies, as shown by our extensive study including factors such as throughput, dependability, communication overhead, and packet error rate.

          Related collections

          Most cited references49

          • Record: found
          • Abstract: not found
          • Article: not found

          BSN-Care: A Secure IoT-Based Modern Healthcare System Using Body Sensor Network

            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Application of Artificial Intelligence-Based Technologies in the Healthcare Industry: Opportunities and Challenges

            This study examines the current state of artificial intelligence (AI)-based technology applications and their impact on the healthcare industry. In addition to a thorough review of the literature, this study analyzed several real-world examples of AI applications in healthcare. The results indicate that major hospitals are, at present, using AI-enabled systems to augment medical staff in patient diagnosis and treatment activities for a wide range of diseases. In addition, AI systems are making an impact on improving the efficiency of nursing and managerial activities of hospitals. While AI is being embraced positively by healthcare providers, its applications provide both the utopian perspective (new opportunities) and the dystopian view (challenges to overcome). We discuss the details of those opportunities and challenges to provide a balanced view of the value of AI applications in healthcare. It is clear that rapid advances of AI and related technologies will help care providers create new value for their patients and improve the efficiency of their operational processes. Nevertheless, effective applications of AI will require effective planning and strategies to transform the entire care service and operations to reap the benefits of what technologies offer.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              FogBus: A Blockchain-based Lightweight Framework for Edge and Fog Computing

                Bookmark

                Author and article information

                Contributors
                anis_cse@niter.edu.bd
                ghulam@ksu.edu.sa
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                4 March 2024
                4 March 2024
                2024
                : 14
                : 5297
                Affiliations
                [1 ]Department of Computer Science and Engineering, Mawlana Bhashani Science and Technology University, ( https://ror.org/00gvj4587) Tangail, Bangladesh
                [2 ]Department of Computer Science and Engineering, Constituent Institute of Dhaka University, National Institute of Textile Engineering and Research (NITER), ( https://ror.org/05wv2vq37) Savar, Dhaka, 1350 Bangladesh
                [3 ]Institute of Information and Communication Technology, Bangladesh University of Engineering and Technology (BUET), ( https://ror.org/05a1qpv97) Dhaka, Bangladesh
                [4 ]Department of Computer Science and Engineering, Green University, Dhaka, Bangladesh
                [5 ]Department of Computer Engineering, College of Computer and Information Sciences, King Saud University, ( https://ror.org/02f81g417) Riyadh, Saudi Arabia
                [6 ]School of Computer Science and Electronic Engineering, University of Essex, ( https://ror.org/02nkf1q06) Colchester, UK
                Author information
                http://orcid.org/0000-0002-9781-3969
                Article
                55662
                10.1038/s41598-024-55662-w
                10912771
                38438526
                0f3ed46b-1081-4dc8-a391-34c6aca38358
                © The Author(s) 2024

                Open Access 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/.

                History
                : 18 September 2023
                : 26 February 2024
                Funding
                Funded by: Researchers Supporting Project number (RSP2023R34), King Saud University, Riyadh, Saudi Arabia
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2024

                Uncategorized
                internet of things,internet of medical things,blockchain,software defined networking,patient monitoring,remote patient monitoring,healthcare management,patient centric agent,mathematics and computing,engineering

                Comments

                Comment on this article