BITS Faculty Publications

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Author: search.filters.author.Dua, AmitSubject: search.filters.subject.Big Data Analytics

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    A way forward towards a technology-driven development of industry 4.0 using big data analytics in 5G-enabled IIoT
    (Wiley, 2021-10) Dua, Amit; Gupta, Shashank
    The evolution of Internet of Things (IoT) has led to the development of Industrial Internet of Things (IIoT). IIoT is one the widely applied areas to facilitate people in the manufacturing world. The adoption of IIoT automates sensing, capturing, communicating, and processing in real time. To understand how rapidly IoT and IIoT are growing, this article examines the emergence of 5G-enabled IIoT, current research trends in IIoT, key milestones achieved in IIoT, and IoT applications specific to 5G-enabled IIoT. The paper presents the state-of-the-art in networking layered framework of IIoT and comparing relationships of technologies of cloud computing as well as edge computing paradigms. We also explored the type of security attacks and their preventive measures in an IIoT-driven 5G technology. We have also highlighted the revolution of IIoT-driven 5G framework which satisfies the demands of IIoT applications.
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    A Taxonomy of e-Healthcare Techniques and Solutions: Challenges and Future Directions
    (CRC Press, 2022) Dua, Amit
    Technology has intruded all spheres of our lives, whether it be communication, travel, work, or leisure. Industries have been quick to respond to our growing needs and have explored technological interventions to aid their aid. Healthcare, on the other hand, has been slow in adapting to the evolving technology. With the rapid increase in the world population and people's life expectancy and the uncertainty of global pandemics like COVID-19, there has been a massive shortage of healthcare workers across the world. It is of utmost importance for technology to come to the aid of the healthcare domain. The purpose of e-healthcare is to improve the quality of patient care and ease access to healthcare and prepare for the high demand in the healthcare sector that we are witnessing amidst the COVID-19 outbreak in 2020. The research work done in the e-healthcare domain is majorly focused on one or other specific aspects of e-healthcare. It fails to provide an overall picture. This survey paper is aimed at providing a broader view of the techniques used in the e-healthcare domain. The survey broadly classifies the e-healthcare techniques into four categories based on the analysis done on the existing e-healthcare proposals: Machine learning techniques, cloud computing techniques, privacy techniques, and data analytics techniques. It was observed that big data analytics and 5G technology can play a prominent role in shaping the future of e-healthcare. Big data analytics can be used for drawing useful insights from healthcare data. In contrast, 5G technology can be used for scaling purposes by achieving ultra-low latency, high density, and high bandwidth requirements. Besides, suggestions for improvement and future research directions in the e-healthcare domain have been explored for a better understanding of the readers and to motivate future work.
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    Role of emerging technologies in future IoT-driven Healthcare 4.0 technologies: a survey, current challenges and future directions
    (Springer, 2021-05) Dua, Amit; Gupta, Shashank
    Since its inception, Healthcare 4.0 has empowered the integration of advanced technologies to create and improve the quality of healthcare services. The delivery of healthcare services has come a long way from physical appointments with doctors to remote health monitoring and disease prediction, surgery assistive systems. This advancement has only been possible because of the integration of cutting-edge technologies like Tele-healthcare, software-defined networking and many more, with healthcare systems. In this survey, we have targeted some of the pioneering research works that could contribute significantly to the future development of Healthcare 4.0 systems. We have identified the significant research gaps and presented the modern state-of-the-art of healthcare systems, introducing the Healthcare IoT Application and Service Stacks. We have also discussed the latest paradigm of Wireless Body Area Networks, emphasizing its significance and how it can contribute to the development of next-generation healthcare applications using emerging technologies like Machine Learning, Blockchain, Cloud Computing, Internet of things, Edge/ Fog Computing, Tele-healthcare, Big Data Analytics, Software-Defined Networking and many more. We have performed a comparative study of different architectural implementations considering their advantages, shortcomings, and quality-of-service requirements. We emphasize the importance of the different emerging technologies in detail, discussing the opportunities available and their potential to create better healthcare solutions that can provide superior service quality. Finally, we highlight the fundamental need for establishing security and privacy in future healthcare systems. Overall, this survey provides a strong outlook into the development of the future of healthcare 4.0.