Department of Computer Science and Information Systems

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    QoS-aware data dissemination for dense urban regions in vehicular ad hoc networks
    (Springer, 2014-12) Dua, Amit
    With an evolution of 5G and related technologies, there is a need of high data rate transfer between different communication objects such as vehicles, sensor nodes, or mesh clients connected to the Internet to maintain Quality of Service (QoS) at various levels. As vehicles in Vehicular Ad Hoc Networks (VANETs) are mainly used for safety related applications, so there is a need of an efficient QoS-aware data dissemination for various applications in different regions especially in dense urban regions where congestion is one of the major issues. Hence, to address this issue, in this paper, we propose a new mechanism to maintain QoS for data dissemination among the different vehicles in VANETs. An intelligent forwarding mechanism is used by newly defined metric which assigns weights to the different routing paths from source to destination. Separate algorithms are designed for route construction, and maintenance in the proposed scheme. The performance of the proposed scheme is studied by extensive simulations with respect to various metrics such as delay incurred, percentage of active links, and load on the network. The results obtained show that the proposed scheme is better than the other state-of-the-art existing schemes in the literature.
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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.