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Title 5G IoT and edge computing for smart healthcare edited by Akash Kumar Bhoi [and more]
Published [S.l.] : Academic Press, 2022


Description 1 online resource
Series Intelligent data centric systems
Contents Edge-IoMT-based enabled architecture for smart healthcare system -- Physical layer architecture of 5G enabled IoT/IoMT system -- HetNet/M2M/D2D communication in 5G technologies -- An overview of low power hardware architecture for edge computing devices -- Convergent network architecture of 5G and MEC -- An efficient lightweight speck technique for edge-IoT-based smart healthcare systems -- Deep learning approaches for the cardiovascular disease diagnosis using smartphone -- Advanced pattern recognition tools for disease diagnosis -- Brain-computer interface in Internet of Things environment -- Early detection of COVID-19 pneumonia based on ground-glass opacity (GGO) features of computerized tomography (CT) angiography -- Applications of wearable technologies in healthcare: an analytical study
Front Cover -- 5G IoT and Edge Computing for Smart Healthcare -- Copyright Page -- Contents -- List of contributors -- 1 Edge-IoMT-based enabled architecture for smart healthcare system -- 1.1 Introduction -- 1.2 Applications of an IoMT-based system in the healthcare industry -- 1.3 Application of edge computing in smart healthcare systems -- 1.4 Challenges of using edge computing with IoMT-based system in smart healthcare system -- 1.5 The framework for edge-IoMT-based smart healthcare system
1.6 Case study for the application of edge-IoMT-based systems enabled for the diagnosis of diabetes mellitus -- 1.6.1 Experimental results -- 1.7 Future prospects of edge computing for internet of medical things -- 1.8 Conclusions and future research directions -- References -- 2 Physical layer architecture of 5G enabled IoT/IoMT system -- 2.1 Architecture of IoT/IoMT system -- 2.1.1 Sensor layer -- 2.1.2 Gateway layer -- 2.1.3 Network layer -- 2.1.4 Visualization layer -- 2.2 Consideration of uplink healthcare IoT system relying on NOMA -- 2.2.1 Introduction -- 2.2.2 System model
2.2.3 Outage probability for UL NOMA -- Outage probability of x1 -- Outage probability of X2 -- Asymptotic -- 2.2.4 Ergodic capacity of UL NOMA -- 2.2.5 Numerical results and discussions -- 2.3 Conclusions -- References -- 3 HetNet/M2M/D2D communication in 5G technologies -- 3.1 Introduction -- 3.2 Heterogenous networks in the era of 5G -- 3.2.1 5G mobile communication standards and enhanced features -- 3.2.2 5G heterogeneous network architecture -- 3.2.3 Intelligent software defined network framework of 5G HetNets -- 3.2.4 Next-Gen 5G wireless network
3.2.5 Internet of Things toward 5G and heterogenous wireless networks -- 3.2.6 5G-HetNet H-CRAN fronthaul and TWDM-PON backhaul: QoS-aware virtualization for resource management -- 3.2.7 Spectrum allocation and user association in 5G HetNet mmWave communication: a coordinated framework -- 3.2.8 Diverse service provisioning in 5G and beyond: an intelligent self-sustained radio access network slicing framework -- 3.3 Device-to-Device communication in 5G HetNets -- 3.4 Machine-to-Machine communication in 5G HetNets
3.4.1 Machine-to-Machine communication in 5G: state of the art architecture, recent advances and challenges -- 3.4.2 Recent advancement in the Internet of Things related standard: oneM2M perspective -- Advantages of oneM2M -- OneM2M protocols -- OneM2M standard platform: a unified common service-oriented communication framework -- 3.4.3 M2M traffic in 5G HetNets -- 3.4.4 Distributed gateway selection for M2M communication cognitive 5G5G networks -- 3.4.5 Algorithm for clusterization, aggregation, and prioritization of M2M devices in 5G5G HetNets
Subject Medical informatics.
Artificial intelligence -- Medical applications.
5G mobile communication systems.
Edge computing.
Internet of things.
5G mobile communication systems.
Artificial intelligence -- Medical applications.
Edge computing.
Internet of things.
Medical informatics.
Form Electronic book
Author Bhoi, Akash Kumar
ISBN 9780323906647