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Edge Computing Based Conceptual Framework for Smart Health Care Applications Using Z-Wave and Homebased Wireless Sensor Network

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Mobile Edge Computing

Abstract

Rapid advancement of the technology makes the system more reliable and the outcome from the system produces in a timely fashion. In this work, a conceptual framework for biomedical image analysis is considered which is based on wireless sensor networks. Here, Z-Wave based wireless biomedical image analysis system is analyzed that can be implemented to provide a concrete WSN based health care system. This work can serve as a foundation to the real-life remote health care system based on Z-Wave. Periodic study of different patients is possible from their own home which can help the physicians to take appropriate decisions in stipulated time that will certainly accelerate the physical and mental improvement. This paper studies the concepts of wireless biomedical image monitoring systems along with their features. In this context mobile edge computing can play a vital role because biomedical image monitoring systems needs to deal with huge amount of data. In general, image data consists of large volume of information. Storage and processing of such a huge amount of data is really a headache. Technologies based on mobile edge computing allows us to save valuable resources in the processing nodes and suitable to handle the resource-hungry applications. Various aspects of the WSN healthcare systems are analyzed and future directions are reported and analyzed in a comprehensive way so that this work will be beneficial for the society and can be extended towards real life implementation.

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Authors and Affiliations

  1. University of Kalyani, Nadia, West Bengal, India

    Shouvik Chakraborty & Kalyani Mali

  2. University of Engineering & Management, Kolkata, West Bengal, India

    Sankhadeep Chatterjee

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  1. Shouvik Chakraborty
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  2. Kalyani Mali
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  3. Sankhadeep Chatterjee
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Editors and Affiliations

  1. Department of Computer Science, Mahishadal Raj College, Mahishadal, West Bengal, India

    Anwesha Mukherjee

  2. Centre of Mobile Cloud Computing Department of Computer Science and Engineering, Maulana Abul Kalam Azad University of Technology, Kolkata, West Bengal, India

    Debashis De

  3. Department of Computer Science and Engineering, Indian Institute of Technology (IIT) Kharagpur, Kharagpur, West Bengal, India

    Soumya K. Ghosh

  4. Cloud Computing and Distributed Systems (CLOUDS) Laboratory, School of Computing and Information Systems, The University of Melbourne, Melbourne, VIC, Australia

    Rajkumar Buyya

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Chakraborty, S., Mali, K., Chatterjee, S. (2021). Edge Computing Based Conceptual Framework for Smart Health Care Applications Using Z-Wave and Homebased Wireless Sensor Network. In: Mukherjee, A., De, D., Ghosh, S.K., Buyya, R. (eds) Mobile Edge Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-69893-5_16

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