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In Vivo Communication in Wireless Body Area Networks

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Information Innovation Technology in Smart Cities

Abstract

The emerging in vivo communication and networking system is a prospective component in advancing healthcare delivery and empowering the development of new applications and services. In vivo communications is based on networked cyber-physical systems of embedded devices allow rapid, correct and cost-effective responses under various conditions. This chapter presents the existing research which investigates the state of art of the in vivo communication. It focuses on characterizing and modeling the in vivo wireless channel and contrasting it with other familiar channels. Multiple Input Multiple Output (MIMO) in vivo is also considered in this chapter since it significantly enhances the performance gain and data rates. Furthermore, this chapter addresses in vivo nano-communication which is presented for medical applications to provide fast and accurate disease diagnosis and treatment. Such communication paradigm will be capable of operating inside the human body in real time and will be of great benefit for medical monitoring and medical implant communications. Consequently, propagation at the Terahertz (THz) frequency must be well understood as it is considered the most promising band for electromagnetic nano-communication models.

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Authors and Affiliations

  1. Electrical and Computer Engineering Department, Khalifa University, Abu Dhabi, UAE

    Hadeel Elayan, Raed M. Shubair & Nawaf Almoosa

Authors
  1. Hadeel Elayan
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  2. Raed M. Shubair
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  3. Nawaf Almoosa
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Correspondence to Hadeel Elayan .

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Editors and Affiliations

  1. College of Information Technology, United Arab Emirates University, Al Ain, United Arab Emirates

    Leila Ismail

  2. College of Physics and Electronic Science, Shandong Normal University, Jinan, China

    Liren Zhang

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Elayan, H., Shubair, R.M., Almoosa, N. (2018). In Vivo Communication in Wireless Body Area Networks. In: Ismail, L., Zhang, L. (eds) Information Innovation Technology in Smart Cities. Springer, Singapore. https://doi.org/10.1007/978-981-10-1741-4_18

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  • DOI: https://doi.org/10.1007/978-981-10-1741-4_18

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-1740-7

  • Online ISBN: 978-981-10-1741-4

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