Multimedia nano communication for healthcare – noise analysis

Shyam Pratap Singh, Vivek K. Dwivedi, Ghanshyam Singh

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

2 Citations (Scopus)

Abstract

In addition to the red blood cells (RBC) or white blood cells (WBC), billions of bio-nano machines (BNMs) are envisioned to circulate in the human body to detect and cure the decease like tumors. The BNMs with its potential features of communication and interconnection with micro- and macro-devices get ahead to Internet of Bio-Nano Things (IoBNT). This paradigm shift is going to engineer the human cells genetically, program them, and interconnect with outside world. However, the noise is fundamental issue involved in the modeling of any communication system. Though, the plethora of literatures have been presented with noise and its impact on the nano communication (NC), be it Molecular Nano Communication (MNC) or Electromagnetic Nano Communication (EMNC). Even though, a comprehensive view on the noise in NC is missing from the reported literatures. This chapter fills the gap by presenting a detailed study on the noise in NC. In particular, this chapter start with different statistical tools of the noise, presents fundamental of various types of noise in MNC and EMNC, elaborate physical and/or stochastic models for different types of noise in MNC and EMNC along with their simulation. In addition, this chapter also discusses different open research challenges on the noises in MNC and EMNC. Finally, it is noteworthy to mention that the noise and its modeling is the fundamental of Technological Readiness Level (TRL) which assures the success of different TRLs like technology development and its demonstration. Therefore, a thoughtful understanding of noise in NC is a decisive requirement to address the utmost issues and to quantify the improvement.

Original languageEnglish
Title of host publicationInternet of Multimedia Things (IoMT)
Subtitle of host publicationTechniques and Applications
PublisherElsevier
Pages99-132
Number of pages34
ISBN (Electronic)9780323858458
ISBN (Print)9780323900829
DOIs
Publication statusPublished - 1 Jan 2022

Keywords

  • Distribution
  • EMNC
  • MNC
  • NC
  • Noise

ASJC Scopus subject areas

  • General Computer Science

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