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MOLECULAR COMMUNICATIONS - AN ANALYSIS FROM NETWORKING THEORIES PERSPECTIVE

Molecular Communications - An Analysis from Networking Theories Perspective
Yesenia Cevallos; Cristian Vacacela Gómez; Luis Tello-Oquendo; Talia Tene; Deysi Inca; Ivone Santillán; Albert Espinal
Springer International Publishing AG (2023)
Saatavuus: Tilaustuote
Kovakantinen kirja
129,90
Tuotetta lisätty
ostoskoriin kpl
Siirry koriin
Molecular Communications - An Analysis from Networking Theories Perspective
129,90 €
Springer International Publishing AG
Sivumäärä: 197 sivua
Asu: Kovakantinen kirja
Painos: 1st ed. 2024
Julkaisuvuosi: 2023, 21.11.2023 (lisätietoa)
Kieli: Englanti
This book provides a complete analysis of molecular communications systems from the paradigm of TCP/IP network stack, and it exploits network theories (e.g. independent functions of a layer into a stack, addressing, flow control, error control, and traffic control) and applies them to biological systems. The authors show how these models can be applied in different areas such as industry, medicine, engineering, biochemistry, biotechnology, computer sciences, and other disciplines. The authors then explain how it is possible to obtain enormous benefits from these practices when applied in medicine, such as enhancing current treatment of diseases and reducing the side effects of drugs and improving the quality of treatment for patients. The authors show how molecular communications systems, in contrast to existing telecommunication paradigms, use molecules as information carriers. They show how sender biological nanomachines (bio-nano machines) encode data on molecules (signal molecules) and release the molecules into the environment. They go on to explain how the molecules then travel through the environment to reach the receiver bio-nano machines, where they biochemically react with the molecules to decipher information. This book is relevant to those studying telecommunications and biomedical students, engineers, masters, PhDs, and researchers.

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ISBN:
9783031368813
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