• DocumentCode
    1762958
  • Title

    Communication theoretical understanding of intra-body nervous nanonetworks

  • Author

    Malak, D. ; Akan, Ozgur

  • Author_Institution
    Koc Univ., Istanbul, Turkey
  • Volume
    52
  • Issue
    4
  • fYear
    2014
  • fDate
    41730
  • Firstpage
    129
  • Lastpage
    135
  • Abstract
    Emerging nanoscale applications, e.g., nanoscale cooperative intelligent drug delivery or multiple intra-body nanosensors for health monitoring, mandate enabling nanomachines to communicate with each other, and hence, form nanonetworks to overcome the limitations of a single nanomachine. Indeed, the human body is a massive nanoscale molecular communications network composed of billions of interacting nanomachines, i.e., cells, whose functionalities depend on nanoscale molecular communications. In this paper, we first introduce the elementary models for nanoscale neuro-spike communication channels, and discuss its extensions to multi-terminal nervous system nanonetworks. Our objective is to learn from the elegant molecular communication mechanisms inside the human body to engineer practical communication techniques for emerging nanonetworks. Besides, we aim to pave the way for the advancement of revolutionary diagnosis and treatment techniques for neural diseases inspired from information and communication technologies (ICT), which is promising for future neuro-treatment and bioinspired molecular communication applications.
  • Keywords
    biomedical communication; molecular communication (telecommunication); bioinspired molecular communication; communication theory; human body; intrabody nervous nanonetworks; molecular communication mechanisms; multiterminal nervous system nanonetworks; nanomachine communication; nanoscale molecular communications network; nanoscale neuro spike communication channels; practical communication techniques; Communication channels; Molecular communication; Nanoscale devices; Nanotechnology; Neurons; Neurotransmitters;
  • fLanguage
    English
  • Journal_Title
    Communications Magazine, IEEE
  • Publisher
    ieee
  • ISSN
    0163-6804
  • Type

    jour

  • DOI
    10.1109/MCOM.2014.6807957
  • Filename
    6807957