Error Performance and Mutual Information for IoNT Interface System

Yu Li, Lin Lin, Weisi Guo, Dingguo Zhang, Kun Yang

Research output: Contribution to journalArticlepeer-review


Molecular communication and the Internet of Nanothings (IoNT) are emerging research hotspots recently, which show great potential in biomedical applications inside the human body. However, how to transmit information from inside body IoNTs to outside devices is seldomly studied. It is well known that the nervous system is responsible for perceiving the external environment and controlling the feedback signals. It exactly works like an interface between the external and internal environment. Inspired by this, this article proposes a novel concept that one can use the modified nervous system to communicate between IoNT devices and in vitro equipments. In our proposed system, nanomachines transmit signals via stimulating the nerve fiber by the electrode. Then, the signals transmit along nerve fibers and muscle fibers. Finally, they cause changes in surface electromyography (sEMG) signals, which can be decoded by the body surface receiver. This article presents the framework of this entire through-body communication system. Each part of the framework is also mathematically modeled. The error probability and mutual information of the system are derived from the communication theory perspective, which are evaluated and analyzed through numerical results. This study can pave the way for the connection of IoNT in vivo to external networks.

Original languageEnglish
Pages (from-to)9831-9842
Number of pages12
JournalIEEE Internet of Things Journal
Issue number12
Early online date23 Feb 2022
Publication statusPublished - 15 Jun 2022


  • Error performance
  • Internet of Nanothings (IoNT)
  • interface
  • molecular communication (MC)
  • mutual information (MI)

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems
  • Hardware and Architecture
  • Computer Science Applications
  • Computer Networks and Communications


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