Robust directional-diffusive hybrid molecular communication with parity-check erasure coding

Hiroaki Egashira, Junichi Suzuki, Jonathan S. Mitzman, Tadashi Nakano, Hiroaki Fukuda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

This paper investigates a robustness enhancement protocols for biologically-enabled machines (or bio-nanomachines) to reliably exchange information by means of molecules in the aqueous, intrabody environment. The proposed protocol performs forward error correction (FEC) for directional-diffusive hybrid transports, in which molecules travel through two different transports: directional and diffusive transports. It allows the transmitter bio-nanomachine to encode molecules in a redundant manner with parity-check erasure codes. The receiver bio-nanomachine can recover the information embedded in lost molecules. Simulation results show that the proposed protocol enhances robustness against molecule losses and in turn improves communication performance. They also reveal the impacts of FEC overhead and molecule redundancy on the communication performance.

Original languageEnglish
Title of host publicationIFSA-SCIS 2017 - Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509049172
DOIs
Publication statusPublished - 2017 Aug 30
Event17th Joint World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, IFSA-SCIS 2017 - Otsu, Japan
Duration: 2017 Jun 272017 Jun 30

Publication series

NameIFSA-SCIS 2017 - Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems

Other

Other17th Joint World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems, IFSA-SCIS 2017
Country/TerritoryJapan
CityOtsu
Period17/6/2717/6/30

ASJC Scopus subject areas

  • Logic
  • Computational Theory and Mathematics
  • Computer Science Applications
  • Control and Optimization
  • Artificial Intelligence

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