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Article detail · 2024

Odor Intensity Shift Keying (OISK) and Channel Capacity of Odor-Based Molecular Communications in Internet of Everything

Journal

IEEE TRANSACTIONS ON MOLECULAR BIOLOGICAL AND MULTI-SCALE COMMUNICATIONS

ISSN 2332-7804

The ISSN points to another catalog journal; the name is from the YÖKSİS record.

YÖKSİS OpenAlex SJR Q2 JCR Q3 Citations 3 Percentile 48.7% FWCI 0.36
Year
2024
Type
article

Data source split

  • YÖKSİS YÖKSİS article record
  • YÖKSİS venue IEEE TRANSACTIONS ON MOLECULAR BIOLOGICAL AND MULTI-SCALE COMMUNICATIONS
  • Catalog match (ISSN) IEEE Transactions on Molecular, Biological, and Multi-Scale Communications
  • OpenAlex OpenAlex enrichment (abstract, citations, topics)

Abstract

OpenAlex · English

Molecular communication is a new, active area of research that has created a paradigm shift in the way a communication system is perceived. An artificial molecular communication network is created using biological molecules for encoding, transmitting and decoding the symbols to convey information. In addition to typical biological molecules, we are also exploring other classes of molecules that possess unique distinctive features which can be potentially exploited for establishing reliable communications. Odor molecules are one such class of molecules which possess several distinctive features such as Intensity, Headonic tone which provides a basis to convey the information in an olfactory communication system. In our work, we investigate the ICT (information and communication theory) perspective of the olfactory communications by evaluating the channel capacity of an odor molecular communication (OMC) system with the help of a novel modulation scheme viz. odor intensity shift keying (OISK), where information is being conveyed from the intensity level of an odor. Furthermore, we also analyse the effects of critical parameters like temperature and noise on the achievable channel capacity to provide an insight about the resilience of the proposed OMC system towards any such anomaly faced by it.

Topics

Citations

OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.

3 citations

OpenAlex cited_by_count (cache / database)

Authors

  1. Aditya Powari
  2. ÖZGÜR BARIŞ AKAN KOÇ ÜNİVERSİTESİ