Information Theory, Living Systems, and Communication Engineering.

compression cryptography data transmission error control information theory living systems synchronization

Journal

Entropy (Basel, Switzerland)
ISSN: 1099-4300
Titre abrégé: Entropy (Basel)
Pays: Switzerland
ID NLM: 101243874

Informations de publication

Date de publication:
18 May 2024
Historique:
received: 07 03 2024
revised: 08 05 2024
accepted: 17 05 2024
medline: 24 5 2024
pubmed: 24 5 2024
entrez: 24 5 2024
Statut: epublish

Résumé

Mainstream research on information theory within the field of living systems involves the application of analytical tools to understand a broad range of life processes. This paper is dedicated to an opposite problem: it explores the information theory and communication engineering methods that have counterparts in the data transmission process by way of DNA structures and neural fibers. Considering the requirements of modern multimedia, transmission methods chosen by nature may be different, suboptimal, or even far from optimal. However, nature is known for rational resource usage, so its methods have a significant advantage: they are proven to be sustainable. Perhaps understanding the engineering aspects of methods of nature can inspire a design of alternative green, stable, and low-cost transmission.

Identifiants

pubmed: 38785679
pii: e26050430
doi: 10.3390/e26050430
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Auteurs

Dragana Bajić (D)

Department of Communications and Signal Processing, Faculty of Technical Sciences, University of Novi Sad, Trg Dositeja Obradovica 6, 21000 Novi Sad, Serbia.

Classifications MeSH