Treffer: Autonomous restart of information floating and dynamic control of transmittable area.

Title:
Autonomous restart of information floating and dynamic control of transmittable area.
Authors:
Miyakita K; Graduate School of Science and Technology, Niigata University, Niigata, Japan., Meguro D; Graduate School of Science and Technology, Niigata University, Niigata, Japan., Tamura H; Faculty of Science and Engineering, Chuo University, Tokyo, Japan., Nakano K; Graduate School of Science and Technology, Niigata University, Niigata, Japan.
Source:
PloS one [PLoS One] 2026 Jan 29; Vol. 21 (1), pp. e0341468. Date of Electronic Publication: 2026 Jan 29 (Print Publication: 2026).
Publication Type:
Journal Article
Language:
English
Journal Info:
Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Imprint Name(s):
Original Publication: San Francisco, CA : Public Library of Science
Entry Date(s):
Date Created: 20260129 Date Completed: 20260129 Latest Revision: 20260131
Update Code:
20260131
PubMed Central ID:
PMC12854429
DOI:
10.1371/journal.pone.0341468
PMID:
41610153
Database:
MEDLINE

Weitere Informationen

Information floating (IF) is a method of delivering information to mobile nodes in a desired area while avoiding unnecessary communication and information dissemination by restricting direct wireless transmission to a transmittable area (TA). This restriction, however, also leads to the termination of IF, which is a longstanding problem that must be overcome. As a solution, methods have been developed to predetermine the optimal TA size based on environmental parameters such as node density. If the density changes over time, then the estimation of the density and the optimization of the TA must be repeated. Therefore, we previously proposed a method that guarantees that the IF never ends in principle, even if the node density changes over time, by dynamically controlling the TA size. However, this method is only applicable in a one-dimensional network. Here, we propose a method that guarantees, even in two-dimensional networks, that the IF never ends. To accomplish this, we introduce two key functions. The first autonomously restarts the IF even if it has temporarily terminated. The second function dynamically controls the TA size. We also highlight the necessity of introducing a lifetime for the TA generated by the dynamic control method if the density changes over time, and we improve the proposed method accordingly. We show the effectiveness of the proposed methods in terms of continuity and tracking performance through theoretical and simulation evaluations.
(Copyright: © 2026 Miyakita et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.)

The authors have declared that no competing interests exist.