ArticleSensors (Basel, Switzerland)2025
Bluetooth-Based Dynamic Nexus Mesh Communication Network for High-Density Urban Interaction Spaces.
Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Diffusion-Based Frequency Hopping for Collision Mitigation in Dense Bluetooth Networks.Sensors (Basel, Switzerland) · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Traditional centralized network structures exhibit clear scalability and communication efficiency bottlenecks. This paper proposes a solution based on a bidirectional unweighted heterogeneous graph, Dynamic Nexus Mesh Communication, designed to improve communication efficiency and optimize user experience, particularly for high-density urban interaction spaces. DNMC reduces the reliance on central super nodes in traditional centralized networks by redistributing network centrality while increasing the betweenness centrality of a broader set of nodes. Additionally, DNMC introduces multiple node types, improving both the robustness and efficiency of the network. Through a series of simulation experiments, we compared the communication performance of DNMC networks with that of traditional centralized networks. The results show that DNMC achieves an average delay of 1.5824 s, representing a 13.69% improvement over centralized architectures. These findings demonstrate that DNMC significantly outperforms traditional networks in terms of communication efficiency, particularly at larger network scales, where DNMC exhibits enhanced stability and scalability.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.