A Deployment Scheme Improving the Connectivity Reliability of the Novel Network

The topology architecture of the communication network plays a critical role in ensuring the reliability and security of the Internet of Things. Connectivity reliability is regarded as a key metric for evaluating network topology performance. In this paper, a reliability analysis framework is established to quantitatively evaluate the effects of different deployment schemes and varying numbers of switches and terminal nodes on the connectivity reliability of the novel network, and a deployment scheme for improving network connectivity reliability is proposed. Experimental results demonstrate that, when the network is connected to ten terminal nodes, the maximum reliability achieved under different switch deployment schemes, switch quantities, and terminal node deployment schemes is 0.12%, 0.12%, and 0.14% higher than the corresponding minimum reliability, respectively. Moreover, under the 2-2 switch deployment structure, the network achieves a reliability improvement of up to 8.34% compared with the corresponding minimum reliability. The results further indicate that reducing the number of nodes can effectively improve network connectivity reliability. In multilayer cascading switch deployment architectures, fewer switches in the bottom layer lead to higher reliability, while terminal nodes deployed closer to the bottom layer also contribute to higher network reliability. The proposed deployment scheme provides theoretical support and practical guidance for the deployment optimization of the novel network topology architecture.

Authors

Institutions

Publication Details

Journal
Electronics
Published
2026-07-23
DOI
https://doi.org/10.3390/electronics15153241
Primary Topic
Software-Defined Networks and 5G
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Deployment Scheme Improving the Connectivity Reliability of the Novel Network

Yueyan Qi, Fei Li, Wenyi Liu, Qiang Li et al.
Electronics
Software-Defined Networks and 5G
article

A Deployment Scheme Improving the Connectivity Reliability of the Novel Network

Yueyan Qi, Fei Li, Wenyi Liu, Qiang Li, Kangwei Chu
article en

Abstract

The topology architecture of the communication network plays a critical role in ensuring the reliability and security of the Internet of Things. Connectivity reliability is regarded as a key metric for evaluating network topology performance. In this paper, a reliability analysis framework is established to quantitatively evaluate the effects of different deployment schemes and varying numbers of switches and terminal nodes on the connectivity reliability of the novel network, and a deployment scheme for improving network connectivity reliability is proposed. Experimental results demonstrate that, when the network is connected to ten terminal nodes, the maximum reliability achieved under different switch deployment schemes, switch quantities, and terminal node deployment schemes is 0.12%, 0.12%, and 0.14% higher than the corresponding minimum reliability, respectively. Moreover, under the 2-2 switch deployment structure, the network achieves a reliability improvement of up to 8.34% compared with the corresponding minimum reliability. The results further indicate that reducing the number of nodes can effectively improve network connectivity reliability. In multilayer cascading switch deployment architectures, fewer switches in the bottom layer lead to higher reliability, while terminal nodes deployed closer to the bottom layer also contribute to higher network reliability. The proposed deployment scheme provides theoretical support and practical guidance for the deployment optimization of the novel network topology architecture.

ElectronicsVol. 15(15)
North University of China (CN), Shanghai Institute of Measurement and Testing Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 6%
Software-Defined Networks and 5G
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Deployment Scheme Improving the Connectivity Reliability of the Novel Network — Yueyan Qi, Fei Li, et al. · Electronics (2026) | TGRS Research Map | TGRS