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
- Yueyan Qi
- Fei Li (ORCID: https://orcid.org/0000-0003-4923-8688)
- Wenyi Liu (ORCID: https://orcid.org/0000-0002-7021-5854)
- Qiang Li (ORCID: https://orcid.org/0000-0001-9344-6682)
- Kangwei Chu
Institutions
- North University of China (CN)
- Shanghai Institute of Measurement and Testing Technology (CN)
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