An intelligent transmission method for multimodal data streams in telemedicine based on multi-path transmission over wide area network

This paper presents an intelligent multipath transmission method for multimodal data streams over wide area networks (WANs), addressing challenges such as network delay and packet loss in telemedicine scenarios. Utilizing a content-aware approach, the proposed method assigns transmission priorities to different types of data and selects optimal paths via an intelligent routing algorithm based on real-time network conditions. The system incorporates mechanisms for dynamic path switching, load balancing, and fault tolerance. Experimental results demonstrate that under conditions of link interruption and insufficient bandwidth, the proposed method achieves significantly better transmission quality compared to traditional approaches. For instance, in scenarios with 40% packet loss, the average network delay for high-priority data was reduced to 141.8 ms, compared to 297.2 ms and 318.2 ms for conventional methods. Additionally, with bandwidth reduced to 2 Mbps, the high-priority data stream’s average bit rate and frame rate were maintained at 2.67 Mbps and 29 FPS, respectively, ensuring reliable performance during critical operations.

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Publication Details

Journal
Frontiers in Communications and Networks
Published
2025-06-19
DOI
https://doi.org/10.3389/frcmn.2025.1566554
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
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article

An intelligent transmission method for multimodal data streams in telemedicine based on multi-path transmission over wide area network

Kunlun He, Lyu Li, Jun Ma, Ting Lyu et al.
Frontiers in Communications and Networks
IoT and Edge/Fog Computing
article

An intelligent transmission method for multimodal data streams in telemedicine based on multi-path transmission over wide area network

Kunlun He, Lyu Li, Jun Ma, Ting Lyu, Siyuan Li, Lei Wang, Tong Yue
article en

Abstract

This paper presents an intelligent multipath transmission method for multimodal data streams over wide area networks (WANs), addressing challenges such as network delay and packet loss in telemedicine scenarios. Utilizing a content-aware approach, the proposed method assigns transmission priorities to different types of data and selects optimal paths via an intelligent routing algorithm based on real-time network conditions. The system incorporates mechanisms for dynamic path switching, load balancing, and fault tolerance. Experimental results demonstrate that under conditions of link interruption and insufficient bandwidth, the proposed method achieves significantly better transmission quality compared to traditional approaches. For instance, in scenarios with 40% packet loss, the average network delay for high-priority data was reduced to 141.8 ms, compared to 297.2 ms and 318.2 ms for conventional methods. Additionally, with bandwidth reduced to 2 Mbps, the high-priority data stream’s average bit rate and frame rate were maintained at 2.67 Mbps and 29 FPS, respectively, ensuring reliable performance during critical operations.

Frontiers in Communications and NetworksVol. 6
Shanghai Jiao Tong University (CN), Shanghai Mental Health Center (CN), People's Liberation Army No. 150 Hospital (CN), Beijing Red Cross Blood Center (CN)
Openalex Percentile: Top 85%
IoT and Edge/Fog Computing
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An intelligent transmission method for multimodal data streams in telemedicine based on multi-path transmission over wide area network — Kunlun He, Lyu Li, et al. · Frontiers in Communications and Networks (2025) | TGRS Research Map | TGRS