Hybrid body area network with integrated sensing and communication for AIoT smart healthcare

For more accessible and advanced health monitoring, the Body Area Network (BAN) design with semantic technologies offers efficient information sensation and communication in smart healthcare Artificial Intelligence of Things (AIoT). To addresses the critical challenges of effective communication and reduction of data transmission pressure in AIoT-BAN, a hybrid BAN system is proposed which enhances information processing and communication capabilities by leveraging semantic understanding and multimodal processing. It incorporates a semantic communication and sensation fusion framework, offloading based on the human Body Coupled Communication (BCC) channel, and multimodal semantic information integration to reduce data transmission pressure. The proposed method offers effective inclusive smart healthcare and daily health maintenance for the general public.

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Publication Details

Journal
Digital Communications and Networks
Published
2026-03-01
DOI
https://doi.org/10.1016/j.dcan.2026.03.016
Primary Topic
Wireless Body Area Networks
Type
article
Field-Weighted Citation Impact
0.00
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Hybrid body area network with integrated sensing and communication for AIoT smart healthcare

Xiyan Wang, Chao Ren, Liang Sun, Haojin Li et al.
Digital Communications and Networks
Wireless Body Area Networks
article

Hybrid body area network with integrated sensing and communication for AIoT smart healthcare

Xiyan Wang, Chao Ren, Liang Sun, Haojin Li, Chao Gong, Jiahao Huo, Chen Sun, Ziyun Peng
article en

Abstract

For more accessible and advanced health monitoring, the Body Area Network (BAN) design with semantic technologies offers efficient information sensation and communication in smart healthcare Artificial Intelligence of Things (AIoT). To addresses the critical challenges of effective communication and reduction of data transmission pressure in AIoT-BAN, a hybrid BAN system is proposed which enhances information processing and communication capabilities by leveraging semantic understanding and multimodal processing. It incorporates a semantic communication and sensation fusion framework, offloading based on the human Body Coupled Communication (BCC) channel, and multimodal semantic information integration to reduce data transmission pressure. The proposed method offers effective inclusive smart healthcare and daily health maintenance for the general public.

Digital Communications and Networks
Sony (China) (CN), University of Science and Technology Beijing (CN)
Openalex Percentile: Top 4%
Wireless Body Area Networks
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Hybrid body area network with integrated sensing and communication for AIoT smart healthcare — Xiyan Wang, Chao Ren, et al. · Digital Communications and Networks (2026) | TGRS Research Map | TGRS