Real-Time Patient Monitoring with Heterogeneous Systems Using DDS-Based Communication

[2608.14597] Real-Time Patient Monitoring with Heterogeneous Systems Using DDS-Based Communication Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Computer Science > Networking and Internet Architecture arXiv:2608.14597 (cs) [Submitted on 28 Jun 2026] Title: Real-Time Patient Monitoring with Heterogeneous Systems Using DDS-Based Communication Authors: Muhammad Dikko Gambo , MD Sakibul Islam , Basem Almadani , Farouq Aliyu , Abdullahi Sani Shuaibu View a PDF of the paper titled Real-Time Patient Monitoring with Heterogeneous Systems Using DDS-Based Communication, by Muhammad Dikko Gambo and 4 other authors View PDF HTML (experimental) Abstract: Real-time patient monitoring requires communication systems that maintain low latency and high reliability while scaling across heterogeneous hospital deployments. This paper presents a middleware-based monitoring system that uses the Data Distribution Service (DDS) to coordinate data exchange among distributed medical components. The system architecture consists of modular DDS domain participants deployed across patient rooms and ward-level applications, connected through a layered data bus structure. Quality of Service (QoS) policies, including Reliable and Best Effort, are configured and evaluated to examine trade-offs between delivery guarantees and communication overhead. A prototype implementation is developed to emulate clinical monitoring workflows, and experiments are conducted in comparison with socket-based messaging. The evaluation indicates that DDS with Reliable QoS avoids packet loss in the tested scenarios and provides more dependable delivery than sockets under network load. These results support the use of DDS as a practical middleware option for real-time clinical communication where consistent data delivery is required. Comments: Accepted for publication in China Communications (IEEE) Subjects: Networking and Internet Architecture (cs.NI) Cite as: arXiv:2608.14597 [cs.NI] (or arXiv:2608.14597v1 [cs.NI] for this version) https://doi.org/10.48550/arXiv.2608.14597 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Muhammad Dikko Gambo [ view email ] [v1] Sun, 28 Jun 2026 12:03:35 UTC (2,480 KB) Full-text links: Access Paper: View a PDF of the paper titled Real-Time Patient Monitoring with Heterogeneous Systems Using DDS-Based Communication, by Muhammad Dikko Gambo and 4 other authors View PDF HTML (experimental) TeX Source view license Current browse context: cs.NI < prev | next > new | recent | 2026-08 Change to browse by: cs References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab) Major funding support from

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