ArticleOpen Access http://dx.doi.org/10.26855/ea.2026.06.003
Research on Android Real-time Communication System Architecture and High-reliability Assurance Pathways Integrating AI-based Anomaly Detection Mechanisms
Junhao Su
Jacobs School of Engineering, University of California San Diego, La Jolla, CA 92093, USA.
*Corresponding author: Junhao Su
Published: May 6,2026
Abstract
The Android real-time communication system is widely used to carry out various services such as instant messaging, online collaboration, voice interaction, and lightweight audio-visual conversations. However, under conditions of network jitter, limited terminal resources, and the interweaving of multiple link switches, problems such as connection drift, message disorder, abnormal location delay, and disconnected recovery chains are still prominent. To meet the stable operation requirements in high-efficiency interaction scenarios, a system architecture supported by connection management, message transmission, state perception, and intelligent discrimination is constructed. The AI anomaly detection mechanism is embedded in the link monitoring and strategy regulation process, shifting the abnormal identification from passive alarm to forward pre-judgment. After verification based on indicators such as weak network disturbances, connection re-establishment, and message delivery, it can be seen that the coordinated operation of intelligent detection and reliability control helps to shorten the abnormal discovery delay, improve session continuity and message delivery completeness, providing a strong reference for the engineering optimization of the Android re-al-time communication system.
Keywords
Android; Real-time Communication System; AI Anomaly Detection; High reliability
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How to cite this paper
Research on Android Real-time Communication System Architecture and High-reliability Assurance Pathways Integrating AI-based Anomaly Detection Mechanisms
How to cite this paper: Junhao Su. (2026). Research on Android Real-time Communication System Architecture and High-reliability Assurance Pathways Integrating AI-based Anomaly Detection Mechanisms. Engineering Advances, 6(2), 72-76.
DOI: http://dx.doi.org/10.26855/ea.2026.06.003