Secure and Low-Latency IoT Analytics Using an Edge-Based Streaming Architecture

• URL: http://arxiv.org/abs/2606.14712v1
• Date: Thu, 23 Apr 2026 09:49:18 GMT
• Title: Secure and Low-Latency IoT Analytics Using an Edge-Based Streaming Architecture
• Abstract summary: Traditional cloud-centric architectures fail to meet low-latency and bandwidth efficiency requirements.<n>This paper proposes EdgeStream, a lightweight edge-based framework for real-time streaming analytics in IoT environments.
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: The rapid growth of Internet of Things (IoT) devices has led to large-scale continuous data streams that require realtime processing. Traditional cloud-centric architectures fail to meet low-latency and bandwidth efficiency requirements due to network delays and high data transmission overhead. This paper proposes EdgeStream, a lightweight edge-based framework for real-time streaming analytics in IoT environments. The system integrates edge nodes for local processing with a cloud backend for coordination and storage, using MQTT-based communication and distributed processing with anomaly detection. Analytical models for latency, throughput, and bandwidth are developed to evaluate performance. Experimental results, compared to cloudbased systems, show up to 92.8

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