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arXiv:2611.15595 · v1

From Isolated Protocols to Integrated Pipelines: Benchmarking IoT Communication in the MASA Living Lab

首次提交 2026-11-11 23:14
版本更新 2026-11-11 23:14
雷达观测 2026-11-13 14:16
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摘要

The performance of real-time IoT communication systems depends not only on individual transport protocols, serialization formats, and data-processing stages, but also on how these components interact within the complete communication pipeline. Selecting an appropriate communication stack is therefore application-dependent and requires considering processing capabilities, network characteristics, communication patterns, and reliability requirements. This paper provides an experimental, evidence-based analysis of these interactions through a controlled benchmark of integrated communication pipelines deployed in the MASA living lab. We jointly evaluate local processing overhead, end-to-end latency, jitter, throughput, and delivery reliability across different combinations of transport, messaging, serialization, and compression mechanisms. Results show that component-level processing costs do not directly predict end-to-end performance. In particular, differences of only tens of microseconds in serialization or compression costs can coexist with several-millisecond differences in end-to-end latency, while middleware buffering and transport behavior substantially affect timing performance. The results demonstrate that communication-stack components should be evaluated as integrated pipelines and under representative operating loads rather than ranked independently.

作者备注:Accepted for publication at the IEEE 2027 Consumer Communications and Networking Conference; track T3: Testbeds, Experimentation and Datasets for Communications and Networking

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v1 · 2026-11-11 23:14 · 最新观测版本

From Isolated Protocols to Integrated Pipelines: Benchmarking IoT Communication in the MASA Living Lab

The performance of real-time IoT communication systems depends not only on individual transport protocols, serialization formats, and data-processing stages, but also on how these components interact within the complete communication pipeline. Selecting an appropriate communication stack is therefore application-dependent and requires considering processing capabilities, network characteristics, communication patterns, and reliability requirements. This paper provides an experimental, evidence-based analysis of these interactions through a controlled benchmark of integrated communication pipelines deployed in the MASA living lab. We jointly evaluate local processing overhead, end-to-end latency, jitter, throughput, and delivery reliability across different combinations of transport, messaging, serialization, and compression mechanisms. Results show that component-level processing costs do not directly predict end-to-end performance. In particular, differences of only tens of microseconds in serialization or compression costs can coexist with several-millisecond differences in end-to-end latency, while middleware buffering and transport behavior substantially affect timing performance. The results demonstrate that communication-stack components should be evaluated as integrated pipelines and under representative operating loads rather than ranked independently.

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