articleIEEE Internet of Things JournalFeb 16, 2026Closed access

TinyLSN: A Lightweight Network for Real-Time Marine Pipeline Leakage Detection in IoT Systems

YLYuchen LuYZYuxuan ZhangHLHongbing LiuSBSebastian Bader

Harbin Engineering University · Yantai University · +2 more institutions

Indexed incrossref

Abstract

Intelligent acoustic emission-based pipeline leak detection technology plays a critical role in Internet of Things structural health monitoring for offshore platforms. However, traditional deep networks possess large parameter counts and high computational complexity, making them infeasible for deployment on resource-constrained edge nodes, while lightweight methods universally adopt single-scale feature extraction and cannot simultaneously capture short-duration burst and long-range attenuation characteristics of acoustic emission signals, resulting in insufficient discriminative capability for adjacent valves. To address this, this paper proposes Tiny Leak Sense Net (TinyLSN), a novel lightweight leak…

Citation impact

5
total citations
FWCI
43.46
Percentile
100%
References
0
Too recent for citation history.

Authors

4

Topics & keywords

Topics
Keywords
  • Edge computing
  • Edge device
  • Pipeline (software)
  • Pipeline transport
  • Benchmark (surveying)
  • Enhanced Data Rates for GSM Evolution
  • Residual
  • Feature extraction
No related works found for this paper.

Funding