<p>Three feature groups.</p>

A 5.5 KB dataset by Shengtian Zhang, last updated in May 2026, supports research into computation offloading for maritime digitalization. It contains three feature groups designed for evaluating a deep reinforcement learning algorithm that optimizes latency and energy consumption in dynamic maritime environments. The dataset is licensed under CC-BY-4.0 and is stored in an XLS file format.

Use Cases

• Training reinforcement learning agents for maritime computation offloading based on the described feature groups
• Benchmarking optimization algorithms for latency-energy trade-offs in edge computing
• Simulating dynamic maritime wireless channel conditions for system constraint validation

Strengths

• Dataset is small at 5.5 KB, facilitating quick download and inspection
• Explicitly supports a zero rate of invalid actions and satisfaction of all system constraints as per the study

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download
• Description metadata is limited; actual data quality requires manual inspection after download

Provenance

Source

Shengtian Zhang via figshare

Collection Method

Likely generated from experiments with a proposed deep reinforcement learning algorithm.

Freshness

Last updated 2026-05-11 17:37:57