GRFFS_Experimental_Data
收藏IEEE2026-04-17 收录
下载链接：
https://ieee-dataport.org/documents/grffsexperimentaldata-1
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资源简介：
This dataset corresponds to the experimental data supporting the manuscript on \Geographical Information-Based Reflective Collaborative False Data Filtering (GRFFS) for Wireless Sensor Networks\ (submitted to IEEE Sensors Journal). It consists of 6 structured sheets (all in English), directly aligned with key sections (Section 6.1, 5.2\u20135.4, etc.) of the manuscript.Sheet 1 contains basic experimental parameters (e.g., network area, node count, key pool settings) for the GRFFS framework; Sheets 2\u20136 present core experimental results: compromise tolerance (Sheet 2), energy consumption (Sheet 3), filtering delay & scalability (Sheet 4), filtering rate (Sheet 5), and storage overhead (Sheet 6). All data are derived from theoretical analysis and simulation experiments, with 3 replicate trials per metric and a test error range of \u00b15%\u2014ensuring academic rigor, reproducibility, and compliance with IEEE Sensors Journal\u2019s data submission standards. This dataset enables verification and replication of the GRFFS framework\u2019s performance conclusions in the manuscript.
提供机构：
Zhixiong Liu
