Research Article
Credibility Mechanism Enabled Trusted Radio Environment Map Construction with Improved Kriging Estimation
@INPROCEEDINGS{10.1007/978-3-032-33662-0_16, author={Liubi Huang and Wei Wang and Xiaolong Hu and Yiliang Liu}, title={Credibility Mechanism Enabled Trusted Radio Environment Map Construction with Improved Kriging Estimation}, proceedings={Communications and Networking. 20th EAI International Conference, ChinaCom 2025, Xi’an, China, November 8--9, 2025, Proceedings}, proceedings_a={CHINACOM}, year={2026}, month={10}, keywords={Radio Environment Map Kriging Estimation Method Reputation}, doi={10.1007/978-3-032-33662-0_16} }- Liubi Huang
Wei Wang
Xiaolong Hu
Yiliang Liu
Year: 2026
Credibility Mechanism Enabled Trusted Radio Environment Map Construction with Improved Kriging Estimation
CHINACOM
Springer
DOI: 10.1007/978-3-032-33662-0_16
Abstract
Existing Radio Environment Map (REM) estimation methods face unreliable perception results due to data forgery and tampering, as well as significant estimation errors. To address these issues, we propose an improved Kriging estimation method based on a reputation mechanism, enhance the accuracy of REM, under malicious and non-uniform nodes distributions. First, when selecting a set of trustworthy nodes, both reputation value and geographical locations are considered to mitigate large estimation errors caused by the non-uniform trustworthy node distribution. Second, a credibility update mechanism and the adaptive credibility threshold are employed to continuously select high-credibility nodes to join the trustworthy set. Simulation results demonstrate that the proposed method can maintain low estimation errors even under non-uniform nodes distributions.