Spatio-Temporal Fingerprint Localization for Shipboard Wireless Sensor Networks
Spatio-Temporal Fingerprint Localization for Shipboard Wireless Sensor Networks is a scholarly work, published in 2018 in ''IEEE Sensors Journal''. The main subjects of the publication include real-time computing, data mining, artificial intelligence, feature extraction, radio propagation, noise, biological robustness, Speech enhancement, wireless sensor network, indoor positioning system, principal component analysis, fingerprint, wireless communication, computer science, and fingerprint. Extensive experiments on the passenger ship Yangtze 2 demonstrate the effectiveness of the proposed algorithm in providing higher accuracy than previous fingerprint-based methods.