@inproceedings{cf7077d4fc4a4582884d6b5673dfbb71,
title = "Collaborative Recognition over Distributed Underwater Acoustic Network",
abstract = "Fusion among multi-nodes is an important developing direction of underwater acoustic networks. Information fusion of underwater acoustic (UWA) network should be achieved with minimum energy consumption and aim at achieving a high accuracy of specific application. This paper takes underwater recognition as an example to show how distributed estimation methods can contribute to information fusion over UWA network. The optimization of this process includes individual recognition and recognition of the whole network. In this paper, adjusted diffusion strategy is used to complete network information interaction to make full use of the data from the whole network. Besides, Dempster-Shafer (D-S) model is modified in information interaction process to achieve the decision fusion. This method is verified to be able to accomplish an accurate recognition within the whole network without increasing extra energy cost.",
keywords = "D-S evidence theory, decision fusion, diffusion strategy, UWA network",
author = "Xuandi Sun and Haiyan Wang and Xiaohong Shen and Fei Hua",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 OCEANS Hampton Roads, OCEANS 2022 ; Conference date: 17-10-2022 Through 20-10-2022",
year = "2022",
doi = "10.1109/OCEANS47191.2022.9977264",
language = "英语",
series = "Oceans Conference Record (IEEE)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "OCEANS 2022 Hampton Roads",
}
