@inproceedings{6413e62c0dd4403ca56ef1fe98e598a2,
title = "A fast data fusion algorithm based on matrix analysis for target recognition in sensor networks",
abstract = "Data fusion always be used to solve the problem of target recognition in wireless sensor networks, and Dempster-Shafer inference have been proven one of effective methods. However, the high computation complexity of D-S evidence combination usually prevent it to be used in low ability sensor networks directly, especially it may violate the requirements for real-time processing and synchronization of sensor networks. To increase the speed of target recognition in wireless sensor networks, a fast data fusion algorithm based on matrix analysis is proposed in this paper, which inherits the idea of D-S evidence theory. The algorithm holds the same recognition capability as D-S evidence combination formula, but reduces time complexity. This conclusion has been confirmed by simulation.",
keywords = "Data fusion, Evidence theory, Matrix analysis, Sensor network, Target recognition",
author = "Quanlong Li and Xiaofei Xu and Qingjun Yan and Zhaobo Wang",
year = "2010",
doi = "10.1109/PCSPA.2010.119",
language = "英语",
isbn = "9780769541808",
series = "Proceedings - 2010 1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010",
pages = "468--474",
booktitle = "Proceedings - 2010 1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010",
note = "1st International Conference on Pervasive Computing, Signal Processing and Applications, PCSPA 2010 ; Conference date: 17-09-2010 Through 19-09-2010",
}