A Fast Data Fusion Algorithm Based on Matrix Analysis for Target Recognition in Sensor Networks
Quanlong Li, Xiaofei Xu, Qingjun Yan, Zhaobo Wang · 2010
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.