Multi-sensor Data Fusion Algorithm of Triangle Module Operator in WSN

Yanan Yu, Xiufang Feng, Jingxian Hu · 2014

Data fusion is an important method for saving energy in Wireless Sensor Networks (WSNs). For the applications of the WSNs most widely use numerical data, multi-sensor data fusion TMMDF algorithm is designed in this paper. TMMDF algorithm uses Dixon method to eliminate negligent errors in the original data. Then we use OLSF support function to calculate data on each data set and the mean value of support. Finally, we need to select the appropriate triangle module operator fusion to obtain the final fusion results. TMMDF algorithm has low computational complexity and high integration accuracy. Simulation results show that TMMDF algorithm has higher accuracy and robustness.

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