DocumentCode :
3570793
Title :
Multi-sensor Data Fusion Algorithm of Triangle Module Operator in WSN
Author :
Yanan Yu ; Xiufang Feng ; Jingxian Hu
Author_Institution :
Dept. of Comput. Sci. & Technol., Taiyuan Univ. of Technol., Taiyuan, China
fYear :
2014
Firstpage :
105
Lastpage :
111
Abstract :
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.
Keywords :
computational complexity; numerical analysis; sensor fusion; wireless sensor networks; Dixon method; OLSF support function; TMMDF algorithm; WSN; computational complexity; multisensor data fusion algorithm; numerical data; triangle module operator; triangle module operator fusion; wireless sensor network; Accuracy; Algorithm design and analysis; Data integration; Equations; Fitting; Mathematical model; Wireless sensor networks; OLSF support function; TMMDF algorithm; Wireless Sensor Networks; multi-sensor data fusion; negligent errors; triangle module operator;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mobile Ad-hoc and Sensor Networks (MSN), 2014 10th International Conference on
Type :
conf
DOI :
10.1109/MSN.2014.21
Filename :
7051757
Link To Document :
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