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《Journal of Data Acquisition and Processing》 2011-01
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Effective Method for Resilient Data Aggregation in Wireless Sensor Networks

Luo Yongjian,Ding Xiaoyong,Luo Xianggen,Ding Guangdong(Department of Electronic Engineering,Xi′an Communications Institute,Xi′an, 710106,China)  
The performance of the existing resilient data aggregation methods in wireless sensor networks is reduced when the additive attack is low,and its robustness to resist the noise interference is also bad.For these considerations,a resilient data aggregation algorithm based on gray relationship degree and parallel distance of probability density is proposed.The method uses the weighted idea of IUMRDA for reference,and combines gray relationship degree and parallel distance of probability density into the weighted operation.Compared with the existing techniques,the method can improve the aggregation performance under the slight attack and upgrade the robustness to resist the noise interference.Simulation results show the effectiveness of the method.
【CateGory Index】: TP212.9;TN929.5
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1 Wu Qi-qian Zhang Xiong-wei Zou Xia (Department of Electronic Information Engineering, ICE PLAUST, Nanjing 210007, China);Voice Activity Detection Using Parallel Distance of Probability Density[J];Journal of Electronics & Information Technology;2008-12
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