Resilient data aggregation method based on similarity in wireless sensor networks
Yongjian Luo, Shi Deyang, Yintao Hou, Hou Shen · Jisuanji yingyong yanjiu · 2012
For the low aggregation precision and bad performance against the noise jamming of the existing resilient data aggregation algorithm in wireless sensor networks,this paper proposed an algorithm based on the similarity of the sensor readings.On the base of the distributed model of data aggregation,it applied the gravity distance and correlation coefficient as measurements,and then combined into the weighted operation.Meanwhile,the correlation coefficient was sensitive to the noise jamming,which could improve the robustness of the new algorithm.Theoretical analysis and simulation results show that the performance of the new algorithm is better than that of the existing resilient data aggregation algorithm.