Reliable Data Aggregation Strategy of Multi-optimized Factors Based on LEACH Algorithm
Wang Zhen-fe · 2014
Owing to the deployment of nodes in high density and limited energy,the wireless sensor nodes have the problems of high data redundancy and are vulnerable to be attacked,and so on.We proposed a reliable data aggregation strategy of multi-optimized factors based on LEACH algorithm in wireless sensor networks.The strategy makes some improvements to optimize the LEACH algorithm in three aspects:two reliable optimizing factors MN-LEACH and LFLEACH are adopted during the calculation of data fusion in the similarity;the optimization of multi-path transmission factor MT-LEACH is used for data transmission.Firstly,in a hostile environment,Laplace is used instead of Gauss function to filter the emergent and nonlinear noise data in order to avoid a large number of malicious nodes interfering with real data and improve the accuracy of data fusion,and then we used MN-LEACH optimizing factor to calculate similarity and average the weight for data aggregation.Finally,we used optimization of LF-LEACH factor to detect the link transmission,and adopted the MT-LEACH optimizing factor in the process of transmission as well,so that the load of links will be balanced.The experimental results show that the strategy outperforms the traditional LEACH strategy,in terms of accuracy of data aggregation,signal-to-noise ratio and energy consumption,and so on.