摘要
针对无线传感网中节点部署密度大、数据冗余度高、能量有限和易遭攻击等问题,提出基于LEACH算法的多因子可靠数据融合优化策略。该策略对LEACH算法做出3方面优化改进:在数据融合的相似度计算中增加两个可靠性优化因子MN-LEACH和LF-LEACH;在数据传输中采用多路径传输优化因子MT-LEACH。在敌对环境中,为避免大量恶意节点干扰真实数据,提高数据融合精确度,首先对突发的非线性噪声数据采用拉普拉斯函数而非高斯函数进行过滤,然后采用MN-LEACH优化因子计算相似度,通过加权平均进行数据融合,最后采用LF-LEACH优化因子对链路传输进行检测,并在传输时采用MT-LEACH优化因子,从而使链路负载更加均衡。实验结果表明,该策略与传统LEACH算法相比,在数据融合精确度、信噪比及能耗等方面有明显的优势。
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.
出处
《计算机科学》
CSCD
北大核心
2014年第B11期162-167,共6页
Computer Science
基金
国家自然科学基金项目(61379079)资助
