基于LEACH协议的多因子可靠数据融合优化策略

发布时间：2018-03-31 15:41

本文选题：无线传感网　切入点：LEACH算法　出处：《计算机科学》2014年S2期

【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。
[Abstract]:Aiming at the problems of high deployment density of nodes, high data redundancy, limited energy and vulnerability to attack in wireless sensor networks, and so on, A multi-factor reliable data fusion optimization strategy based on LEACH algorithm is proposed. The strategy improves the LEACH algorithm in three aspects: adding two reliability optimization factors MN-LEACH and LF-LEACHin the similarity calculation of data fusion and data transmission. The multipath transmission optimization factor MT-LEACH. in hostile environments, In order to avoid a large number of malicious nodes interfering with real data and improve the accuracy of data fusion, the burst of nonlinear noise data is filtered by Laplace function instead of Gao Si function, and then MN-LEACH optimization factor is used to calculate the similarity. Through weighted average data fusion, LF-LEACH optimization factor is used to detect link transmission, and MT-LEACH optimization factor is used in transmission, which makes the link load more balanced. Experimental results show that the strategy is compared with the traditional LEACH algorithm. It has obvious advantages in data fusion accuracy, signal-to-noise ratio and energy consumption.
【作者单位】：郑州大学信息工程学院;
【基金】：国家自然科学基金项目(61379079)资助
【分类号】：TP212.9;TN929.5

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