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随着WSNs的广泛应用,其安全问题也逐渐暴露出来,而传统网络安全防御体系已无法为WSNs的安全提供足够的保障.信任模型作为网络安全防御体系的重要补充,在一定的程度上可以解决WSNs中的安全问题.本文结合WSNs的研究现状,研究WSNs的相关安全问题,分析了WSNs在运行和数据融合过程中受到的威胁;考虑到WSNs中节点存在随机性、不确定性等模糊特性,引入模糊理论,研究并提出基于WSNs的模糊信任模型;在模糊信任模型研究基础上,以提高WSNs数据融合的可信性、有效性为目标,同时考虑到节点计算能力及能量受限等因素,研究并提出了基于模糊信任的可信数据融合算法;仿真实验验证了本文研究的基于WSNs的模糊信任模型、基于模糊信任的可信数据融合算法能够准确评判节点数据是否可信,使节点数据融合结果更加准确,这也为WSNs中数据融合的研究提供了一种可行的研究方案.
With the wide application of WSNs, the security problems are gradually exposed, and the traditional network security defense system has failed to provide adequate security for WSNs.As an important complement to the network security defense system, the trust model can be solved to some extent WSNs security issues.This paper studies the WSNs related security issues, analyzes the WSNs in the process of running and data fusion threats; Considering the WSNs node randomness, uncertainty and other fuzzy characteristics, Fuzzy theory is introduced to study and propose a fuzzy trust model based on WSNs. Based on the research of fuzzy trust model, this paper aims to improve the credibility and validity of data fusion of WSNs. At the same time, taking into account such factors as node computing power and energy constraints, The trustworthy data fusion algorithm based on fuzzy trust is researched and proposed. The simulation experiment verifies the fuzzy trust model based on WSNs, and the trustworthy data fusion algorithm based on fuzzy trust can accurately judge whether the node data is credible and the node data fusion The result is more accurate, which also provides a feasible research for the data fusion in WSNs Program.